Search results for "Quantum Computing for Healthcare Data"
Items we need to order for you
Quantum Computing for Healthcare Data
Quantum Computing for Healthcare Data: Revolutionizing the Future of Medicine presents an advanced overview of the fundamentals of quantum computing, from the transition of traditional to quantum computing, to the challenges and opportunities encountered as various industries enter into the paradigm shift. The book investigates how quantum AI, quantum data processing, and quantum data analysis can best be integrated into healthcare data systems. The book also introduces a range of case studies which feature applications of quantum computing in connected medical devices, medical simulations, robotics, medical diagnosis, and drug discovery. The book will be a valuable resource for researchers, graduate students, and professional programmers and computer engineers working in the areas of healthcare data management and analytics, blockchain, IoT, and big data analytics.
R 5,297.00
Exploring Intelligent Healthcare with Quantum Computing
This edited book explores the field of quantum computing and machine learning for medical data processing. Topics such as security, transparency, data integrity, big data and applications in drug discovery, precision in diagnostics and precision medicine, are explored.
R 4,417.00
Quantum Algorithms for Enhancing Cybersecurity in Computational Intelligence in Healthcare
This book explores the exciting field of quantum computing, which is changing how we approach computation. It covers the basics, cybersecurity aspects, advanced machine learning techniques, and the many ways quantum computing can be used. Quantum computing is much more powerful than traditional computing. The book starts by explaining the core concepts like qubits, quantum gates, superposition, entanglement, quantum memory, and quantum parallelism. One important area is how quantum computing can improve machine learning for cybersecurity. It can handle huge amounts of data and find complex patterns faster than regular computers. This is especially useful for finding cyber threats in real time, such as spotting unusual activity in healthcare networks that might mean a security breach. Quantum machine learning can help healthcare organizations better defend against advanced cyberattacks that try to steal patient data. The book also looks at how quantum computing is changing cybersecurity itself.It discusses quantum cryptography, post-quantum cryptography, and secure communication, explaining how quantum computing is leading to new ways of encrypting data, detecting threats, and protecting information. Beyond cybersecurity, the book shows how quantum computing impacts many other fields, such as medicine, finance, materials science, and logistics. It is poised to revolutionize artificial intelligence (AI) in healthcare and many other sectors. Because quantum computing is constantly developing, with discoveries and new applications happening all the time, this book brings together researchers from universities and industries to share their latest findings. It aims to help shape the future of this technology. The book offers a solid foundation, detailed explanations of advanced techniques, and a fascinating look at how quantum computing is being used in the real world. As quantum computing becomes easier to access through new tools and cloud platforms, this book hopes to inspire new research in AI and spark innovative applications that were previously thought impossible.
R 6,720.83
Quantum Computing
Quantum computing and algorithms are set to revolutionize information processing. Covering such topics, Quantum Computing: The Future of Information Processing explains its principles, practical applications, and future implications in a clear and accessible manner. The book strives to simplify the essential concepts and practical applications of quantum computing. Its aim is to help students and researchers to apply quantum computing to advance AI and machine learning, cybersecurity, and blockchain. With its emphasis on practical applications, the book covers how quantum computing is changing such fields as:FinanceMedicineBuilt environmentNetworking and communicationsWith extensive real-world case studies and practical implementation guidance, the book is a guide for those seeking to understand how quantum computing is applied in various industries. Its in-depth exploration of quantum computing covers both foundational principles and advanced applications in a single resource, saving readers the need to purchase multiple books. Finally, the book focuses on the future of information processing so that students and researchers can anticipate and prepare for the transformative impact of quantum computing.
R 13,951.56
Quantum Computing
Quantum computing and algorithms are set to revolutionize information processing. Covering such topics, Quantum Computing: The Future of Information Processing explains its principles, practical applications, and future implications in a clear and accessible manner. The book strives to simplify the essential concepts and practical applications of quantum computing. Its aim is to help students and researchers to apply quantum computing to advance AI and machine learning, cybersecurity, and blockchain. With its emphasis on practical applications, the book covers how quantum computing is changing such fields as:FinanceMedicineBuilt environmentNetworking and communicationsWith extensive real-world case studies and practical implementation guidance, the book is a guide for those seeking to understand how quantum computing is applied in various industries. Its in-depth exploration of quantum computing covers both foundational principles and advanced applications in a single resource, saving readers the need to purchase multiple books. Finally, the book focuses on the future of information processing so that students and researchers can anticipate and prepare for the transformative impact of quantum computing.
R 4,888.07
Quantum Computing
Quantum computing is a rapidly emerging technology that harnesses the laws of quantum mechanics to solve problems too complex for classical computers. It is a multidisciplinary field comprising aspects of computer science, physics, and mathematics that utilizes quantum mechanics to solve complex problems faster than classical computers. It is a computational technology that uses the principles of quantum mechanics such as entanglement, superposition, and interference to process, store, and manipulate large amounts of data and perform complex calculations for conventional computing systems and supercomputers to fathom.Quantum Computing: Research, Applications, and Advances provides a comprehensive overview of the foundational principles of quantum mechanics that underpin quantum computing. It explains such concepts as superposition, entanglement, and quantum gates to demystify the esoteric nature of quantum phenomena. It delves into the current state of quantum computing research, presenting an insightful analysis of the latest breakthroughs and technological advancements. From the race to achieve quantum supremacy to the development of scalable quantum hardware, the book offers a detailed exploration of the key players, their methodologies, and the challenges they face in pushing the boundaries of quantum computing capabilities. It explores the practical applications of quantum computing across various domains. From cryptography to optimization problems and drug discovery, the book also illustrates how quantum algorithms have the potential to outperform classical counterparts to open doors to new possibilities where traditional computing falls short. The book integrates theoretical concepts and practical applications. The highlights include the following:Quantum computing in machine learningHarnessing quantum computing for predictive analysisQuantum-powered financial fraud detectionEnhancing deep learning with quantum computingQuantum computing in medical imaging
R 6,118.00
Quantum Technology Applications, Impact, and Future Challenges
This book presents a comprehensive exploration of quantum computing, exploring its wide-ranging applications across industries, elucidating its transformative impact on diverse sectors, and addressing the forthcoming challenges and future directions within this rapidly evolving field.Quantum Technology Applications, Impact, and Future Challenges explores the current state of quantum hardware and software, providing readers with a clear understanding of the challenges and opportunities posed by this technology. It also examines how quantum computing is being used today in industries such as energy, finance, healthcare, and logistics, offering real-world examples of the potential impact of this technology. Readers will gain an understanding of quantum computing’s potential applications and its profound implications for businesses, individuals, and society at large. Through a blend of theoretical insights, practical examples, and thought-provoking discussions, this book equips readers with the knowledge and vision to navigate quantum technology with confidence. Authored and edited by leading academics and industry experts in the field, the book offers authoritative insights and perspectives, ensuring readers receive credible and up-to-date information on quantum computing advancements and applications.This book navigates readers through the intricate landscape of quantum computing and communications, offering valuable perspectives for scholars, researchers, and practitioners alike.
R 4,445.05
Real-World Applications of Quantum Computers and Machine Intelligence
The emergence of quantum computing promises a monumental shift in technological capabilities, poised to revolutionize various fields where traditional computing methods may fall short. Quantum computing's potential spans a wide spectrum of applications, from enhancing cryptography to revolutionizing climate modeling and drug discovery. Major corporations are integrating quantum computing into artificial intelligence research, marking a pivotal shift from traditional computing methods. Real-World Applications of Quantum Computers and Machine Intelligence explores practical examples in quantum computing and machine learning for various industry revolutions. By contrasting quantum computing with conventional data mining systems, this book offers insights into the transformative potential of quantum computing, enabling the development of new techniques for real-time problem-solving and innovation. This book covers topics such as deep neural networks, environmental technologies, and machine learning, and is a useful resource for computer engineers, industry professionals, researchers, academicians, scientists, business owners, and healthcare workers.
R 9,304.31
AI and Quantum Network Applications in Business and Medicine
Utilizing artificial intelligence (AI) and quantum network applications may revolutionize both business and medicine, offering opportunities for innovation and efficiency. In business, AI tools in data analytics and quantum computing applications help enhance decision-making, optimize supply chains, and unlock avenues for growth through predictive modeling. In medicine, intelligent technologies provide more precise detection and diagnosis, personalize treatment, and improve drug discovery capabilities. Further integration of both tools into business and medicine is necessary to improve outcomes for various sectors and create new approaches to innovation. AI and Quantum Network Applications in Business and Medicine explores the application of artificial intelligence and quantum computing in business and medical industries. Solutions for disease diagnosis, resource allocation, and effective data analysis are presented using tools like machine learning, quantum networking, and intelligent technology. This book covers topics such as medical diagnosis, deep learning, and trauma responses, and is a useful resource for medical professionals, doctors, scientists, computer engineers, business owners, academicians, and researchers.
R 10,091.43
Quantum Computing
Quantum Computing: Principles and Paradigms covers a broad range of topics, providing a state-of-the-art and comprehensive reference for the rapid progress in the field of quantum computing and related technologies from major international companies (such as IBM, Google, Intel, Rigetti, Q-Control) and academic researchers. This book appeals to a broad readership, as it covers comprehensive topics in the field of quantum computing, including hardware, software, algorithms, and applications, with chapters written by both academic researchers and industry developers.This book presents readers with the fundamental concepts of quantum computing research, along with the challenges involved in developing practical devices and applications.
R 5,297.00
Quantum Computing
QUANTUM COMPUTING A helpful introduction to all aspects of quantum computing Quantum computing is a field combining quantum mechanics—the physical science of nature at the scale of atoms and subatomic particles—and information science. Where ordinary computing uses bits, logical values whose position can either be 0 or 1, quantum computing is built around qubits, a fundamental unit of quantum information which can exist in a superposition of both states. As quantum computers are able to complete certain kinds of functions more accurately and efficiently than computers built on classical binary logic, quantum computing is an emerging frontier which promises to revolutionize information science and its applications. This book provides a concise, accessible introduction to quantum computing. It begins by introducing the essentials of quantum mechanics that information and computer scientists require, before moving to detailed discussions of quantum computing in theory and practice. As quantum computing becomes an ever-greater part of the global information technology landscape, the knowledge in Quantum Computing will position readers to join a vital and highly marketable field of research and development. The book’s readers will also find: Detailed diagrams and illustrations throughoutA broadly applicable quantum algorithm that improves on the best-known classical algorithms for a wide range of problemsIn-depth discussion of essential topics including key distribution, cluster state quantum computing, superconducting qubits, and more Quantum Computing is perfect for advanced undergraduate and graduate students in computer science, engineering, mathematics, or the physical sciences, as well as for researchers and academics at the intersection of these fields who want a concise reference.
R 4,396.00
Quantum Computing
You've heard that quantum computing is going to change the world. Now you can check it out for yourself. Learn how quantum computing works, and write programs that run on the IBM Q quantum computer, one of the world's first functioning quantum computers. Learn a simple way to apply quantum mechanics to computer programming. Create algorithms to solve intractable problems for classical computers, and discover how to explore the entire problem space at once to determine the optimal solution. Get your hands on the future of computing today. Quantum computing overhauls computer science. Problems such as designing life-saving drugs and super-large logistics problems that have been difficult or impossible for classical computers to handle can now be solved in moments. Quantum computing makes it possible to explore all possible solutions simultaneously and determine those that work, instead of iterating through each possibility sequentially. Work with quantum computers directly, instead of talking about them theoretically. Work with qubits, the fundamental elements of quantum computing. Discover what makes them different from classical bits. Model complex problems with logic gates specific to quantum computing. Learn how quantum mechanics offers ways to write programs that explore all solutions simultaneously. Create quantum circuits to solve problems that classical computers struggle with. Dive into quantum optimization and cryptography. Use the IBM Q quantum computer to both simulate quantum effects, and actually run your programs on a real quantum machine. Get a head start on the technology that will drive computer science into the future. What You Need: Access to the IBM quantum computer, via any internet connection
R 1,590.00
Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data
Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data discusses the insight of data processing applications in various domains through soft computing techniques and enormous advancements in the field. The book focuses on the cross-disciplinary mechanisms and ground-breaking research ideas on novel techniques and data processing approaches in handling structured and unstructured healthcare data. It also gives insight into various information-processing models and many memories associated with it while processing the information for forecasting future trends and decision making. This book is an excellent resource for researchers and professionals who work in the Healthcare Industry, Data Science, and Machine learning.
R 3,825.00
R 305.00
Ai & Quantum Computing For Finance & Insurance: Fortunes And Challenges For China And America
This book offers a framework and analysis for the current technological landscape between the United States and China across the financial and insurance sectors as well as emerging technologies such as AI, Blockchain, Cloud and Data Analytics and Quantum Computing (ABCDQ). Based on original lecture slides used by the authors, the book presents contemporary and critical views of emergent technologies for a wide spectrum of readers from CEOs to university lecturers to students. The narrative aims to help readers upgrade their technology literacy and to overcome the fear of AI posed by our lizard brain.
R 1,664.74
Quantum Computing For The Brain
Quantum Computing for the Brain argues that the brain is the killer application for quantum computing. No other system is as complex, as multidimensional in time and space, as dynamic, as less well-understood, as of peak interest, and as in need of three-dimensional modeling as it functions in real-life, as the brain.Quantum computing has emerged as a platform suited to contemporary data processing needs, surpassing classical computing and supercomputing. This book shows how quantum computing's increased capacity to model classical data with quantum states and the ability to run more complex permutations of problems can be employed in neuroscience applications such as neural signaling and synaptic integration. State-of-the-art methods are discussed such as quantum machine learning, tensor networks, Born machines, quantum kernel learning, wavelet transforms, Rydberg atom arrays, ion traps, boson sampling, graph-theoretic models, quantum optical machine learning, neuromorphic architectures, spiking neural networks, quantum teleportation, and quantum walks.Quantum Computing for the Brain is a comprehensive one-stop resource for an improved understanding of the converging research frontiers of foundational physics, information theory, and neuroscience in the context of quantum computing.
R 5,422.00
R 1,161.00
Integration of AI, Quantum Computing, and Semiconductor Technology
The integration of artificial intelligence (AI), quantum computing, and semiconductor technology offers improved innovation to redefine computational power and capabilities. As AI drives advances in machine learning and data processing, quantum computing revolutionizes problem-solving with its ability to handle complex calculations at improved speeds. Advancements in semiconductor technology push the limits of processing efficiency and miniaturization. Continued exploration on this convergence may accelerate breakthroughs in various fields such as cryptography, material science, and healthcare. Integration of AI, Quantum Computing, and Semiconductor Technology explores the intersection of artificial intelligence (AI) and semiconductor technology within the context of quantum computing. It offers a comprehensive analysis of the current advancements, challenges, and potential applications resulting from this convergence. This book covers topics such as cyber security, healthcare monitoring, and machine learning, and is a useful resource for computer engineers, energy scientists, business owners, healthcare administrators, environmental scientists, academicians, and researchers.
R 9,509.19
AI and Data Engineering for Healthcare
This book examines the transformative role of artificial intelligence (AI) and data engineering in revolutionizing the healthcare landscape. It presents cutting-edge developments ranging from predictive algorithms for disease diagnosis to large-scale data systems that enhance patient outcomes. By emphasizing the synergy between AI and data engineering, the book showcases practical applications in medical imaging, clinical diagnostics, and personalized treatment strategies.It also thoughtfully examines ethical considerations, data privacy, and healthcare equity, particularly in underserved and rural populations.Key Features:Explores state-of-the-art technologies in healthcare, including image segmentation, feature extraction, feature selection, and classification.Provides real-world case studies, practical examples, and hands-on exercises for effective implementation of AI-driven solutions.Bridges disciplines across computer science, data engineering, and biomedical sciences to foster cross-domain collaboration.Highlights innovative research methodologies and their applications in AI-powered healthcare systems.Discusses the role of AI in improving healthcare access, delivery, and outcomes across diverse populations.This book is ideal for professionals, researchers, and policymakers seeking to understand and shape the future of healthcare through the lens of AI and data-driven innovation.
R 9,339.65
Quantum Computing
This book explores the exciting world of quantum computing, from its theoretical foundations to its practical applications, offering both non-technical and expert readers a comprehensive and accessible introduction to this cutting-edge technology that has the potential to revolutionize the way we process and transmit information.Quantum Computing: A Journey into the Next Frontier of Information and Communication Security provides a comprehensive guide to the exciting and rapidly-evolving field of quantum computing and communication security. The book starts by introducing the theoretical foundations of quantum mechanics and quantum computing, providing readers with a solid understanding of the principles behind this revolutionary technology. The book emphasizes the practical applications of quantum computing and its adoption strategies in response to the urgency of quantum readiness. While many books on the subject focus solely on the theory, this book explores the risks and opportunities of quantum computing, and how to prepare and adopt this technology. From there, the book explores various quantum concepts and their security applications, covering topics such as quantum-safe cryptography, standards, implications on artificial intelligence, and optimization.The book is written for students, researchers, technology leaders, and professionals who work in the field of cybersecurity, communications, digital transformation, data analytics, and information systems. The book is suitable for researchers with various technical knowledge.
R 9,937.91
Thinking Healthcare System
The Thinking Healthcare System: Artificial Intelligence and Human Equity is the first comprehensive book detailing the historical, global, and technical trends shaping the evolution of the modern healthcare system into its final form—an AI-driven thinking healthcare system, structured and functioning as a global digital health ecosystem. Written by the world’s first triple doctorate trained physician-data scientist and ethicist, and author of three AI textbooks and over 350 scientific and ethics papers, this indispensable resource makes sense of how technology, economics, and ethics are already producing the future’s health system—and how to ensure it works for every patient, community, and culture in our globalized, digitalized, and divided world. Providing clear descriptions and concrete examples, this book brings together AI-accelerated digital health ecosystems, data architecture, cloud and edge computing, precision medicine, public health, telemedicine, patient safety, health political economics, multicultural global ethics, blockchain, and quantum health computing, among other topics. Healthcare and business executives, clinicians, researchers, government leaders, policymakers, and students in the fields of healthcare management, data science, medicine, public health, informatics, health and public policy, political economics, and bioethics will find this book to be a groundbreaking resource on how to create, nourish, and lead AI-driven health systems for the future that can think, adapt, and so care in a manner worthy of the world’s patients.
R 4,414.00
Quantum Computing
The discovery of physical systems that exhibit what we now call quantum mechanical behaviour was unquestionably one of the most astonishing events in the history of science. No less remarkable was the realisation that quantum mechanics presents a much more powerful paradigm for computation and information processing than its classical counterpart. This textbook explores the incredible, but somewhat subtle, power of quantum computation, starting with a thorough in-depth exposition of quantum physics. Quantum mechanical behaviour is formalised by the postulates of quantum mechanics, which give rise to some startling results, such as the Bell inequalities. From the postulates of quantum mechanics, the quantum circuit model can also be derived, which enables a visual intuition for quantum computation to be acquired without any loss of rigour in the accompanying analysis. Getting to the principal subject-matter of the book, the question of quantum advantage is tackled head-on, with the theoretical evidence that quantum computation does indeed offer a more powerful computation paradigm, paired with cautionary results that certain classes of circuits can be proven to enjoy no such quantum advantage. The book then presents a canon of the most important quantum algorithms and communication protocols that have been discovered in the relatively brief history of this exciting, emerging field. Starting with historically important query algorithms, 'classic' results such as Grover's and Shor's algorithm are then covered, followed by more recent breakthroughs including the quantum algorithm for solving linear systems (HHL) and the quantum singular value transformation.The final chapter of the book addresses the subject of quantum error correction, building up to the celebrated 'threshold theorem', which implies that the theoretical promises of quantum computation can one day be realised on actual quantum computers.
R 1,765.04
Quantum Computing
The discovery of physical systems that exhibit what we now call quantum mechanical behaviour was unquestionably one of the most astonishing events in the history of science. No less remarkable was the realisation that quantum mechanics presents a much more powerful paradigm for computation and information processing than its classical counterpart. This textbook explores the incredible, but somewhat subtle, power of quantum computation, starting with a thorough in-depth exposition of quantum physics. Quantum mechanical behaviour is formalised by the postulates of quantum mechanics, which give rise to some startling results, such as the Bell inequalities. From the postulates of quantum mechanics, the quantum circuit model can also be derived, which enables a visual intuition for quantum computation to be acquired without any loss of rigour in the accompanying analysis. Getting to the principal subject-matter of the book, the question of quantum advantage is tackled head-on, with the theoretical evidence that quantum computation does indeed offer a more powerful computation paradigm, paired with cautionary results that certain classes of circuits can be proven to enjoy no such quantum advantage. The book then presents a canon of the most important quantum algorithms and communication protocols that have been discovered in the relatively brief history of this exciting, emerging field. Starting with historically important query algorithms, 'classic' results such as Grover's and Shor's algorithm are then covered, followed by more recent breakthroughs including the quantum algorithm for solving linear systems (HHL) and the quantum singular value transformation.The final chapter of the book addresses the subject of quantum error correction, building up to the celebrated 'threshold theorem', which implies that the theoretical promises of quantum computation can one day be realised on actual quantum computers.
R 5,299.99
Industrial Quantum Computing
"Industrial quantum computing" (IQC) covers the applications of quantum computing innovations in general industry and industry 4.0. This book presents the application of quantum computations to the financial sector, medical services, the logistics industry, and the manufacturing industry.
R 6,651.00
Quantum Computing, Cyber Security and Cryptography
This book examines the fundamentals of quantum computing and its applications in codebreaking and hacking, as well as strategies and technologies for defending systems against quantum attacks. It brings together leading experts from across academia and industry to provide a comprehensive overview of the impacts of quantum computing on cybersecurity and cryptography. As quantum computers become more powerful and practical in the coming years, they pose a serious threat to current encryption and cybersecurity methods which rely on computational difficulty. The book provides readers with a holistic understanding of the quantum computing landscape and its implications on information security. The chapters cover the foundational concepts of quantum mechanics and key quantum algorithms relevant to cryptography and cybersecurity. Detailed discussions on quantum cryptanalysis, post-quantum cryptography, quantum key distribution, and quantum random number generation equip readers with technical knowledge of quantum-safe cryptosystems. Practical topics such as quantum programming, software tools, and implementation of quantum-resistant solutions in different sectors like finance, healthcare, and the Internet of Things provide actionable insights for organizations. The book concludes with an analysis of collaborative strategies, policies and future research directions to foster innovation in quantum-safe cybersecurity. Overall, this book serves as an essential reference for security professionals, researchers, students, and technology leaders interested in preparing systems and data for the quantum computing era.
R 7,313.00
R 702.00
Reconnoitering the Landscape of Edge Intelligence in Healthcare
The revolution in healthcare as well as demand for efficient real-time healthcare services are driving the progression of edge computing, AI-mediated techniques, deep learning, and IoT applications for healthcare industries and cloud computing. Edge computing helps to meet the demand for newer and more sophisticated healthcare systems that are more personalized and that match the speed of modern life. With applications of edge computing, automated intelligence and intuitions are incorporated into existing healthcare analysis tools for identifying, forecasting, and preventing high-risk diseases.Reconnoitering the Landscape of Edge Intelligence in Healthcare provides comprehensive research on edge intelligence technology with the emphasis on application in the healthcare industry. It covers all the various areas of edge intelligence for data analysis in healthcare, looking at the emerging technologies such as AI-based techniques, machine learning, IoT, cloud computing, and deep learning with illustrations of the design, implementation, and management of smart and intelligent healthcare systems.Chapters showcase the advantages and highlights of the adoption of the intelligent edge models toward smart healthcare infrastructure. The book also addresses the increased need for a high level of medical data security while transferring real-time data to cloud-based architecture, a matter of prime concern for both patient and doctor. Topics include edge intelligence for wearable sensor technologies and their applications for health monitoring, the various edge computing techniques for disease prediction, e-health services and e-security solutions through IoT devices that aim to improve the quality of care for transgender patients, smart technology in ambient assisted living, the role of edge intelligence in limiting virus spread during pandemics, neuroscience in decoding and analysis of visual perception from the neural patterns and visual image reconstruction, and more.The technology addressed include energy aware cross-layer routing protocol (ECRP), OMKELM-IDS technique, graphical user interface (GUI), IOST (an ultra-fast, decentralized blockchain platform), etc.This volume will be helpful to engineering students, research scholars, and manufacturing industry professionals in the fields of engineering applications initiatives on AI, machine learning, and deep learning techniques for edge computing.
R 7,406.82
Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services
This volume demonstrates the diverse state-of-the-art applications that combine artificial intelligence with soft computing, which has great potential for creating smart personalized healthcare services. The book showcases the myriad uses of AI and computer techniques in healthcare that employ deep learning, robotics, machine learning, blockchain, emerging cloud, edge computing, Practical Byzantine Fault Tolerance consensus, CNN architecture, Splunk, genetic algorithms (GA), DurBhashan, and many more. These technologies can be used in healthcare for enhanced data sharing, remote health monitoring, tele-rehabilitation, connecting rural populations with healthcare services, identifying diseases and health issues, automated medical diagnosis, analyzing information in surgical videos, ensuring timely communication and transportation during health disasters and emergencies, for optimizing expenditures, and more.
R 9,157.00
Quantum Computing
This book explores the exciting world of quantum computing, from its theoretical foundations to its practical applications, offering both non-technical and expert readers a comprehensive and accessible introduction to this cutting-edge technology that has the potential to revolutionize the way we process and transmit information.Quantum Computing: A Journey into the Next Frontier of Information and Communication Security provides a comprehensive guide to the exciting and rapidly-evolving field of quantum computing and communication security. The book starts by introducing the theoretical foundations of quantum mechanics and quantum computing, providing readers with a solid understanding of the principles behind this revolutionary technology. The book emphasizes the practical applications of quantum computing and its adoption strategies in response to the urgency of quantum readiness. While many books on the subject focus solely on the theory, this book explores the risks and opportunities of quantum computing, and how to prepare and adopt this technology. From there, the book explores various quantum concepts and their security applications, covering topics such as quantum-safe cryptography, standards, implications on artificial intelligence, and optimization.The book is written for students, researchers, technology leaders, and professionals who work in the field of cybersecurity, communications, digital transformation, data analytics, and information systems. The book is suitable for researchers with various technical knowledge.
R 4,051.55
R 940.22
Quantum Image Processing in Practice
Comprehensive resource addressing the need for a quantum image processing machine learning model that can outperform classical neural networks Quantum Image Processing in Practice explores the transformative potential of quantum color image processing across various domains, including biomedicine, entertainment, economics, and industry. The rapid growth of image data, especially in facial recognition and autonomous vehicles, demands more efficient processing techniques. Quantum computing promises to accelerate digital image processing (DIP) to meet this demand. This book covers the role of quantum image processing (QIP) in quantum information processing, including mathematical foundations, quantum operations, image processing using quantum filters, quantum image representation, and quantum neural networks. It aims to inspire practical applications and foster innovation in this promising field. Topics include: Qubits and Quantum Logic Gates: Introduces qubits, the fundamental data unit in quantum computing, and their manipulation using quantum logic gates like Pauli matrices, rotations, the CNOT gate, and Hadamard matrices. The concept of entanglement, where qubits become interconnected, is also explored, highlighting its importance for applications like quantum teleportation and cryptography.Two and Multiple Qubit Systems: Demonstrates the importance of using two qubits to process color images, enabling image enhancement, noise reduction, edge detection, and feature extraction. Covers the tensor product, Kronecker sum, SWAP gate, and local and controlled gates. Extends to multi-qubit superpositions, exploring local and control gates for three qubits, such as the Toffoli and Fredkin gates, and describes the measurement of superpositions using projection operators.Transforms and Quantum Image Representations: Covers the Hadamard, Fourier, and Heap transforms and their circuits in quantum computation, highlighting their applications in signal and image processing. Introduces the quantum signal-induced heap transform for image enhancement, classification, compression, and filtration. Explores quantum representations and operations for images using the RGB, XYZ, CMY, HSI, and HSV color models, providing numerous examples.Fourier Transform Qubit Representation: Introduces a new model of quantum image representation, the Fourier transform qubit representation. Describes the algorithm and circuit for calculating the 2-D quantum Fourier transform, enabling advancements in quantum imaging techniques.New Operations and Hypercomplex Algebra: Presents new operations on qubits and quantum representations, including multiplication, division, and inverse operations. Explores hypercomplex algebra, specifically quaternion algebra, for its potential in color image processing.Quantum Neural Networks (QNNs): Discusses QNNs and their circuit implementation as advancements in machine learning driven by quantum mechanics. Summarizes various applications of QNNs and cur
R 4,885.00
Quantum Technology Applications, Impact, and Future Challenges
This book presents a comprehensive exploration of quantum computing, exploring its wide-ranging applications across industries, elucidating its transformative impact on diverse sectors, and addressing the forthcoming challenges and future directions within this rapidly evolving field.Quantum Technology Applications, Impact, and Future Challenges explores the current state of quantum hardware and software, providing readers with a clear understanding of the challenges and opportunities posed by this technology. It also examines how quantum computing is being used today in industries such as energy, finance, healthcare, and logistics, offering real-world examples of the potential impact of this technology. Readers will gain an understanding of quantum computing’s potential applications and its profound implications for businesses, individuals, and society at large. Through a blend of theoretical insights, practical examples, and thought-provoking discussions, this book equips readers with the knowledge and vision to navigate quantum technology with confidence. Authored and edited by leading academics and industry experts in the field, the book offers authoritative insights and perspectives, ensuring readers receive credible and up-to-date information on quantum computing advancements and applications.This book navigates readers through the intricate landscape of quantum computing and communications, offering valuable perspectives for scholars, researchers, and practitioners alike.
R 5,629.51
Multidisciplinary Applications of AI and Quantum Networking
The multidisciplinary applications of artificial intelligence (AI) and quantum networking drive transformations across various fields, providing new technology, scientific discoveries, and industry improvements. AI's capability to analyze and interpret data along with quantum networking's secure communication, enables breakthroughs in sectors such as healthcare, finance, and logistics. Continued research into this integration may offer opportunities for innovative models and simulations, improved decision-making, and the development of interdisciplinary collaboration. Multidisciplinary Applications of AI and Quantum Networking explores the application of artificial intelligence and quantum computing across multiple industries, disciplines, and sectors. A variety of intelligent tools and technologies like machine learning, networks, augmented and virtual technology, and artificial intelligence are examined for their usefulness in business, medicine, engineering, marketing, and infrastructure. This book covers topics such as quantum computing, intrusion detection, and web technologies, and is a useful resource for computer engineers, business owners, security professionals, researchers, scientists, and academicians.
R 12,373.93
5G IoT and Edge Computing for Smart Healthcare
5G IoT and Edge Computing for Smart Healthcare addresses the importance of a 5G IoT and Edge-Cognitive-Computing-based system for the successful implementation and realization of a smart-healthcare system. The book provides insights on 5G technologies, along with intelligent processing algorithms/processors that have been adopted for processing the medical data that would assist in addressing the challenges in computer-aided diagnosis and clinical risk analysis on a real-time basis. Each chapter is self-sufficient, solving real-time problems through novel approaches that help the audience acquire the right knowledge. With the progressive development of medical and communication - computer technologies, the healthcare system has seen a tremendous opportunity to support the demand of today's new requirements.
R 3,825.00
Quantum Computing Solutions
Know how to use quantum computing solutions involving artificial intelligence (AI) algorithms and applications across different disciplines.Quantum solutions involve building quantum algorithms that improve computational tasks within quantum computing, AI, data science, and machine learning. As opposed to quantum computer innovation, quantum solutions offer automation, cost reduction, and other efficiencies to the problems they tackle.Starting with the basics, this book covers subsystems and properties as well as the information processing network before covering quantum simulators. Solutions such as the Traveling Salesman Problem, quantum cryptography, scheduling, and cybersecurity are discussed in step-by-step detail.The book presents code samples based on real-life problems in a variety of industries, such as risk assessment and fraud detection in banking. In pharma, you will look at drug discovery and protein-folding solutions. Supply chain optimization and purchasing solutions are presented in the manufacturing domain. In the area of utilities, energy distribution and optimization problems and solutions are explained. Advertising scheduling and revenue optimization solutions are included from media and technology verticals.What You Will LearnUnderstand the mathematics behind quantum computingKnow the solution benefits, such as automation, cost reduction, and efficienciesBe familiar with the quantum subsystems and properties, including states, protocols, operations, and transformationsBe aware of the quantum classification algorithms: classifiers, and support and sparse support vector machinesUse AI algorithms, including probability, walks, search, deep learning, and parallelismWho This Book Is ForDevelopers in Python and other languages interested in quantum solutions. The secondary audience includes IT professionals and academia in mathematics and physics. A tertiary audience is those in industry verticals such as manufacturing, banking, and pharma.
R 1,140.00
Healthcare Big Data Analytics
THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSISBy focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
R 9,281.00
Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem
The book offers insight into the healthcare system by exploring emerging technologies and AI-based applications and implementation strategies. It includes current developments for future directions as well as covering the concept of the healthcare system along with its ecosystem.Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem focuses on the mechanisms of proposing and incorporating solutions along with architectural concepts, design principles, smart solutions, decision-making process, and intelligent predictions. It offers state-of-the-art approaches for overall innovations, developments, and implementation of the smart healthcare ecosystem and highlights medical signal and image processing algorithms, healthcare-based computer vision systems, and discusses explainable AI (XAI) techniques for healthcare.This book will be useful to researchers involved in AI, IoT, Data, and emerging technologies in the medical industry. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.
R 9,333.20
Quantum Computing
The aim of this book is to provide a comprehensive exploration of the recent developments in the field of quantum computing. The book introduces readers to the history, current state, and future prospects of quantum computing. It will provide a clear understanding of the challenges it faces in becoming a practical and transformative technology.Quantum Computing: The Past, the Present, and the Future provides coverage of key areas such as introduction to quantum computers, quantum bits (Qubits), quantum information theory, quantum algorithms and complexity, implementation methods of quantum computing, quantum resistant cryptographic algorithms, quantum machine learning and applications of quantum computing. The book begins by introducing the mathematical foundations and quantum information theory to the readers and includes various techniques such as error detection and error correction. Next, a detailed description of a secure quantum channel-based communication using photons is also presented. The authors also elaborate on various techniques being pursued in realizing qubits and quantum computers including quantum dots, superconducting circuits, electron spins, and quantum wires that enable the physical realization of quantum computers. The book covers how quantum research deals with developing quantum-resistant cryptographic algorithms to secure communication channels and important information. The book closes with the research, development and prospects of quantum computing including the growth of quantum solutions to computationally exponential business problems.This book presents quantum computing to a broad audience including academics, students, computer scientists, engineers, and mathematicians. It will assist experts and aspiring quantum computing scholars to learn new quantum computing skills and to improve their expertise and applications of the technology.
R 9,998.58
Quantum Computing and Blockchain in Business
Fintech veteran and venture capitalist, Arunkumar Krishnakumar, cuts through the hype to bring us a first-hand look into how quantum computing and Blockchain together could redefine industries and life as we know it.Key FeaturesTake a practical perspective on quantum computing and Blockchain technologies and their impacts on key industriesGain insights from experts who are applying quantum computing or Blockchain in their fieldsSee where quantum computing and Blockchain are heading, and where the two may intersectBook DescriptionAre quantum computing and Blockchain on a collision course or will they be the most important trends of this decade to disrupt industries and life as we know it?Fintech veteran and venture capitalist Arunkumar Krishnakumar cuts through the hype to bring us a first-hand look into how quantum computing and Blockchain together are redefining industries, including fintech, healthcare, and research. Through a series of interviews with domain experts, he also explores these technologies’ potential to transform national and global governance and policies – from how elections are conducted and how smart cities can be designed and optimized for the environment, to what cyberwarfare enabled by quantum cryptography might look like. In doing so, he also highlights challenges that these technologies have to overcome to go mainstream.Quantum Computing and Blockchain in Business explores the potential changes that quantum computing and Blockchain might bring about in the real world. After expanding on the key concepts and techniques, such as applied cryptography, qubits, and digital annealing, that underpin quantum computing and Blockchain, the book dives into how major industries will be impacted by these technologies. Lastly, we consider how the two technologies may come together in a complimentary way.What you will learnUnderstand the fundamentals of quantum computing and BlockchainGain insights from the experts who are using quantum computing and BlockchainDiscover the implications of these technologies for governance and healthcareLearn how Blockchain and quantum computing may influence logistics and financeUnderstand how these technologies are impacting research in areas such as chemistryFind out how these technologies may help the environment and influence smart city developmentUnderstand the implications for cybersecurity as these technologies evolveWho this book is forThis book is for tech enthusiasts – developers, architects, managers, consultants, and venture capitalists – working in or interested in the latest developments in quantum computing and blockchain. While the book introduces key ideas, terms, and techniques used in these technologies, the main goal of this book is to prime readers for the practical adoption and applications of these technologies across varies industries and walks of life.
R 1,498.00
Quantum Computing
Mika Hirvensalo maps out the new multidisciplinary research area of quantum computing. The text contains an introduction to quantum computing as well as the most important recent results on the topic. The presentation is uniform and computer science-oriented. Thus, the book differs from most of the previous ones which are mainly physics-oriented. The special style of presentation makes the theory of quantum computing accessible to a larger audience. Many examples and exercises ease the understanding. In this second edition, a new chapter on quantum information has been added and numerous corrections, amendments, and extensions have been incorporated throughout the entire text.
R 2,487.96
R 611.00
Quantum Computing
Covering both theory and progressive experiments, Quantum Computing: From Linear Algebra to Physical Realizations explains how and why superposition and entanglement provide the enormous computational power in quantum computing. This self-contained, classroom-tested book is divided into two sections, with the first devoted to the theoretical aspects of quantum computing and the second focused on several candidates of a working quantum computer, evaluating them according to the DiVincenzo criteria.Topics in Part I Linear algebra Principles of quantum mechanics Qubit and the first application of quantum information processing—quantum key distribution Quantum gates Simple yet elucidating examples of quantum algorithms Quantum circuits that implement integral transforms Practical quantum algorithms, including Grover’s database search algorithm and Shor’s factorization algorithm The disturbing issue of decoherence Important examples of quantum error-correcting codes (QECC) Topics in Part II DiVincenzo criteria, which are the standards a physical system must satisfy to be a candidate as a working quantum computerLiquid state NMR, one of the well-understood physical systemsIonic and atomic qubitsSeveral types of Josephson junction qubitsThe quantum dots realization of qubitsLooking at the ways in which quantum computing can become reality, this book delves into enough theoretical background and experimental research to support a thorough understanding of this promising field.
R 11,159.86
Handbook of Research on Big Data Management and the Internet of Things for Improved Health Systems
Because of the increased access to high-speed Internet and smart phones, many patients have started to use mobile applications to manage various health needs. These devices and mobile apps are now increasingly used and integrated with telemedicine and telehealth via the medical Internet of Things (IoT). The Handbook of Research on Big Data Management and the Internet of Things for Improved Health Systems is a critical scholarly resource that examines the digital transformation of healthcare. Featuring coverage on a broad range of topics, such as brain computer interface, data reduction techniques, and risk factors, this book is geared towards academicians, practitioners, researchers, and students seeking research on health and well-being data.
R 9,851.15
Quantum Computing
This book teaches practical lessons on how quantum computing really works while exploring the many useful things quantum algorithms can do. Andrew Glassner uses high school-level math to explain the unusual behaviours of quantum computers, then expands to the formulas and techniques used in those computers' unique programs. By the end of the book, readers will be ready to create and run their own quantum algorithms to overcome a variety of practical challenges using quantum computers and simulators freely available online.
R 1,140.00
Exploratory Data Analytics for Healthcare
Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way. The book addresses the complete data visualization technologies workflow, explores basic and high-level concepts of computer science and engineering in medical science, and provides an overview of the clinical scientific research areas that enables smart diagnosis equipment. It will discuss techniques and tools used to explore large volumes of medical data and offers case studies that focus on the innovative technological upgradation and challenges faced today. The primary audience for the book includes specialists, researchers, graduates, designers, experts, physicians, and engineers who are doing research in this domain.
R 9,320.85
