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Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

BooksJournals

Advanced Machine Learning for Cyber-Attack Detection in IoT Networks

  • 1st Edition
  • June 1, 2025
  • Dinh Thai Hoang + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 9 0 3 2 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 9 0 3 3 - 6
Advanced Machine Learning for Cyber-Attack Detection in IoT Networks analyzes diverse machine learning techniques, including supervised, unsupervised, reinforcement, and deep learning, along with their applications in detecting and preventing cyberattacks in future IoT systems. Chapters investigate the key challenges and vulnerabilities found in IoT security, how to handle challenges in data collection and pre-processing specific to IoT environments, as well as what metrics to consider for evaluating the performance of machine learning models. Other sections look at the training, validation, and evaluation of supervised learning models and present case studies and examples that demonstrate the application of supervised learning in IoT security.

Artificial Intelligence Innovations for Biomedical Engineering and Healthcare

  • 1st Edition
  • June 1, 2025
  • Alma Y Alanis + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 2 8 5 6 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 2 8 5 7 - 2
Artificial Intelligence Innovations for Biomedical Engineering and Healthcare bridges the evolving domains of artificial intelligence and biomedical engineering and healthcare. In an era where data-driven insights and precision medicine are essential in healthcare, this book explores emerging trends, and showcases AI's potential in transforming patient care, diagnosis, and the treatment of chronic diseases. The book goes on to examine how advanced technologies, including complex networks and AI-driven diagnostics, are reshaping the healthcare landscape. It simplifies the relationship between artificial intelligence and biomedical engineering, elucidating how these technologies are revolutionizing self-care. From decoding complex networks to revealing AI's role in treating chronic diseases, this book serves as a guide to understanding how innovation is reshaping the healthcare landscape.

Quantum Health AI

  • 1st Edition
  • June 1, 2025
  • Dominique J Monlezun
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 3 3 5 3 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 3 3 5 4 - 5
Quantum Health AI: The Revolution of Medicine, Public Health, and Global Health by Quantum Computing-Powered Artificial Intelligence addresses the challenges of defining minimum concepts and principles in various domains and disciplines to allow ecosystem interoperability across diverse actors. The book articulates a strategic vision for quantum health AI, focusing on the intersections of quantum technologies, health, and artificial intelligence. It bridges these domains through tangible advancements and offers insights to a wide-ranging audience, comprising individuals from diverse sectors, states, disciplines, cultures, and belief systems. Users will find a common method, language, and practical solutions for defining, defending, and implementation.The book also explores the historical context and future evolution of quantum health AI, highlighting critical points where this evolution can be influenced to achieve a mutually desired outcome. The book’s comprehensive, interdisciplinary, and global approach makes it a robust and versatile resource, setting it apart from other resources in the field.

Emerging Fuzzy Intelligent Systems for Smart Healthcare Management

  • 1st Edition
  • June 1, 2025
  • Shahzaib Ashraf + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 3 9 9 7 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 3 9 9 8 - 1
Emerging Fuzzy Intelligent Systems for Smart Healthcare Management: Applications of Disc q-Rung Orthopair Fuzzy Sets presents comprehensive methodological frameworks and the latest empirical research findings concerning disc q-rung orthopair fuzzy operators, with a specific focus on their applications in smart technologies for healthcare management. The book solves a crucial problem by offering readers an invaluable opportunity to conduct a comparative analysis, contrasting the proposed methods with their existing knowledge base. Disc q-Rung Orthopair sets, being the generalization of q-Rung Orthopair fuzzy sets, which are, in turn, the generalization of Pythagorean fuzzy sets, extend the capabilities of handling uncertainty beyond conventional fuzzy sets.The authors strive to narrow the knowledge gap by clarifying the practical applications of disc q-rung orthopair fuzzy logic. In addition, it explores an enhanced version of q-Rung Orthopair Fuzzy Sets, specifically focusing on Disc q-Rung Orthopair Fuzzy Sets, introducing various types of operators. These operators play a crucial role in solving decision-making and optimization problems. A notable contribution is the development of a hybrid operator, termed as the Disc q-Rung Orthopair Fuzzy Hybrid Weighted Averaging/Geometric (D-qROFHWA/G) operator.

The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain

  • 1st Edition
  • June 1, 2025
  • Hossein Pourrahmani + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 4 1 4 6 7 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 4 1 4 6 8 - 8
The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain is a unique and comprehensive resource that addresses the dynamic intersection of decentralized hydrogen communities and advanced technologies. The book provides a guide to understanding the transformative potential of artificial intelligence, Internet of Things, and blockchain in the context of decentralized hydrogen, from foundational principles to advanced applications. It provides practical insights into addressing environmental concerns, integrating innovative technologies, and formulating effective policies. The book begins by introducing decentralized hydrogen communities, their principles, and significance in sustainable energy. It differentiates hydrogen from fossil fuels, highlighting environmental benefits and the inclusive nature of decentralized hydrogen production. The exploration continues with electrolysis for hydrogen generation, types of electrolyzers, working principles, technological advancements, and their environmental and economic impacts. The role of fuel cells in clean energy is covered next, detailing types, advancements, integration in various applications, and environmental and economic impacts. The discussion then shifts to advanced Artificial Intelligence algorithms in hydrogen production, focusing on AI integration, smart production mechanisms, predictive analytics, and cybersecurity challenges. Blockchain trust in hydrogen networks is examined, emphasizing blockchain integration, trust and transparency, and smart contracts. The book also discusses Internet of Things connectivity for optimizing hydrogen systems and technologies, covering IoT integration, devices, real-time monitoring, and future trends. Economic considerations and policy frameworks in hydrogen production are addressed, including economic viability, policy implications, financial incentives, and regulatory challenges. Finally, the book summarises key insights, benefits, challenges, and the role of decentralized hydrogen communities in global energy. Decentralized Hydrogen: Using Artificial Intelligence, Internet of Things, and Blockchain is an invaluable reference for researchers, scientists, industry professionals, and policymakers involved in the hydrogen economy and will also be of interest to students seeking an overview of the subject.

Data Mining

  • 5th Edition
  • May 7, 2025
  • James Foulds + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 8 8 8 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 8 8 9 - 6
Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including more recent deep learning content on topics such as generative AI (GANs, VAEs, diffusion models), large language models (transformers, BERT and GPT models), and adversarial examples, as well as a comprehensive treatment of ethical and responsible artificial intelligence topics. Authors Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, along with new author James R. Foulds, include today’s techniques coupled with the methods at the leading edge of contemporary research

Intelligent Data Analytics for Solar Energy Prediction and Forecasting

  • 1st Edition
  • May 1, 2025
  • Amit Kumar Yadav + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 4 8 2 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 4 8 3 - 8
Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and PV Systems Optimization explores the utilization of advanced neural networks, machine learning and data analytics techniques for solar radiation prediction, solar energy forecasting, installation and maximum power generation. The book addresses relevant input variable selection, solar resource assessment, tilt angle calculation, and electrical characteristics of PV modules, including detailed methods, coding, modeling and experimental analysis of PV power generation under outdoor conditions. It will be of interest to researchers, scientists and advanced students across solar energy, renewables, electrical engineering, AI, machine learning, computer science, information technology and engineers. In addition, R&D professionals and other industry personnel with an interest in applications of AI, machine learning, and data analytics within solar energy and energy systems will find this book to be a welcomed resource.

The Convergence of Artificial Intelligence (AI) and 6G Communication Networks: The Needs and Implications

  • 1st Edition
  • Volume 139
  • May 1, 2025
  • Muthu Ramachandran + 4 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 3 - 1 8 9 2 3 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 8 9 2 4 - 1
Advances in Computers, Volume 139 focuses on the convergence of Artificial Intelligence (AI) and 6G communication networks, addressing key advancements and implications across various fields. It explores cybersecurity challenges in 5G networks, solutions for 5G performance evaluation, and the transition to 5G-Advanced. The role of AI in enhancing 6G network performance, resource allocation, and management is discussed alongside the technical foundations of 6G and its ability to power edge AI applications. The volume highlights how 6G will transform industries like logistics through automation and AI-driven decision-making, while also covering strategic management perspectives on AI-driven innovations. Sustainability is a key theme, with discussions on energy-efficient cloud and quantum data centers, as well as the integration of green innovations into AI-6G synergy. The metaverse and its reliance on 5G and 6G for immersive experiences are reviewed, alongside the revolutionary potential of quantum computing in 6G networks. The practical applications of AI, such as a CNN-based model for brain tumor detection using 5G edge cloud, and federated learning for 6G, demonstrate the technology's impact on healthcare and data privacy. Additionally, the volume delves into 6G’s role in enabling next-generation metaverse systems and AI-powered telemedicine, while providing insights into the architecture, communication systems, and industrial use cases of 6G. It concludes by summarizing the advancements, advantages, and challenges of 6G, offering a comprehensive view of its future impact on global connectivity.

Introduction to Digital Human Modeling

  • 1st Edition
  • May 1, 2025
  • Yujiang Xiang + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 9 9 8 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 9 9 9 - 3
Introduction to Digital Human Modeling bridges the gap in current literature by providing a comprehensive resource on digital human modeling for beginners and researchers. The content includes step-by-step procedures for building a digital human model, fundamental human kinematics and dynamics, advanced topics such as motion prediction and injury prevention, and industrial applications. The book covers theoretical concepts and experimental validation, including human anatomy, degrees of freedom, skeletal and musculoskeletal modeling, equations of motion, reach envelopes, lifting prediction, muscle fatigue model, and injury analysis. It teaches readers how to build simulation-based human models, set up equations of motion, analyze human biomechanics, and utilize simulations and experiments to study worker injuries. Furthermore, the book introduces both fundamental and advanced digital human modeling methods and optimization techniques aimed at improving performance and preventing injuries in manual material handling, as well as addressing lifting and gait biomechanics and ergonomics.

Massive MIMO in Practice

  • 2nd Edition
  • May 1, 2025
  • Henrik Asplund + 12 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 9 2 0 4 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 9 2 0 5 - 7
Massive MIMO in Practice: From 5G/5G-Advanced to 6G (2nd edition of the previously titled Advanced Antenna Systems for 5G Network Deployments: Bridging the Gap between Theory and Practice) provides a theoretical introduction to Massive MIMO as well as presenting how it can meet network performance requirements for commercial deployment.Features include:A thorough understanding of:Array antennas and how they can be used for beamforming, null-forming and support for MIMO featuresMassive MIMO features and how they work, with a particular focus on mobile networks and the specifics relevant for mobile network operation, e.g. characteristics of the radio channel in different environment and how Massive MIMO solutions adapt to theseA detailed walk-through of the 3GPP physical layer support for Massive MIMO solutions, the background for this support and how it can be used in mobile networksExplanations of what performance can be achieved in commercially deployed mobile networks for: different antenna configurations; different Massive MIMO features; different network deployment environmentsAn introduction to millimeter Wave solutions with a focus on the specifics of wave propagation and the corresponding technology solutionsRegulatory aspects which are new and specific to Massive MIMO operationProduct architecture and implementation aspects that provide cost efficient and flexible operationNew to this edition:More detail on the practical use of Massive MIMO in commercial mobile networks, specifically how to choose solutions, including antenna configuration and suitable Massive MIMO features, for cost efficient operation depending on traffic and environmental conditionsA new chapter on how to put the complete Massive MIMO solution together: hardware solutions, features and use of spectrumOutlines promising Massive MIMO solutions to be deployed in the futureInclusion of 3GPP’s Rel. 17 and Rel. 18 updatesRecent regulatory issues of high general interestPractical aspects of network planning, deployment and operationExamples of other applications of Massive MIMO: satellites, drones and WiFiOutlines the path Massive MIMO can play to achieving 6G

Related subjects

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