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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.

    • Dimensionality Reduction in Machine Learning

      • 1st Edition
      • February 4, 2025
      • Jamal Amani Rad + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 2 8 1 8 3
      • eBook
        9 7 8 0 4 4 3 3 2 8 1 9 0
      Dimensionality Reduction in Machine Learning covers both the mathematical and programming sides of dimension reduction algorithms, comparing them in various aspects. Part One provides an introduction to Machine Learning and the Data Life Cycle, with chapters covering the basic concepts of Machine Learning, essential mathematics for Machine Learning, and the methods and concepts of Feature Selection. Part Two covers Linear Methods for Dimension Reduction, with chapters on Principal Component Analysis and Linear Discriminant Analysis. Part Three covers Non-Linear Methods for Dimension Reduction, with chapters on Linear Local Embedding, Multi-dimensional Scaling, and t-distributed Stochastic Neighbor Embedding.Finally, Part Four covers Deep Learning Methods for Dimension Reduction, with chapters on Feature Extraction and Deep Learning, Autoencoders, and Dimensionality reduction in deep learning through group actions. With this stepwise structure and the applied code examples, readers become able to apply dimension reduction algorithms to different types of data, including tabular, text, and image data.
    • IoT Security

      • 1st Edition
      • October 1, 2025
      • SK Hafizul Islam + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 1 2 5 0
      • eBook
        9 7 8 0 4 4 3 3 4 1 2 6 7
      IoT Security: Fundamentals and Key Enabling Technologies explores the complex interactions between Internet of Things (IoT) and the pressing need for effective cyber security solutions. Diving into real-world case studies to provide insights into implementing efficient security measures that safeguard against online dangers, this book comprehensively analyzes the challenges and possibilities presented by intelligent technologies fueling transformational change, emphasizing the crucial role cybersecurity plays in defending networks, data, and user privacy in an increasingly interconnected digital ecosystem.Coverage includes cryptographic methods, communication networks, device identity and access, data governance and privacy, as well as regulatory frameworks and standards for IoT security. Computer science researchers and engineers will benefit from this compilation of cutting-edge research and practical case studies, learning how to minimize risks for IoT and intelligent technologies.
    • Deep Learning Assessment of Neurological Imaging

      • 1st Edition
      • July 1, 2025
      • Tripti Goel + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 2 9 1 6
      • eBook
        9 7 8 0 4 4 3 3 0 2 9 2 3
      "Deep Learning Assessment of Neurological Imaging" provides an introduction to deep learning structures and pre-processing methods for detecting MRI anomalies. It also provides a comprehensive account of deep learning research on MRI images for Alzheimer's disease, Parkinson's disease, and schizophrenia, and a discussion on current research issues and future objectives. The book is a valuable resource to guide new entrants in the field to make a meaningful impact in their development efforts. The book concludes with a brief overview of the problems discussed and potential future advancements in the field.
    • Agent-Based Models with MATLAB

      • 1st Edition
      • January 20, 2025
      • Erik Cuevas + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 4 0 0 4 1
      • eBook
        9 7 8 0 4 4 3 2 4 0 0 5 8
      Agent-Based Models with MATLAB introduces Agent-Based Modeling (ABM), one of the most important methodologies for complex systems modeling. The book explores computational implementations and accompanying MATLAB software code as a means of inspiring readers to apply agent-based models to solve a diverse range of problems. It comes with a large amount of software code that accompanies the main text, and the modeling systems described in the book are implemented using MATLAB as the programming language. Despite the heavy mathematical components of Agent-Based Models and complex systems, it is possible to utilize these models without in-depth understanding of their mathematical fundamentals.This book enables computer scientists, mathematicians, researchers, and engineers to apply ABM in a wide range of research and engineering applications. It gradually advances from basic to more advanced methods while reinforcing complex systems through practical, hands-on applications of various computational models.
    • Quantum Computing

      • 1st Edition
      • June 30, 2025
      • Rajkumar Buyya + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 0 9 6 1
      • eBook
        9 7 8 0 4 4 3 2 9 0 9 7 8
      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.
    • Programming Language Pragmatics

      • 5th Edition
      • January 9, 2025
      • Michael Scott + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 9 9 6 6 3
      • eBook
        9 7 8 0 3 2 3 9 8 4 2 3 2
      Programming Language Pragmatics is the most comprehensive programming language textbook available today, with nearly 1000 pages of content in the book, plus hundreds more pages of reference materials and ancillaries online. Michael Scott takes theperspective that language design and language implementation are tightly interconnected, and that neither can be fully understood in isolation. In an approachable, readable style, he discusses more than 50 languages in the context of understanding how code isinterpreted or compiled, providing an organizational framework for learning new languages, regardless of platform. This edition has been thoroughly updated to cover the most recent developments in programming language design and provides both a solid understanding of the most important issues driving software development today
    • Mastering Prompt Engineering

      • 1st Edition
      • July 13, 2025
      • Anand Nayyar + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 9 0 4 2
      • eBook
        9 7 8 0 4 4 3 3 3 9 0 5 9
      Mastering Prompt Engineering: Deep Insights for Optimizing Large Language Models (LLMs) is a comprehensive guide that takes readers on a journey through the world of Large Language Models (LLMs) and prompt engineering. Covering foundational concepts, advanced techniques, ethical considerations, and real-world case studies, this book equips both novices and experts to navigate the complex LLM landscape. It provides insights into LLM architecture, training, and prompt engineering methods, while addressing ethical concerns such as bias and privacy. Real-world case studies showcase the practical application of prompt engineering in a wide range of settings. This resource is not just for specialists but is a practical and ethically conscious guide for AI practitioners, students, scientific researchers, and anyone interested in harnessing the potential of LLMs in natural language processing and generation. Mastering Prompt Engineering serves as a gateway to a deeper understanding of LLMs and their responsible and effective utilization through its comprehensive, ethical, and practical approach.
    • The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain

      • 1st Edition
      • July 11, 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 provides an essential guide to understanding the transformative potential of advanced technologies in decentralized hydrogen communities. This comprehensive resource covers the intersection of AI, IoT, and blockchain with sustainable energy, offering insights from foundational principles to advanced applications. Readers will learn about the environmental benefits of hydrogen over fossil fuels, electrolysis, and the integration of innovative technologies to enhance hydrogen production and distribution. The book delves into the role of fuel cells in clean energy, advanced AI algorithms in hydrogen production, blockchain trust in hydrogen networks, and IoT connectivity.Economi... considerations, policy frameworks, and the future of decentralized hydrogen communities are also explored, making this an invaluable reference for researchers, industry professionals, policymakers, and students interested in the hydrogen economy.
    • Soft Computing in Smart Manufacturing and Materials

      • 1st Edition
      • January 20, 2025
      • Sudan Jha + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 9 2 7 8
      • eBook
        9 7 8 0 4 4 3 2 9 9 2 8 5
      Soft Computing in Smart Manufacturing and Materials explains the role of soft computing in the manufacturing industries. It presents the techniques, concepts and design principles behind smart soft computing, and describes how they can be applied in the development and manufacture of smart materials. It provides perspectives for design and commissioning of intelligent applications, including in health care, agriculture, and production assembly, and reviews the latest intelligent technologies and algorithms related to the methodologies of monitoring and mitigation of sustainable engineering.
    • Advances in Fog Computing and the Internet of Things for Smart Healthcare

      • 1st Edition
      • November 19, 2025
      • Joseph Bamidele Awotunde + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 4 4 1 2
      • eBook
        9 7 8 0 4 4 3 3 3 4 4 2 9
      Advances in Fog Computing and the Internet of Things for Smart Healthcare delves into the transformative impact of fog computing and IoT on modern healthcare systems. This comprehensive guide educates researchers and graduate students on the fundamental concepts of these technologies, illustrating their practical applications in healthcare. Real-world use cases showcase the technologies' ability to enhance patient monitoring and personalized medicine. The book also addresses significant challenges such as privacy, security, data management, and regulatory compliance, providing strategies for overcoming them.Alongside its companion book, Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare, this volume empowers various industries to leverage IoT technologies while optimizing performance and system efficiency. It highlights the crucial role of fog computing in processing data closer to the source, ensuring faster and more efficient data processing and contributing to the creation of effective IoT ecosystems. This synergy between fog computing and IoT facilitates smarter applications and services, advancing the landscape of healthcare with more efficient, personalized, and accessible services.