Search results for "Artificial Intelligence and Machine Learning Applications for Sustainable Development"
Items we need to order for you
Artificial Intelligence and Machine Learning Applications for Sustainable Development
The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. It further discusses how smart technologies are employed to optimize energy production and storage, enhance energy efficiency, and improve the overall sustainability of energy systems.This book:Discusses artificial intelligence-based techniques, namely, neural networks, fuzzy expert systems, optimization techniques, and operational researchShowcases the importance of artificial intelligence and machine learning in the energy market, demand analysis, and forecasting of renewable energy applicationsIllustrates strategies for sustainable development using artificial intelligence and machine learning applicationsPresents applications of artificial intelligence in the domain of electronics transformation and development, smart cities, and renewable energy utilizationHighlights the role of artificial intelligence in solving problems such as image and signal processing, smart weather monitoring, smart farming, and distributed energy sourcesIt is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical, electronics and communications, energy, and environmental engineering.
R 3,187.00
Artificial Intelligence and Machine Learning Applications for Sustainable Development
The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. It further discusses how smart technologies are employed to optimize energy production and storage, enhance energy efficiency, and improve the overall sustainability of energy systems.This book:Discusses artificial intelligence-based techniques, namely, neural networks, fuzzy expert systems, optimization techniques, and operational research.Showcases the importance of artificial intelligence and machine learning in the energy market, demand analysis, and forecasting of renewable energy applications.Illustrates strategies for sustainable development using artificial intelligence and machine learning applications. Presents applications of artificial intelligence in the domain of electronics transformation and development, smart cities, and renewable energy utilization.Highlights the role of artificial intelligence in solving problems such as image and signal processing, smart weather monitoring, smart farming, and distributed energy sources.It is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, energy, and environmental engineering.
R 9,962.88
Artificial Intelligence and Machine Learning for Sustainable Development
Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development.The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.
R 2,674.00
Artificial Intelligence and Machine Learning for Sustainable Development
Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development.The book examines cutting edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. It would be of special ot researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.
R 7,613.89
Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation.
R 4,855.00
Artificial Intelligence, Engineering Systems and Sustainable Development
Development in any country is impossible if reliable and affordable energy, safe water and sanitation, as well as telecommunication facilities, are not easily accessible. Artificial intelligence and machine learning techniques are now widely used in all branches of engineering to build and optimize systems. The combination of AI and engineering can indeed act as a real catalyst to achieve the UN SDGs.The volume editors present an analysis of different concepts and case studies in engineering disciplines such as chemical, civil, electrical, telecommunications and mechanical engineering, demonstrating how engineering systems and processes can leverage the power of AI to drive and achieve the UN SDGs. Topics covered include sustainable crop production and consumption, AI based clean water and sanitation monitoring, intelligent transport systems and achieving affordable and clean energy through AI and 5G powered internet of energy.Such a study is of paramount importance and is a valuable source of information for researchers, engineers, and policy makers to be able to better design and adopt AI enabled techniques in different engineering areas, with a view to catalyze the achievement of the UN SDGs.
R 4,520.03
Sustainable Development through Machine Learning, AI and IoT
This book constitutes the revised selected papers of the First International Conference, ICSD 2023, virtually held in Delhi, India, during July 15–16, 2023.The book comprises 31 full papers that were selected from a total of 129 submissions. It provides insights into the latest research and advancements in sustainable development through the integration of machine learning, artificial intelligence, and IoT technologies. It serves as a valuable resource for researchers, practitioners, and policymakers working in the field of sustainable development.
R 3,523.90
AI Applications for Clean Energy and Sustainability
The global demand for clean energy solutions the urgency of addressing climate change continue to intensify, and as such, the need for innovative approaches becomes increasingly paramount. However, navigating the complex landscape of clean energy production and sustainability presents significant challenges. Traditional methods often fall short in efficiently optimizing renewable energy systems and mitigating environmental impacts. Moreover, the integration of artificial intelligence (AI) into the energy sector remains underexplored, despite its potential to revolutionize operations and drive sustainable development. AI Applications for Clean Energy and Sustainability emerges, working to tackle these pressing issues. This comprehensive volume delves into the transformative power of AI in revolutionizing clean energy production, distribution, and management. By harnessing machine learning algorithms, data analytics, and optimization techniques, the book offers innovative solutions to enhance the efficiency, reliability, and scalability of renewable energy systems. Through real-world case studies and practical examples, it illustrates AI's potential to optimize energy infrastructure, monitor marine ecosystems, and predict climate change impacts, thereby paving the way for a more sustainable future. Designed for researchers, policymakers, industry professionals, and students alike, this book serves as a roadmap towards a greener and more resilient world. By providing insights into cutting-edge AI technologies and their applications in the energy sector, the book empowers stakeholders to address the challenges of climate change and advance sustainability goals. With its interdisciplinary approach and emphasis on practical solutions, this book inspires collaboration and innovation, driving meaningful progress towards a cleaner and more sustainable energy future.
R 11,596.11
Achieving Sustainability with AI Technologies
In the wake of rapid industrial expansion and the consequent surge in energy consumption, our planet faces an imminent threat—global warming. The symbiotic relationship between escalating industrial activities and the insatiable demand for energy resources has given rise to a pressing environmental crisis. As information technology (IT) and computing services advance at an unprecedented pace, the need for energy usage grows exponentially, exacerbating the environmental impact. The world is at a crossroads, demanding a transformative solution that not only addresses the energy conundrum but also steers technological advancements toward a sustainable future. Achieving Sustainability with AI Technologies stands as the beacon of hope in this environmental conundrum. Edited with the intent of delivering a convergence strategy, this book comprehensively explores, transforms, and develops technological systems tailored to emerging technologies in society. Targeted at academic scholars, the book encapsulates a groundbreaking approach to the energy crisis by unraveling the potential of Green Computing. It serves as a pivotal guide, offering insights into sustainable cloud computing, harnessing artificial intelligence and machine learning for sustainability, navigating sustainable wireless systems and networks, and pioneering Green IoT and Edge-AI. Each chapter provides a profound exploration of solutions that bridge the gap between technological advancements and sustainable practices. As nations grapple with the repercussions of energy-intensive industrial growth, Achieving Sustainability with AI Technologies emerges as an indispensable solution. This book is not merely a collection of academic discussions; it is a roadmap toward a greener, more sustainable future. By offering a strategic convergence of technology and environmental consciousness, it empowers scholars and researchers to contribute actively to the paradigm shift needed for our planet's survival.
R 9,307.04
Achieving Sustainability with AI Technologies
In the wake of rapid industrial expansion and the consequent surge in energy consumption, our planet faces an imminent threat—global warming. The symbiotic relationship between escalating industrial activities and the insatiable demand for energy resources has given rise to a pressing environmental crisis. As information technology (IT) and computing services advance at an unprecedented pace, the need for energy usage grows exponentially, exacerbating the environmental impact. The world is at a crossroads, demanding a transformative solution that not only addresses the energy conundrum but also steers technological advancements toward a sustainable future. Achieving Sustainability with AI Technologies stands as the beacon of hope in this environmental conundrum. Edited with the intent of delivering a convergence strategy, this book comprehensively explores, transforms, and develops technological systems tailored to emerging technologies in society. Targeted at academic scholars, the book encapsulates a groundbreaking approach to the energy crisis by unraveling the potential of Green Computing. It serves as a pivotal guide, offering insights into sustainable cloud computing, harnessing artificial intelligence and machine learning for sustainability, navigating sustainable wireless systems and networks, and pioneering Green IoT and Edge-AI. Each chapter provides a profound exploration of solutions that bridge the gap between technological advancements and sustainable practices. As nations grapple with the repercussions of energy-intensive industrial growth, Achieving Sustainability with AI Technologies emerges as an indispensable solution. This book is not merely a collection of academic discussions; it is a roadmap toward a greener, more sustainable future. By offering a strategic convergence of technology and environmental consciousness, it empowers scholars and researchers to contribute actively to the paradigm shift needed for our planet's survival.
R 12,181.63
Explainable Artificial Intelligence for Sustainable Development
This book explores how transparent, interpretable AI technologies can support sustainable progress across industries and societies. It brings together theoretical foundations and practical applications of explainable AI (XAI) aligned with the UN’s Sustainable Development Goals (SDGs), offering insights into its potential for responsible innovation.It provides a comprehensive understanding of how explainable AI enhances trust, ethics, and accountability in AI-driven decisions. Through diverse case studies — from banking, e-commerce, and sustainability reporting, to psychiatry, education, and energy—the book demonstrates XAI’s transformative role in driving sustainable business practices and societal well-being. Each chapter merges cutting-edge research with real-world examples, making complex AI systems more accessible and socially relevant. The book bridges gaps between disciplines, offering a holistic and actionable perspective on AI for sustainability.This book is a vital resource for researchers, professionals, and policymakers seeking to harness AI responsibly. Academics in social sciences, economics, and information systems will find a strong theoretical base, while practitioners in business, government, and NGOs gain practical tools for implementing XAI in real contexts. It is also well-suited for students, educators, and AI enthusiasts aiming to align innovation with sustainable, ethical transformation.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license.
R 9,321.88
Renewable Energy and AI for Sustainable Development
Electronic device usage has increased considerably in the past two decades. System configurations are continuously requiring upgrades; existing systems often become obsolete in a matter of 2–3 years. Green computing is the complete effective management of design, manufacture, use, and disposal, involving as little environmental impact as possible. This book intends to explore new and innovative ways of conserving energy, effective e-waste management, and renewable energy sources to harness and nurture a sustainable eco-friendly environment.This book:• Highlights innovative principles and practices using effective e-waste management and disposal• Explores artificial intelligence based sustainable models• Discovers alternative sources and mechanisms for minimizing environmental hazards• Highlights successful case studies in alternative sources of energy• Presents solid illustrations, mathematical equations, as well as practical in-the-field applications• Serves as a one-stop reference guide to stakeholders in the domain of green computing, e-waste management, renewable energy alternatives, green transformational leadership including theory concepts, practice and case studies• Explores cutting-edge technologies like internet of energy and artificial intelligence, especially the role of machine learning and deep learning in renewable energy and creating a sustainable ecosystem• Explores futuristic trends in renewable energyThis book aims to address the increasing interest in reducing the environmental impact of energy as well as its further development and will act as a useful reference for engineers, architects, and technicians interested in and working with energy systems; scientists and engineers in developing countries; industries, manufacturers, inventors, universities, researchers, and interested consultants to explain the foundation to advanced concepts and research trends in the domain of renewable energy and sustainable computing. The content coverage of the book is organized in the form of 11 clear and thorough chapters providing a comprehensive view of the global renewable energy scenario, as well as how science and technology can play a vital role in renewable energy.
R 2,711.00
Artificial Intelligence and Modeling for Water Sustainability
Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor dispersion and leakage of pollutants before they reach groundwater. With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book help governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain better insight into the implementation of more effective remedial measures.FEATURESProvides cutting-edge AI applications in water sector.Highlights the environmental models used by experts in different countries.Discusses various types of models using AI and its tools for achieving sustainable development in water and groundwater.Includes case studies and recent research directions for environmental issues in water sector.Addresses future aspects and innovation in AI field related to watersustainability.This book will appeal to scientists, researchers, and undergraduate and graduate students majoring in environmental or computer science and industry professionals in water science and engineering, environmental management, and governmental sectors. It showcases artificial intelligence applications in detecting environmental issues, with an emphasis on the mitigation and conservation of water and underground resources.
R 8,244.02
Artificial Intelligence and Sustainability
This book gives readers the tools to craft AI systems that don't just thrive today, but endure sustainably into the future. Whether a trailblazer or an aspiring innovator, this book enables readers to resonate with the ambitions of software developers, data scientists, and AI practitioners. The author covers the latest techniques and best practices for energy efficiency, reducing carbon footprints, and ensuring fair and ethical AI. The book also addresses important issues such as AI governance, managing risks, and ensuring transparency. Topics covered include understanding the relationship between AI and sustainable development, strategies for building efficient AI systems, and ethical considerations in AI development, among others. The author includes case studies of companies and organizations that have successfully implemented sustainable AI software development practices. Therefore, this book will be of interest to AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.
R 4,762.00
Technological Innovation and Sustainability through AI
This book provides a comprehensive examination of the role of artificial intelligence (AI) in driving technological innovation and promoting sustainability across various industries. The book begins by outlining the foundational principles of AI, exploring its core technologies, and presenting an overview of ethical considerations in AI development and deployment.The book includes sections on: AI in healthcare, which includes advancements in AI-enabled diagnostics, personalized treatment, drug discovery, and predictive modeling for disease outbreaks; AI's potential for social good, examining its role in combating disinformation, enhancing education, supporting humanitarian efforts, and promoting accessibility and inclusion; the future of work, including the dynamics of human-AI collaboration, new job paradigms, and the challenges of AI-driven automation, as well as practical recommendations for upskilling and reskilling the workforce. The book also considers technological advancements that contribute to sustainable development, such as machine learning for energy efficiency, smart grids, and sustainable agriculture. The book emphasizes the need for interdisciplinary collaboration among researchers, industry leaders, and policymakers to harness AI's potential for a sustainable future.Technological Innovation and Sustainability through AI offers a valuable resource for academics, practitioners, and policymakers, providing a holistic understanding of how AI can be leveraged to drive technological innovation and sustainability.
R 6,960.00
Building Next-Gen ESG Platforms with IoT and AI for Sustainable Development Goals
The book offers a comprehensive blueprint for using AI, IoT, and advanced analytics to achieve measurable sustainability outcomes across industries. It begins with a deep dive into AI basics, including machine learning, deep learning, generative AI, and large language models such as OpenAI’s GPT, LLaMA, and DistilBERT. The book addresses the challenges of training Environmental, Social, and Governance (ESG)-focused models, introduces fast language models for edge applications, and explores benchmarks like MMLU, GPQA, and MGSM. Step-by-step tutorials guide readers through developing multi-label ESG IoT Edge models, fine-tuning neural networks, and implementing Retrieval-Augmented Generation and Hierarchical Navigable Small World search patterns.Application oriented chapters highlight IoT-enabled GHG monitoring—including methane and rumination tracking with Class 10 veterinary sensors—feed and water optimization, and AI in disconnected networks for remote agriculture. Real-world case studies cover automation in agriculture and dairy, AI-powered veterinary assistants, market outlook summarization, and agentic AI architectures for ESG intelligence. Combining practical implementation - codes, training pipelines, and deployment guides - with strategic ESG insights, the book provides a cross-disciplinary framework for innovators, policymakers, and business leaders committed to building transparent, scalable, and data-driven ESG platforms aligned with the UN Sustainable Development Goals.
R 8,572.00
Artificial Intelligence Techniques for Sustainable Development
The book aims to increase the efficiency of the algorithms with a lesser number of computations as well as optimize the resources with cost-effective solutions. It further discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications.Some key features of the book are-1 Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental health. 2 Highlights the advancement in electronics and communication technology for green applications. 3 Covers smart energy harvesting/charging and power management techniques using machine learning. 4 Explains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network security. 5 Illustrates prediction models for carbon emission and sequestration, environmental health, and climate change. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering.
R 9,345.97
Advanced Intelligent Systems for Sustainable Development (AI2SD’2019)
This book contains the latest researches on advanced intelligent systems applied in the field of education presented during the second edition of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) held on July 08–11, 2019, in Marrakech, Morocco.The book proposes new approaches and innovative strategies for the manipulation of data and big data collected from the educational environment, exploiting the analysis tools, algorithms of artificial intelligence, and machine learning techniques, in order to extract results, which allow improving the performance and effectiveness of the education field, which is a strategic lever for sustainable development. The book deals with concepts, strategies, and approaches developed on various current axes of scientific research in the field of education, such as smart e-learning, smart education (smart classroom, smart assessment and smart teaching and learning technologies), massive open online courses (MOOC), courseware design, and development for smart learning, cloud learning, and mobile learning.The book is intended for all actors in the educational sector, namely students, professors, academic researchers, and stakeholders. It constitutes a large-scale forum for the exchange of ideas, approaches, and innovative techniques between these actors on the development and innovation of the field of education with the revolution 4.0.The authors of each chapter report the state of the art of the various topics addressed and present results of their own research, laboratory experiments, and successful applications. The purpose of this session is to share the idea of advanced intelligent systems with appropriate tools and techniques for modeling, management, and decision support in the field of education.
R 5,501.03
AI and ML Techniques in IoT-based Communication
An insightful and up-to-date discussion of how to use contemporary IoT and AI technology to advance sustainable development initiatives In AI and ML Techniques in IoT-based Communication: A Path to Sustainable Development Goals, a team of distinguished editors presents an astute discussion of the importance of connected devices and intelligent algorithms in the generation of innovative solutions to global challenges. The book explains how to exploit the synergy between Internet of Things (IoT) and artificial intelligence (AI) technologies to further the United Nations’ Sustainable Development Goals (SDGs). Readers will learn how to enable smarter, data-driven approaches to difficult global problems, including climate change, inadequate health care delivery, and energy inefficiency. Expert contributors explore emerging trends, potential pitfalls, and likely future developments in IoT, AI, and machine learning (ML) in sustainable development. Additional topics include: A thorough introduction to IoT communication protocols and standards relevant to sustainable development Comprehensive explorations of artificial intelligence and machine learning techniques for enhancing IoT-based communication Practical discussions of water resource and energy management, sustainable agriculture, and sustainable transportation and logistics Complete treatments of AI-driven communication optimization for sustainability Perfect for academics, researchers, industry practitioners, and policymakers with an interest in IoT, AI, ML, and their applications to sustainable development, AI and ML Techniques in IoT-based Communication will also benefit professionals working at non-profit and non-governmental organizations focused on advancing sustainable development initiatives.
R 4,559.00
Sustainability in Light of Governance and Artificial Intelligence Applications
Numerous success stories demonstrate the value of artificial intelligence, showing how companies that incorporate machine learning and cognitive interaction into traditional business processes and applications can significantly enhance user experience and increase productivity. However, there are challenges to widespread AI adoption. Few companies have implemented AI at scale, partly due to several obstacles. The research presented here emphasizes the vital role of governance and artificial intelligence in ensuring business sustainability across various industries, highlighting the key elements that show how business governance and AI impact company survival. Furthermore, the book explores the alignment of governing rules and regulations with digital technologies, such as data governance, data constraints, and overcoming technical challenges, to enhance AI applications, self-service portals, and online support systems. By utilizing big data and cloud solutions, it is demonstrated how these integrations can improve decision-making processes both inside and outside the business environment.Technological Innovation and Sustainability for Business Competitive Advantage emphasizes the scientific exploration of business challenges faced by organizations while offering practical solutions. By contributing to the development and enhancement of business theories and practices and by promoting scientific research in technological innovation and sustainability the volumes facilitate meaningful dialogues among academics practitioners and individuals.
R 4,254.00
Artificial Intelligence Applications for a Sustainable Environment
This book explores the applications of artificial intelligence (AI) in environmental protection, with a focus on pollution monitoring and mitigation. Offering an authoritative perspective on circular and green economies through strategic AI deployment, it covers topics like risk management for human health impacts, optimization of water engineering processes, and real-time monitoring for contamination detection. Particular attention is given to water-quality-related concerns and optimizing operational parameters critical for wastewater treatment. In this book, readers will discover how AI is applied for early warning systems, detecting potential contamination in aquatic, terrestrial, and atmospheric environments. Expert contributors discuss the integration of AI with environmental sustainability, the Internet of Things (IoT), machine learning, and automated monitoring techniques. The book also highlights the role of AI-supported low-cost smart sensors in environmental monitoring and climate change mitigation. Other key topics include intelligent control systems for wireless monitoring of waste management in green cities and AI's potential in diagnosing, managing, and forecasting air-pollution-related diseases for atmospheric sustainability. The book concludes with recommendations for maintaining a circular and green economy. Given its breadth, this book is an indispensable resource for researchers, scholars, and practitioners interested in understanding the transformative role of AI in environmental engineering and its contribution to sustainable development.
R 6,228.00
Artificial Intelligence and Modeling for Water Sustainability
Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor dispersion and leakage of pollutants before they reach groundwater. With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book help governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain better insight into the implementation of more effective remedial measures.FEATURESProvides cutting-edge AI applications in water sector.Highlights the environmental models used by experts in different countries.Discusses various types of models using AI and its tools for achieving sustainable development in water and groundwater.Includes case studies and recent research directions for environmental issues in water sector.Addresses future aspects and innovation in AI field related to watersustainability.This book will appeal to scientists, researchers, and undergraduate and graduate students majoring in environmental or computer science and industry professionals in water science and engineering, environmental management, and governmental sectors. It showcases artificial intelligence applications in detecting environmental issues, with an emphasis on the mitigation and conservation of water and underground resources.
R 2,564.00
Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications
This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development.
R 6,143.01
Artificial Intelligence in Action
Business practices are being drastically altered and improved using AI and machine learning (ML), a branch of AI that enables autonomous machines. Big data can assist AI to automatically learn and acquire knowledge to assist managers in achieving their practical and technical objectives. AI brings new methods for conducting business, finding new chances in the global market, and executing work.Artificial Intelligence in Action: Transforming Industries and Society focuses on novel ideas and research for providing a broader outlook on AI in business and society. The book:Reflects the diverse applications of AI, from healthcare and education to finance and e-commerce, while emphasizing sustainabilityHighlights the transformative role of AI in addressing modern challenges across multiple sectors, including public distribution, retail, and human resource managementCovers the evolution and prospects of AI in achieving sustainable development goals, improving education, and advancing social and economic outcomes.The book explores the innovations, disruptions and changes that AI is causing in industry and business. It looks at the fast-evolving global changes being wrought by the rise of large-language models, real-time tools for decision making, and AI-powered analytics. Presenting novel ideas for creating robust sustainability strategies, the book explores answers to the moral and ethical questions about using AI in decision-making, cyber-security, and resource management. Covering a vast swath of industries from healthcare to retail and education, it highlights the meaningful overall impact of AI by addressing key issues, trends, and future perspectives.
R 8,572.00
Artificial Intelligence and Data Science for Sustainability: Applications and Methods
The integration of artificial intelligence (AI) and data science (DS) into sustainability efforts is increasingly crucial as the world faces environmental and resource challenges. By leveraging advanced AI and DS techniques, we can create innovative solutions for sectors like energy, agriculture, and waste management, promoting long-term sustainability. These technologies have the potential to optimize processes, reduce environmental footprints, and support smarter decision-making across industries. Ultimately, AI and DS are key to advancing both the efficiency and impact of sustainability efforts, contributing to a more sustainable future for society at large. Artificial Intelligence and Data Science for Sustainability: Applications and Methods explores the application of AI and DS techniques and methodologies in addressing various sustainability challenges. It brings together cutting-edge research, case studies, and practical applications that demonstrate how AI can be leveraged to promote sustainable development across diverse domains. Covering topics such as structural optimization, drone imagery, and development financing, this book is an excellent resource for computer scientists, computer engineers, urban planners, sustainability professionals, government officials, policymakers, researchers, professionals, scholars, academicians, and more.
R 9,499.43
Harnessing the Potential of Artificial Intelligence to Promote Environmental Sustainability
Harnessing the Potential of Artificial Intelligence to Promote Environmental Sustainability provides a comprehensive examination of how AI is transforming environmental conservation and sustainability efforts. This scholarly work delves into cutting-edge AI technologies—such as automation, data analytics, and machine learning—and explores their potential to address pressing environmental challenges. Through in-depth analysis and practical case studies, the book demonstrates how AI can enhance resource management, support sustainable practices, and improve environmental monitoring.Beyond technical solutions, the authors engage with the ethical considerations and potential risks of deploying AI in environmental contexts. Issues such as fairness, transparency, and accountability in AI systems are explored, along with the need for regulatory frameworks to mitigate negative impacts. An essential resource for researchers, professionals, policymakers, and anyone interested in the intersection of technology and environmental stewardship, this contributed work offers a roadmap for leveraging AI to foster a sustainable future, emphasising the crucial role of advanced technologies in addressing global environmental challenges.
R 4,511.06
Artificial Intelligence for Sustainable Development
Examining how artificial intelligence (AI) can contribute to building a fairer, more resilient, and sustainable world, this book explores the connections between technology, ethics, and sustainability, demonstrating how AI can become a powerful tool for addressing global challenges and enhancing lives.Explaining how AI works, why it matters for sustainable development, and what drives its growing influence on our future, the book presents real-world examples from areas such as clean energy, agriculture, climate action, healthcare, and education, while also discussing the ethical and social issues that arise from rapid technological change. Readers will discover how AI, when used responsibly, can guide humanity toward a more balanced and inclusive future.Artificial Intelligence for Sustainable Development will be of value to students, researchers, policymakers, and anyone interested in exploring how technology can be leveraged to promote sustainability and equity globally.
R 9,308.95
Smart Agriculture for Sustainable Practices
This book offers insights into how modern technologies are transforming agriculture with a focus on their effects in aiding sustainability. It explores the current applications of technologies such as AI, IoT, and machine learning, and their impact on improving crop yield, resource efficiency, and environmental impact. Through practical examples and case studies, it demonstrates how these technologies can address challenges in agriculture and enhance operational efficiency. Key Features:Analysis of how IoT devices and sensor networks are used for real-time monitoring of farm operations, soil conditions, and weather patterns.Studies emerging technologies like machine vision, predictive modelling, and natural language processing, for tasks such as crop monitoring and pest detection.Detailed discussion on machine learning algorithms, including supervised, unsupervised, and reinforcement learning, tailored for agricultural applications.Insights into how AI, IoT, and machine learning optimize resource use, improve crop yield and quality, and enhance sustainability.Case studies to highlight real-life examples from crop management to livestock and water conservation.Smart Agriculture for Sustainable Practices is for researchers, professionals, and policymakers interested in leveraging technology for sustainable agricultural practices.
R 7,587.19
Futuristic Trends for Sustainable Development and Sustainable Ecosystems
A key focus in recent years has been on sustainable development and promoting environmentally conscious practices. In today's rapidly evolving technological world, it is important to consider how technology can be applied to solve problems across disciplines and fields in these areas. Further study is needed in order to understand how technology can be applied to sustainability and the best practices, considerations, and challenges that follow. Futuristic Trends for Sustainable Development and Sustainable Ecosystems discusses recent advances and innovative research in the area of information and communication technology for sustainable development and covers practices in several artificial intelligence fields such as knowledge representation and reasoning, natural language processing, machine learning, and the semantic web. Covering topics such as blockchain, deep learning, and renewable energy, this reference work is ideal for computer scientists, industry professionals, researchers, academicians, scholars, instructors, and students.
R 10,426.94
Emerging Trends in Disruptive Technology Management for Sustainable Development
Interdisciplinary approaches using Machine Learning and Deep Learning techniques are smartly addressing real life challenges and have emerged as an inseparable element of disruption in current times. Applications of Disruptive Technology in Management practices are an ever interesting domain for researchers and professionals. This volume entitled Emerging Trends in Disruptive Technology Management for Sustainable Development has attempted to collate five different interesting research approaches that have innovatively reflected diverse potential of disruptive trends in the era of 4th. Industrial Revolution. The uniqueness of the volume is going to cater the entrepreneurs and professionals in the domain of artificial intelligence, machine learning, deep learning etc. with its unique propositions in each of the chapters. The volume is surely going to be a significant source of knowledge and inspiration to those aspiring minds endeavouring to shape their futures in the area of applied research in machine learning and computer vision. The expertise and experiences of the contributing authors to this volume is encompassing different fields of proficiencies. This has set an excellent prelude to discover the correlation among multidisciplinary approaches of innovation. Covering a broad range of topics initiating from IoT based sustainable development to crowd sourcing concepts with a blend of applied machine learning approaches has made this volume a must read to inquisitive wits. Features Assorted approaches to interdisciplinary research using disruptive trends Focus on application of disruptive technology in technology management Focus on role of disruptive technology on sustainable development Promoting green IT with disruptive technologyThe book is meant to benefit several categories of students and researchers. At the students' level, this book can serve as a treatise/reference book for the special papers at the masters level aimed at inspiring possibly future researchers. Newly inducted PhD aspirants would also find the contents of this book useful as far as their compulsory course-works are concerned. At the researchers' level, those interested in interdisciplinary research would also be benefited from the book. After all, the enriched interdisciplinary contents of the book would always be a subject of interest to the faculties, existing research communities and new research aspirants from diverse disciplines of the concerned departments of premier institutes across the globe. This is expected to bring different research backgrounds (due to its cross platform characteristics) close to one another to form effective research groups all over the world. Above all, availability of the book should be ensured to as much universities and research institutes as possible through whatever graceful means it may be.Hope this volume will cater as a ready reference to your quest for diving deep into the ocean of technology management for 4th. Industrial Rev
R 3,603.81
Futuristic Trends for Sustainable Development and Sustainable Ecosystems
A key focus in recent years has been on sustainable development and promoting environmentally conscious practices. In today's rapidly evolving technological world, it is important to consider how technology can be applied to solve problems across disciplines and fields in these areas. Further study is needed in order to understand how technology can be applied to sustainability and the best practices, considerations, and challenges that follow. Futuristic Trends for Sustainable Development and Sustainable Ecosystems discusses recent advances and innovative research in the area of information and communication technology for sustainable development and covers practices in several artificial intelligence fields such as knowledge representation and reasoning, natural language processing, machine learning, and the semantic web. Covering topics such as blockchain, deep learning, and renewable energy, this reference work is ideal for computer scientists, industry professionals, researchers, academicians, scholars, instructors, and students.
R 7,931.38
Renewable Energy and AI for Sustainable Development
Electronic Devices usage has increased considerably in the last two decades. System configurations are continuously requiring upgradation with existing systems being obsolete in a matter of 2-3 years. Green Computing is the complete effective management of design, manufacture, use, and disposal involving as little environmental impact as possible. This book intends to explore new and innovative ways of conserving Energy, Effective e-waste management and Renewable Energy Sources to harness and nurture a sustainable eco-friendly environment.Salient features of the book are:Highlights Innovative Principles and Practices using effective e-waste management and disposal.Explore Artificial Intelligence based Sustainable models.Discover alternative sources and mechanisms for minimizing Environmental hazards.Highlights Successful Case Studies in Alternative sources of Energy,Presents solid Illustrations, Mathematical Equations as well as practical on-the-field applicationsServes as a one-stop reference guide to Stakeholders in the domain of Green Computing, e-Waste Management, Renewable Energy alternatives, Green Transformational Leadership comprising of theory concepts, practice and case studiesExplores Cutting-edge technologies like Internet of Energy, Artificial Intelligence especially Machine Learning and Deep Learning role in Renewable Energy and creating a Sustainable Ecosystem;Explores Futuristic Trends in Renewable Energy.This book aims at contributing to the increasing interest in reducing the environmental impact of energy as well as its further development and will act as a strong reference to Engineers, Architects, Technicians interested in and working with energy systems, scientists and engineers in the underdeveloped/developing countries, Industries, Manufacturers, Inventors, Universities, Researchers and Consultants to understand the foundation to advanced concepts and Research trends in the domain of Renewable Energy and Sustainable Computing.The content coverage of the Book organized in the form of 11 simple, lucid and exhaustive Chapters providing an exhaustive view of global renewable energy scenario and how Science and Technology can play a vital role in Renewable Energy.
R 7,280.51
Artificial Intelligence and Networks for a Sustainable Future
This book examines the revolutionary impact of artificial intelligence (AI) on communication and collaboration. In recent years, advances in large language models and deep learning have enabled seamless human communication across diverse languages and even with other species, such as dogs and humpback whales. AI is also unlocking the language of plants, including tomatoes and the 'wood wide web.' The book explores how technologies in natural language processing, image recognition, audio analysis, and network analysis facilitate unprecedented fuzzy data analysis. This progress is crucial for promoting sustainability and addressing climate change by uncovering patterns in complex environmental data that inform sustainable practices and policies. The book further focuses on studying interspecies communication, where AI technologies decode communication patterns between humans and other species, allowing a better understanding of the natural world. It highlights how plants can capture human emotions, enhancing well-being and productivity. Presenting empirical applications and case studies, the book analyzes societal, economic, and ecological implications, advancing theoretical insights, and introducing innovative methods. It will appeal to an interdisciplinary audience of scholars, students, and researchers in the social sciences, economics, business, sociology, psychology, environmental studies, and media and communication who are interested in a deeper understanding of how artificial intelligence and interspecies communication can contribute to building a sustainable future.
R 9,356.56
AI and Sustainable Transformations
AI and Sustainable Transformations presents cutting-edge research and insights into the role of Artificial Intelligence (AI) and emerging technologies in driving human-centered innovation and sustainable transformation across various industries.With an emphasis on aligning technological advancements with sustainable practices, this book explores applications of AI in manufacturing, healthcare and the food industry, it delves into critical themes such as Internet of Things-enabled smart manufacturing, blockchain for secure industrial ecosystems, emerging technologies for sustainable futures, intelligent healthcare systems, AI for sustainable and healthcare supply chains, and applications of AI in the food industry. Through in-depth case studies, technical analyses and alternative solutions, readers will gain a broad-based perspective on AI-driven human-centric development.This is an essential resource for academics, researchers, professionals and policy makers who wish to leverage innovative strategies for a better tomorrow.
R 9,442.64
Generative AI and Generative AI of Things for Sustainable Smart Cities
This pioneering book invites readers on a compelling journey into Generative Artificial Intelligence (AI) and its groundbreaking convergence with AI of Things (AIoT), introducing GAIoT as a transformative frontier in urban computing and intelligence. GAIoT signals a paradigm shift towards more intelligent, self-learning, self-evolving, and context-aware systems—capable of generating adaptive, forward-looking solutions to the complex infrastructuraland environmental challenges confronting sustainable smart cities.With its combination of theoretical depth, applied innovation, and interdisciplinary scope, the book offers a comprehensive examination of deep generative models—namely Generative Adversarial Networks, Variational Autoencoders, Diffusion Models, Transformers, and hybrid architectures—and their applications in environmental sustainability, climate resilience, infrastructure optimization, dynamic decision-making, and data-driven urban management and planning. From synthetic data generation, data augmentation, and data imputation to predictive modeling and scenario simulation, GAIoT is driving the next wave of climate-responsive, environmentally conscious smart city innovation.What sets this book apart is its first-of-its-kind focus on GAIoT as a pathbreaking force in shaping the future of sustainable urban development. It delivers actionable insights, conceptual and operational frameworks, case studies, and policy guidance—equipping diverse stakeholders with the tools to build cities that not only respond to change but also anticipate and shape it. Targeting a broad and cross-disciplinary audience, the book shares state-of-the-art research, presents innovative solutions, and forecasts future trends in urban transformation. As both a seminal reference and a practical resource for researchers, technologists, practitioners, professionals, and policymakers, it provides essential guidance for those engaged in advancing the next frontier in urban computing and intelligence.
R 11,182.64
Artificial Intelligence and Machine Learning
This book focuses on artificial intelligence (AI) and machine learning (ML) technologies and how they are progressively being incorporated into a wide range of products, including consumer gadgets, "smart" personal assistants, cutting-edge medical diagnostic systems, and quantum computing systems. This concise reference book offers a broad overview of the most important trends and discusses how these trends and technologies are being created and employed in the applications in which they are being used.Artificial Intelligence and Machine Learning: An Intelligent Perspective of Emerging Technologies offers a broad package involving the incubation of AI and ML with various emerging technologies such as Internet of Things (IoT), healthcare, smart cities, robotics, and more. The book discusses various data collection and data transformation techniques and also maps the legal and ethical issues of data-driven e-healthcare systems while covering possible ways to resolve them. The book explores different techniques on how AI can be used to create better virtual reality experiences and deals with the techniques and possible ways to merge the power of AI and IoT to create smart home appliances.With contributions from experts in the field, this reference book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering.
R 2,975.02
Generative AI-Driven Sustainable Smart City
The rapid rise of Generative AI is increasingly reshaping the field of urban computing, marking the next frontier of sustainable smart city research and practice. This book takes readers on an exploratory journey into the transformative potential of Deep Generative Models (DGMs), hybrid architectures, and Foundation Models (FMs) to redefine the future urban landscape. These technologies contribute to enhancing environmental sustainability, climate resilience, infrastructure performance, operational efficiency, spatial organization, and functional livability through forward-thinking approaches to urban planning, design, and management—often implemented via digital twins.DGMs enable synthetic data generation, data augmentation, data imputation, scenario simulation, and predictive modeling, providing richer insights into complex urban systems. Hybrid architectures integrate generative and conventional models to improve robustness, scalability, and flexibility across diverse urban tasks. FMs extend these capabilities by facilitating knowledge generalization across datasets, supporting reasoning, and enabling adaptive decision-making under uncertainty. Strengthened by integrative frameworks and cross-disciplinary insights, these technologies offer powerful tools for developing sophisticated urban solutions. They advance how urban ecosystems are environmentally and strategically planned, efficiently and adaptively managed, aesthetically and functionally designed, and spatially and contextually organized.Rich in conceptual frameworks, theoretical insights, operational models, applied innovations, practical case studies, and policy guidance, this book equips researchers, planners, designers, technologists, and policymakers to harness generative intelligence in shaping adaptive, context-aware, and continuously refined urban environments that are ecologically responsible, climate-resilient, and future-ready. Essential for anyone exploring the frontier of GenAI-driven urban development, it offers actionable insights to guide the next generation of sustainable smart cities.
R 10,257.00
Artificial Intelligence and Machine Learning for Real-World Applications
This book introduces foundational and advanced concepts in artificial intelligence (AI) and machine learning (ML), focusing on their real-world applications and societal implications. Covering topics from knowledge representation and model interpretability to deep learning and generative AI, Artificial Intelligence and Machine Learning for Real-World Applications: A Beginner's Guide with Case Studies includes practical Python implementations and case studies from healthcare, agriculture, and education. Beginning with core concepts such as AI fundamentals, knowledge representation, and statistical techniques, the text gradually advances to cover ML algorithms, deep learning architectures, and the basics of generative AI. Detailed discussions of data preprocessing, model training, evaluation metrics, and Python-based implementation make this book both practical and accessible.Offers real-world examples and case studies illustrating the societal impact and practical applications of AI and ML technologiesDiscusses data preprocessing techniques, model selection, and evaluation metrics with practical implementation in Python and in detailExplores AI problem-solving processes, knowledge representation, and model training strategies, catering to readers with varying levels of technical expertiseCovers AI and ML principles spanning statistical techniques, ML algorithms, deep learning structures, and generative AI basicsFocuses on societal applications in healthcare, agriculture, and education, addressing challenges faced by the elderly and special needs individualsThis book is for professionals, researchers, and scholars interested in the application of AI and ML.
R 4,459.58
AI and Machine Learning Techniques for Wildlife Conservation
As the world grapples with the alarming rate of biodiversity loss, the potential of cutting-edge technologies, namely machine learning (ML) and artificial intelligence (AI), revolutionize the way we approach wildlife conservation. From sophisticated sensor technologies to innovative AI algorithms, foundational tools driving this paradigm shift provide a comprehensive understanding of their applications in safeguarding biodiversity. The navigation of systems such as the Spatial Monitoring and Reporting Tool (SMART) and advanced animal detection systems can be used to delve into the intricacies of feature extraction and precise identification. This exploration of predictive modeling, data ethics, citizen science, and the integration of satellite data offers a holistic perspective on the dynamic intersection of technology and conservation. AI and Machine Learning Techniques for Wildlife Conservation illustrates the tangible impact of these technologies on addressing pressing conservation challenges and advocates for the engagement of citizen science initiatives with AI. It fosters a collaborative approach to wildlife conservation that leverages the power of technology for a sustainable future. Covering topics including Internet of Things (IoT), satellite data, and predictive ecosystem management, this book is an excellent resource for conservationists, computer scientists, researchers, professionals, academicians, scholars, and more.
R 7,199.77
AI Applications for Clean Energy and Sustainability
The global demand for clean energy solutions the urgency of addressing climate change continue to intensify, and as such, the need for innovative approaches becomes increasingly paramount. However, navigating the complex landscape of clean energy production and sustainability presents significant challenges. Traditional methods often fall short in efficiently optimizing renewable energy systems and mitigating environmental impacts. Moreover, the integration of artificial intelligence (AI) into the energy sector remains underexplored, despite its potential to revolutionize operations and drive sustainable development. AI Applications for Clean Energy and Sustainability emerges, working to tackle these pressing issues. This comprehensive volume delves into the transformative power of AI in revolutionizing clean energy production, distribution, and management. By harnessing machine learning algorithms, data analytics, and optimization techniques, the book offers innovative solutions to enhance the efficiency, reliability, and scalability of renewable energy systems. Through real-world case studies and practical examples, it illustrates AI's potential to optimize energy infrastructure, monitor marine ecosystems, and predict climate change impacts, thereby paving the way for a more sustainable future. Designed for researchers, policymakers, industry professionals, and students alike, this book serves as a roadmap towards a greener and more resilient world. By providing insights into cutting-edge AI technologies and their applications in the energy sector, the book empowers stakeholders to address the challenges of climate change and advance sustainability goals. With its interdisciplinary approach and emphasis on practical solutions, this book inspires collaboration and innovation, driving meaningful progress towards a cleaner and more sustainable energy future.
R 15,234.03
Artificial Intelligence and Sustainable Innovation
This book explores how convergence of Agentic AI, quantum technologies and regenerative innovations are shaping modern management.As digital change accelerates, climate issues intensify and the workforce evolves, the book offers a multidisciplinary perspective on the impact of intelligent technologies on leadership, strategy and the socio-technical ecosystem. Its scope on quantum-enhanced decision making, sustainable enterprise development, Industry 5.0, human-AI collaboration and ethical governance cover various applications in climate-resilient agriculture and finance, sustainable supply chains and digital public services, and immersive learning. Placing itself at the crossroads of technology, sustainability and human potential, this book offers a roadmap to the future of management. It suggests that the future of management is not in the technology itself but in the integration of quantum intelligence, regenerative innovations and human-centred design to build adaptive and purposeful organisations.This book is designed for an interdisciplinary readership at the nexus of management, technology and sustainability. It will be a valuable resource to academics, researchers and postgraduate students from disciplines including but not limited to management science, information systems, environmental studies and advanced technologies that will be interested both in a theoretical perspective and practical examples for their academic and teaching purposes. Furthermore, practitioners and innovation managers dealing with the interplay between agentic AI, quantum technologies and regenerative innovation will also benefit from this book.
R 2,564.00
Developing Smart Sustainability With Artificial Intelligence
Smart sustainability offers hope for addressing global environmental and societal challenges in a world rapidly transformed by technological breakthroughs. With cities growing rapidly and natural resources under strain, developing innovative ideas has become crucial. Artificial intelligence (AI) is playing an increasingly significant role by analyzing vast amounts of data to predict outcomes and optimize processes. Cities, in particular, stand to benefit from AI-driven advances in sustainable urban planning. From smart grids that optimize energy distribution to AI-powered waste management systems that improve recycling, AI offers a wide range of sustainability applications. Developing Smart Sustainability With Artificial Intelligence discusses how AI can be pushed into the service of smart sustainability. It focuses on where AI intersects with renewable energy, waste management, water conservation, and sustainable agriculture. Additionally, the book deals with ethical and socio-economic aspects of applying AI to sustainability. Covering topics such as clean energy, environmental protection, and urban sustainability, this book is an excellent resource for academicians, researchers, industry experts, educators, graduate and postgraduate students, and more.
R 7,551.66
Generative AI-Driven Sustainable Smart City
The rapid rise of Generative AI is increasingly reshaping the field of urban computing, marking the next frontier of sustainable smart city research and practice. This book takes readers on an exploratory journey into the transformative potential of Deep Generative Models (DGMs), hybrid architectures, and Foundation Models (FMs) to redefine the future urban landscape. These technologies contribute to enhancing environmental sustainability, climate resilience, infrastructure performance, operational efficiency, spatial organization, and functional livability through forward-thinking approaches to urban planning, design, and management—often implemented via digital twins.DGMs enable synthetic data generation, data augmentation, data imputation, scenario simulation, and predictive modeling, providing richer insights into complex urban systems. Hybrid architectures integrate generative and conventional models to improve robustness, scalability, and flexibility across diverse urban tasks. FMs extend these capabilities by facilitating knowledge generalization across datasets, supporting reasoning, and enabling adaptive decision-making under uncertainty. Strengthened by integrative frameworks and cross-disciplinary insights, these technologies offer powerful tools for developing sophisticated urban solutions. They advance how urban ecosystems are environmentally and strategically planned, efficiently and adaptively managed, aesthetically and functionally designed, and spatially and contextually organized.Rich in conceptual frameworks, theoretical insights, operational models, applied innovations, practical case studies, and policy guidance, this book equips researchers, planners, designers, technologists, and policymakers to harness generative intelligence in shaping adaptive, context-aware, and continuously refined urban environments that are ecologically responsible, climate-resilient, and future-ready. Essential for anyone exploring the frontier of GenAI-driven urban development, it offers actionable insights to guide the next generation of sustainable smart cities.
R 3,663.00
Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence
Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world. This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action.
R 4,855.00
Artificial Intelligence and Machine Learning
This book focuses on artificial intelligence (AI) and machine learning (ML) technologies and how they are progressively being incorporated into a wide range of products, including consumer gadgets, "smart" personal assistants, cutting-edge medical diagnostic systems, and quantum computing systems. This concise reference book offers a broad overview of the most important trends and discusses how these trends and technologies are being created and employed in the applications in which they are being used.Artificial Intelligence and Machine Learning: An Intelligent Perspective of Emerging Technologies offers a broad package involving the incubation of AI and ML with various emerging technologies such as Internet of Things (IoT), healthcare, smart cities, robotics, and more. The book discusses various data collection and data transformation techniques and also maps the legal and ethical issues of data-driven e-healthcare systems while covering possible ways to resolve them. The book explores different techniques on how AI can be used to create better virtual reality experiences and deals with the techniques and possible ways to merge the power of AI and IoT to create smart home appliances.With contributions from experts in the field, this reference book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering.
R 6,648.72
