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Books in Artificial intelligence

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51-60 of 523 results in All results

Metaheuristics Algorithms for Medical Applications

  • 1st Edition
  • November 24, 2023
  • Mohamed Abdel-Basset + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 3 1 4 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 3 1 5 - 2
Metaheuristics Algorithms for Medical Applications: Methods and Applications provides readers with the most complete reference for developing metaheuristics techniques with machine learning for solving biomedical problems. This book is organized to present a stepwise progression beginning with the basics of metaheuristics, leading into methods and practices, and concluding with advanced topics. The first section of this book presents the fundamental concepts of metaheuristics and machine learning and provides a comprehensive taxonomic view of metaheuristics methods according to a variety of criteria such as data type, scope, and method. The second section of this book explains how to apply metaheuristics techniques for solving large-scale biomedical problems, including analysis and validation under different strategies. The final portion of the book focuses on advanced topics in metaheuristics in four different applications. Readers will discover a variety of new methods, approaches, and techniques, as well as a wide range of applications demonstrating key concepts in metaheuristics for biomedical science. This book provides a leading-edge resource for researchers in a variety of scientific fields who are interested in metaheuristics, including mathematics, biomedical engineering, computer science, biological sciences, and clinicians in medical practice.

Practical Design and Applications of Medical Devices

  • 1st Edition
  • November 24, 2023
  • Dilber Uzun Ozsahin + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 4 1 3 3 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 4 1 3 2 - 4
Practical Design and Applications of Medical Devices focuses on devices which receive and transmit bioelectric signals, such as electrocardiograph, electrodes, blood flow, blood pressure, physiological effects and, in some cases, current flowing through the human body. This thorough guide for researchers and engineers in the field of biomedical and instrumentation engineering presents a streamlined medical strategy for designing these medical devices, sensors, and tools. It also promotes operational efficiency in the healthcare industry, with the goals of improving patient safety, lowering overall healthcare costs, broadening access to healthcare services, and improving accessibility.

Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems

  • 1st Edition
  • November 21, 2023
  • Yuekuan Zhou + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 1 7 7 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 1 7 8 - 3
Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems examines the combined impact of buildings and transportation systems on energy demand and use. With a strong focus on AI and machine learning approaches, the book comprehensively discusses each part of the energy lifecycle, considering source, grid, demand, storage, and usage. Opening with an introduction to smart buildings and intelligent transportation systems, the book presents the fundamentals of AI and its application in renewable energy sources, alongside the latest technological advances. Other topics presented include building occupants’ behavior and vehicle driving schedule with demand prediction and analysis, hybrid energy storages in buildings with AI, smart grid with energy digitalization, and prosumer-based P2P energy trading. The book concludes with discussions on blockchain technologies, IoT in smart grid operation, and the application of big data and cloud computing in integrated smart building-transportation energy systems. This title provides critical information to students, researchers, and engineers wanting to understand, design, and implement flexible energy systems to meet the rising demand in electricity.

Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images

  • 1st Edition
  • November 16, 2023
  • D. Jude Hemanth
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 9 9 9 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 4 0 0 0 - 6
Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images comprehensively examines the wide range of AI-based mammogram analysis methods for medical applications. Beginning with an introductory overview of mammogram data analysis, the book covers the current technologies such as ultrasound, molecular breast imaging (MBI), magnetic resonance (MR), and Positron Emission mammography (PEM), as well as the recent advancements in 3D breast tomosynthesis and 4D mammogram. Deep learning models are presented in each chapter to show how they can assist in the efficient processing of breast images.The book also discusses hybrid intelligence approaches for early-stage detection and the use of machine learning classifiers for cancer detection, staging and density assessment in order to develop a proper treatment plan. This book will not only aid computer scientists and medical practitioners in developing a real-time AI based mammogram analysis system, but also addresses the issues and challenges with the current processing methods which are not conducive for real-time applications.

Multi-Criteria Decision-Making for Renewable Energy

  • 1st Edition
  • October 24, 2023
  • Mohamed Abdel-Basset + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 3 7 8 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 3 8 9 - 3
Multi-Criteria Decision-Making for Renewable Energy: Methods, Applications, and Challenges brings together the latest fuzzy and soft computing methods, models, and algorithms as applied to the field of renewable energy and supported by specific application examples and case studies. The book begins by approaching renewable energy sources, challenges and factors that affect their development, as well as green renewable energy sites and the utilization of fuzzy multi-criteria decision-making (MCDM) techniques in these broad contexts, as well as utilization in addressing the various environmental, economic, and social barriers to ensuring the sustainability of energy resources. Detailed chapters focus on the application of multi-criteria decision-making methods for planning, modeling and prioritization in specific areas of renewable energy, including solar energy, wind farms, solar-powered hydrogen production plants, biofuel production, energy storage, hydropower, and marine energy. Finally, future opportunities and research directions are explored.

Artificial Intelligence in the Age of Neural Networks and Brain Computing

  • 2nd Edition
  • October 10, 2023
  • Robert Kozma + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 6 1 0 4 - 2
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 5 8 1 6 - 5
Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters.

Energy Management in Homes and Residential Microgrids

  • 1st Edition
  • September 14, 2023
  • Reza Hemmati
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 7 2 8 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 7 2 9 - 4
Energy Management in Homes and Residential Microgrids: Short-Term Scheduling and Long-Term Planning provides an in-depth exploration of Home Energy Management Systems (HEMS), with a focus on practical applications for both short- and long-term models. Through this guide, readers will learn how to create efficient systems that facilitate the integration of renewable energy into the grid and simultaneously manage end-users' energy consumption. The short-term operation of Home Energy Management Systems is analyzed through various lenses, including renewable energy integration, energy storage integration, uncertainty in parameters, off-grid operation, outages and events, resilience, electric vehicle integration, and battery swapping strategy.The modelling of these topics is explained with step-by-step instructions, and the parameters and implications are thoroughly discussed. Additionally, the book offers insight into the long-term expansion planning for residential microgrids, providing a detailed examination of dynamic modeling, control, and stability of these small-scale energy systems. Throughout the book, simple and advanced examples are provided, and each example comes with numerical data, detailed formulation, modelling, and simulation.

Machine Learning for Biomedical Applications

  • 1st Edition
  • September 7, 2023
  • Maria Deprez + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 2 9 0 4 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 2 9 0 5 - 7
Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch presents machine learning techniques most commonly used in a biomedical setting. Avoiding a theoretical perspective, it provides a practical and interactive way of learning where concepts are presented in short descriptions followed by simple examples using biomedical data. Interactive Python notebooks are provided with each chapter to complement the text and aid understanding. Sections cover uses in biomedical applications, practical Python coding skills, mathematical tools that underpin the field, core machine learning methods, deep learning concepts with examples in Keras, and much more. This accessible and interactive introduction to machine learning and data analysis skills is suitable for undergraduates and postgraduates in biomedical engineering, computer science, the biomedical sciences and clinicians.

Autonomous Mobile Robots

  • 1st Edition
  • September 1, 2023
  • Rahul Kala
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 8 9 0 8 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 8 9 0 9 - 8
Autonomous Mobile Robots: Planning, Navigation, and Simulation presents detailed coverage of the domain of robotics in motion planning and associated topics in navigation. This book covers numerous base planning methods from diverse schools of learning, including deliberative planning methods, reactive planning methods, task planning methods, fusion of different methods, and cognitive architectures. It is a good resource for doing initial project work in robotics, providing an overview, methods and simulation software in one resource. For more advanced readers, it presents a variety of planning algorithms to choose from, presenting the tradeoffs between the algorithms to ascertain a good choice. Finally, the book presents fusion mechanisms to design hybrid algorithms.

Innovations in Artificial Intelligence and Human-Computer Interaction in the Digital Era

  • 1st Edition
  • July 22, 2023
  • Surbhi Bhatia Khan + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 9 8 9 1 - 8
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 9 9 4 9 - 6
Innovations in Artificial Intelligence and Human Computer Interaction in the Digital Era investigates the interaction and growing interdependency of the HCI and AI fields, which are not usually addressed in traditional approaches. Chapters explore how well AI can interact with users based on linguistics and user-centered design processes, especially with the advances of AI and the hype around many applications. Other sections investigate how HCI and AI can mutually benefit from a closer association and the how the AI community can improve their usage of HCI methods like “Wizard of Oz” prototyping and “Thinking aloud” protocols. Moreover, HCI can further augment human capabilities using new technologies. This book demonstrates how an interdisciplinary team of HCI and AI researchers can develop extraordinary applications, such as improved education systems, smart homes, smart healthcare and map Human Computer Interaction (HCI) for a multidisciplinary field that focuses on the design of computer technology and the interaction between users and computers in different domains.

Related subjects

Artificial intelligence expert systems and knowledge based systems

Artificial intelligence general

Cognitive science

Computer human interaction

Evolutionary computation genetic algorithms programming

Fuzzy logic

Machine learning

Natural language and computational linguistics

Neural networks

Planning and scheduling

Reasoning

Robotics and autonomous systems