Search results for "Mastering Prompt Engineering for Generative AI"
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R 672.00
R 860.63
R 672.00
Advances in Structural Engineering—Optimization
This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches.This book is a great source to researcher, graduate students, and bachelor students who gain project about structural optimization. Differently from the academic use, the chapter that emphasizes different scopes and methods can take the interest and help engineer working in design and production of structural engineering projects.
R 6,143.01
R 550.00
Cognitive Engineering
What we profoundly witness these days is a growing number of human-centric systems and a genuine interest in a comprehensive understanding of their underlying paradigms and the development of solid and efficient design practices. We are indeed in the midst of the next information revolution, which very likely brings us into a completely new world of ubiquitous and invisible computing, Ambient Intelligent (AMI), and wearable hardware. This requires a totally new way of thinking in which cognitive aspects of design, cognitive system engineering and distributed approach play a pivotal role. This book fully addresses these timely needs by filling a gap between the two well-established disciplines of cognitive sciences and cognitive systems engineering. As we put succinctly in the preface, with the psychological perspective of human cognition in mind, “the book explores the computational models of reasoning, learning, planning and multi-agent coordination and control of the human moods”. This is an excellent, up to the point description of the book. The treatise is focused on the underlying fundamentals, spans across a vast territory embracing logic perspectives of human cognition, distributed models, parallel computing, expert systems, and intelligent robotics.
R 4,664.87
Generative and Component-Based Software Engineering
In the past two years, the Smalltalk and Java in Industry and Education C- ference (STJA) featured a special track on generative programming, which was organized by the working group \Generative and Component-Based Software Engineering" of the \Gesellschaft fur ¨ Informatik" FG 2.1.9 \Object-Oriented Software Engineering." This track covered a wide range of related topics from domain analysis, software system family engineering, and software product - nes, to extendible compilers and active libraries. The talks and keynotes directed towards this new software engineering paradigm received much attention and - terest from the STJA audience. Hence the STJA organizers suggested enlarging this track, making it more visible and open to wider, international participation. This is how the GCSE symposium was born. The rst GCSE symposium attracted 39 submissions from all over the world. This impressive number demonstrates the international interest in generative programming and related elds. After a careful review by the program comm- tee, fteen papers were selected for presentation. We are very grateful to the members of the program committee, all of them renowned experts, for their dedication in preparing thorough reviews of the submissions. Special thanks go to Elke Pulvermuller ¨ and Andreas Speck, who proposed and organized a special conference event, the Young Researches Workshop (YRW). This workshop provided a unique opportunity for young scientists and Ph.D.
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R 2,442.00
Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems
This book constitutes the refereed proceedings of the 7th International Conference on Computer, Communication, and Signal Processing, ICCCSP 2023, held in Chennai, India, during January 4–6, 2023, in hybrid mode.The 17 full and 9 short papers presented in this volume were carefully reviewed and selected from 123 submissions. The papers are categorized into topical sections: artificial intelligence in health care; machine learning and deep learning; signal processing; and Internet of Things for smart systems.
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R 679.00
Generative and Transformational Techniques in Software Engineering
This tutorial book presents an augmented selection of material presented at the International Summer School on Generative and Transformational Techniques in Software Engineering, GTTSE 2005. The book comprises 7 tutorial lectures presented together with 8 technology presentations and 6 contributions to the participants workshop. The tutorials combine foundations, methods, examples, and tool support. Subjects covered include feature-oriented programming and the AHEAD tool suite; program transformation with reflection and aspect-oriented programming, and more.
R 1,586.80
Optimizing Decision-Making in Engineering
This comprehensive book explores the evolving landscape of decision-making processes for engineering and IT professionals in increasingly heterogeneous technological environments. It addresses critical gaps in current educational materials by examining how technological advancements, situational awareness challenges, human-machine intelligence integration, and virtual uncertainties impact modern decision-making frameworks. The book provides a complete journey map of decision-making that connects theoretical foundations with practical applications, offering readers a structured approach to navigate complex adaptive systems in our data-driven society.Optimizing Decision-Making in Engineering: A Journey Mapping Perspective includes an in-depth exploration of cognitive and emotional engagements in decision-making, an analysis of how advanced design functionalities influence cognitive biases and heuristics, and an examination of decision-making under virtual conditions where physical touch is absent. It presents analytical tools such as decision trees, Bayesian networks, and multi-criteria decision-making models (AHP, TOPSIS), while incorporating emerging technologies like artificial intelligence, virtual/augmented reality, IoT, and big data analytics. Real-world scenarios, use cases, and strategic frameworks like the Cynefin framework and Roger’s model provide a practical context for theoretical concepts.Designed for technology professionals, including CTOs, IT project managers, systems architects, UX directors, and engineering team leads, this resource equips product managers, business analysts, solution architects, and digital transformation consultants with enhanced decision-making capabilities for complex environments. This comprehensive guide delivers particular value for specialized roles such as AI ethics officers, human factors engineers, and digital experience strategists, providing frameworks applicable across autonomous systems, healthcare technology, immersive experiences, retail analytics, and advanced manufacturing operations.
R 5,165.00
R 550.00
Generative and Component-Based Software Engineering
These are the proceedings of the second symposium on Generative and C- ponent-Based Software Engineering that was held in Erfurt, Germany, on - tober 9-12, 2000, as part of the Net. Object Days conference. The GCSE s- posium was born in 1999 at the Smalltalk and Java in Industry and Edu- tion Conference (STJA), the precursor to the Net. Object Days conference. The GCSE symposium grew out of a special track on generative programming that was organized by the working group "Generative and Component-Based So- ware Engineering" of the "Gesellschaft fur .. Informatik" FG 2. 1. 9 at STJA in the two years 1997 and 1998. The GCSE symposium covers a wide range of related topics from domain analysis, software system family engineering, and software product lines, to extendible compilers and active libraries. The second GCSE symposium attracted 29 submissions from all over the world. This impressive number demonstrates the international interest in g- erative programming and related ?elds. After a careful review by the program committee, 12 papers were selected for presentation.We are very grateful to the members of the program committee, all of them renowned experts, for their dedication in preparing thorough reviews of the submissions. Special thanks go to Elke Pulvermuller .. , Andreas Speck, Kai B.. ollert, Detlef Streitferdt, and Dirk Heuzeroth, who continued the tradition from GCSE'99 and organized a special conference event, the Young Researchers Workshop (YRW). This workshop provided a unique opportunity for young scientists and Ph. D.
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R 824.00
Advanced Information Systems Engineering
The two-volume set LNCS 16558 + 16559 constitutes the proceedings of the 38th International Conference on Advanced Information Systems Engineering, CAiSE 2026, which took place in Verona, Italy, during June 2026.The 46 full papers included in the proceedings were carefully reviewed and selected from 331 submissions. The papers were organized in topical sections as follows: Part I: Enterprise Intelligence, Complexity, and Decision Support; Forecasting, Drift, and Prescriptive Process Analytics; Conceptual Modeling, Ontologies, and Value; Enriching Process Mining with Context and Sustainability; Human-in-the-Loop Engineering and Development Practices; Process Discovery and Analysis; Engineering AI Systems across Cloud, Edge, and Cyber-Physical Environments; Part II: LLM-Driven Modeling and Human–AI Collaboration; Agent-Based and Multi-Stakeholder Process Interaction; LLMs and AI for Process Understanding; Predictive and Neuro-Symbolic Process Analytics; Responsible, Fair, and Human-Centered AI; Object-Centric Process Mining and Conformance; Process Mining Data Quality and Repair.
R 3,155.94
Advances in Structural Engineering—Optimization
This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches.This book is a great source to researcher, graduate students, and bachelor students who gain project about structural optimization. Differently from the academic use, the chapter that emphasizes different scopes and methods can take the interest and help engineer working in design and production of structural engineering projects.
R 6,507.40
Human-Centered Software Engineering
This book constitutes the refereed proceedings of the 11th IFIP WG 13.2 International Working Conference on Human-Centered Software Engineering, HCSE 2026, held in Paderborn, Germany, during September 29–30, 2026.The 11 full papers and 4 other papers (two demos and two posters) presented in this volume were carefully reviewed and selected from 29 submissions.They are organised into the following topics: Human-Centred Design Processes for Inclusive and Complex Interactive Systems; Human-Centred Security, Trust and Operational Decision-Making; Mental Models, Explainable AI and Human-AI Symbiosis; Posters and Demos
R 2,930.56
Knowledge Engineering: Practice and Patterns
Knowledge is considered as the most important asset in our modern society. It has now penetrated all facets of computing practice: from the rise of knowledge management to the Semantic Web and from the blog culture to the knowledge economy. This penetration has made proper knowledge engineering a most - quired feature. This volume contains the papers presented at the 16th International C- ference on Knowledge Engineering and Knowledge Management (EKAW 2008) held in Acitrezza, Sicily, Italy, September 29 to October 3 2008. EKAW 2008 is concerned with all aspects of eliciting, acquiring, modelling and managing knowledge, and their role in the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing, intelligent integration information, etc. This year we paid special attention to the topic of “knowledge patterns” that can be considered as good practice or models that are applied or reused throughout the knowledge engineering life cycle. Hence, beyond traditional t- icsofEKAW,wesolicitedpapersthatcoverresearchonhowtodescribe,classify, model, extract and apply knowledge patterns in the design of ontologies, app- cations and products. We have paid special attention to the description of ex- riences that involve the application and identi?cation of knowledge patterns in social network analysis, natural language processing, multimedia analysis, p- tern recognition, etc.
R 4,360.00
Nature-Inspired Computation in Engineering
This timely review book summarizes thestate-of-the-art developments in nature-inspired optimization algorithms andtheir applications in engineering. Algorithms and topics include the overviewand history of nature-inspired algorithms, discrete firefly algorithm, discretecuckoo search, plant propagation algorithm, parameter-free bat algorithm,gravitational search, biogeography-based algorithm, differential evolution,particle swarm optimization and others. Applications include vehicle routing,swarming robots, discrete and combinatorial optimization, clustering ofwireless sensor networks, cell formation, economic load dispatch, metamodeling,surrogated-assisted cooperative co-evolution, data fitting and reverseengineering as well as other case studies in engineering. This book will be anideal reference for researchers, lecturers, graduates and engineers who areinterested in nature-inspired computation, artificial intelligence andcomputational intelligence. It can also serve as a reference for relevantcourses in computer science, artificial intelligence and machine learning, naturalcomputation, engineering optimization and data mining.
R 3,973.47
Advances in Artificial Systems for Power Engineering II
This book includes refereed papers presented at the Second International Conference on Artificial Intelligence and Power Engineering (AIPE2021), which was held in Moscow, Russia, on December 17–19, 2021. The general scope of the book includes the most recent advances in the development of artificial intelligence systems and their applications in a variety of fields, ranging from power engineering to biology and education. Given the rapid development of artificial intelligence systems, the book emphasizes the importance of intensifying training for a growing number of relevant specialists, particularly in energy and power engineering, in order to improve the effectiveness of the creation and diagnosis of appropriate technical solutions. Scientists are attempting to replicate the innate intellectual abilities of humans and other organisms in digital artificial intelligence systems. In-depth research into biological and self-organizing systems can provide new approaches for developing more and more effective artificial intelligence methods. The papers included in this volume cover thematic materials in the following areas: mathematics and computer algorithms; analysis of some technical solutions; and technological and educational approaches. The book is a collection of cutting-edge papers in the field, covering a wide range of topics relevant to both business managers and engineering professionals. These proceedings are an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their expanding applications, due to their breadth and depth. The intended readership includes specialists, students, and other groups of readers who want to know where artificial intelligence systems can be used to great advantage in the future.
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R 733.00
R 703.00
Praxis of Product Design in Collaboration with Engineering
This book reveals how a generative design process capitalizes on understanding humans in context to deliver appropriate innovation. A repertoire of design actions and output allows designers to work dynamically in order to create a cascade of new ideas and insights. The Design Matrix, a visual team tool, provides a prescriptive and descriptive guide enabling a range of users to work through a problem and also reflect on past decisions. Several case studies from prior industry collaborative projects show the complexities and tensions that can be tackled through the design process and matrix.Case studies include design and engineering development and production of an 8 Tesla MRI, biomedical projects, medical devices, and consumer products. Other cases with Ford Motor Company and Cognizant Technologies illustrate how using a human-centered design process can shift the business paradigm for new products, services, systems, and social innovations. Each story shows different and distinct aspects that span classic design and engineering problem solving to generative contextual processes which lead to innovative solutions. Describes a studio-based product development pedagogy so readers can understand through past examples how to operationalize their own design, engineering, and innovation processes;Provides specific stories that showcase details of the project work, the contextual insights, and proposed solutions as a result of applying tangible visualizations, collaborative work methods, and framing and reframing of the problem;Uses case studies to demonstrate how to use divergent and convergent design thinking and actions from multiple stages of the design process so this can lead to critical team integration and new contextual insights.
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R 1,496.98
Advances in Aerospace Engineering
This book, Advances in Aerospace Engineering꞉ Artificial Intelligence, Structures, Materials, and Optimization, explores cutting‐edge AI and machine learning methods that are revolutionizing aerospace and aviation. With chapters covering key topics such as AI‐driven research, structural analysis using Python, optimization of aircraft design, and the future of high‐strength materials like borophene, the book provides insights into how recent advancements contribute to efficiency, sustainability, and innovation in the industry. From energy‐efficient UAV routing to sustainable aviation fuels, each chapter offers valuable applications and advanced techniques, making this a comprehensive guide for professionals and researchers in aerospace engineering and AI.
R 10,432.25
Intelligent knowledge based systems in electrical power engineering
Intelligent Knowledge Based Systems in Electrical Power Engineering details how intelligent applications can be used in the power industry. The book gives a general and historical overview of intelligent knowledge based systems (IKBS) and artificial intelligence (AI) and a broad analysis of the application of these techniques in the electrical power industry. It includes chapters on forecasting and planning in power systems, design of electrical plant and systems, IKBS in condition monitoring, alarm processing, event and fault diagnosis and an analysis of future trends in IKBS for power engineering. No previous knowledge of IKBS is assumed, but an appreciation of electrical transmission and distribution systems would be useful.
R 4,643.70
Dynamic Modeling and Control of Engineering Systems
This textbook is ideal for a course in engineering systems dynamics and controls. The work is a comprehensive treatment of the analysis of lumped parameter physical systems. Starting with a discussion of mathematical models in general, and ordinary differential equations, the book covers input/output and state space models, computer simulation and modeling methods and techniques in mechanical, electrical, thermal and fluid domains. Frequency domain methods, transfer functions and frequency response are covered in detail. The book concludes with a treatment of stability, feedback control (PID, lead-lag, root locus) and an introduction to discrete time systems. This new edition features many new and expanded sections on such topics as: solving stiff systems, operational amplifiers, electrohydraulic servovalves, using Matlab with transfer functions, using Matlab with frequency response, Matlab tutorial and an expanded Simulink tutorial. The work has 40% more end-of-chapter exercises and 30% more examples.
R 6,914.44
R 489.00
Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering, 2e Instructor Site
The material in the book is intended for a first course on applied probability and statistics for engineering students at the sophomore or junior level, or for self study, stressing probabilistic modeling and the fundamentals of statistical inferences. The primary aim is to provide an in-depth understanding of the fundamentals for the proper application in engineering problems. The second edition of this well-known book (previously titled Probability Concepts in Engineering Planning and Design) by Alfredo Ang and Wilson Tang, two world-renowned educators, has been revised to simplify understanding the fundamentals of probability and statistics for engineering students. The second edition includes many new and expanded topics, including hypothesis testing and confidence intervals in regression analysis. Students using this text will develop the ability to formulate and solve real-world problems in engineering. The authors accomplish this by explaining all the concepts and methods through a variety of relevant engineering and physical problems. Each basic principle is presented and illustrated through different examples relevant to engineering and the physical sciences, particularly civil and environmental engineering. The exercise problems in each chapter further enhance understanding of basic concepts and reinforce a working knowledge of concepts and methods. The authors firmly believe that the easiest and most effective way for engineers to learn and master a new set of abstract principles is to apply them to a variety of applications.
R 7,973.00
Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering
Biomedical engineering is undergoing a transformation because of AI, which is allowing creative solutions that enhance patient outcomes, diagnosis, treatment planning, and healthcare delivery. Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering examines the salient characteristics of AI in biomedical engineering, highlighting its practical applications and new directions. Highlights of the book include:Genome sequence and visualizationThe role of AI and cloud in detection of diseasesNature-inspired algorithms for disease detectionFrameworks for disease classificationWith a focus on designing AI techniques for disease detection, the book explores the role of AI in biomedical engineering. It discusses how machine learning (ML) and deep learning (DL) are at the heart of AI applications in biomedical engineering. ML algorithms, particularly those based on neural networks, enable computers to learn from large datasets, identify patterns, and make predictions or decisions without explicit programming, and implementing ML algorithms is a focus of the book. Another focus is on DL, a subset of ML, and how it uses multi-layered neural networks to achieve high accuracy in such complex tasks as image and speech recognition. Biomedical engineering generates massive amounts of data from medical imaging, genomic sequencing, wearable devices, electronic health records (EHR), and other sources. This book also discusses AI-driven big data analytics, which allows researchers and clinicians to derive from data meaningful insights, aiding in early disease detection, personalized treatment plans, and patient monitoring.
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R 427.00
