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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

    • Integrated Sensing and Communications for Future Wireless Networks

      • 1st Edition
      • November 9, 2024
      • Aryan Kaushik
      • English
      • Paperback
        9 7 8 0 4 4 3 2 2 1 4 3 9
      • eBook
        9 7 8 0 4 4 3 2 2 1 4 4 6
      Integrated Sensing and Communications for Future Wireless Networks: Principles, Advances and Key Enabling Technologies presents the principles, methods, and algorithms of ISAC, an overview of the essential enabling technologies, as well as the latest research and future directions. Suitable for academic researchers and post graduate students as well as industry R&D engineers, this book is the definitive reference in this interdisciplinary field that is being seen as a technology to enable emerging applications such as vehicular networks, environmental monitoring, remote sensing, IoT, smart cities.Importantly, ISAC has been identified as an enabling technology for B5G/6G, and the next-generation Wi-Fi system. ISAC brings together a range of technologies: radar sensing, reconfigurable intelligent surfaces, holographic surfaces through to high frequency terahertz, PHY security, channel signaling, multiple access, and machine learning.

    • Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications

      • 1st Edition
      • July 13, 2024
      • Siddhartha Bhattacharyya + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 5 5 3 3 8
      • eBook
        9 7 8 0 4 4 3 1 5 5 3 2 1
      Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications focuses on recent, up-to-date technologies, combining other intelligent tools with swarm intelligence techniques to yield robust and failsafe solutions to real world problems. This book aims to provide audiences with a platform to learn and gain insights into the latest developments in hybrid swarm intelligence. It will be useful to researchers, engineers, developers, practitioners, and graduate students working in the major and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing.With the advent of data-intensive applications, the elimination of redundancy in disseminated information has become a serious challenge for researchers who are on the lookout for evolving metaheuristic algorithms which can explore and exploit the information feature space to derive the optimal settings for specific applications. Swarm intelligence algorithms have developed as one of the most widely used metaheuristic techniques for addressing this challenge in an effective way. Inspired by the behavior of a swarm of bees, these swarm intelligence techniques emulate the corresponding natural instincts to derive optimal solutions for data-intensive applications.

    • Cancer Epigenetics and Nanomedicine

      • 1st Edition
      • June 26, 2024
      • Prashant Kesharwani + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 2 0 9 4
      • eBook
        9 7 8 0 4 4 3 1 3 2 1 0 0
      Cancer Epigenetics and Nanomedicine: Targeting the Right Player via Nanotechnology is a complete package that provides a comprehensive and thorough understanding of the key players that modulate the various steps of carcinogenesis and malignant progression of the disease and the critical targets to be exploited for developing novel modalities of diagnosis and therapeutics.Since epigenetic aberrations can be potentially reversed and restored to their normal state through epigenetic therapy, the book also discusses the challenges and the future of the field with the cutting-edge revelations and limitations that this research endeavor can offer, thereby helping the readers to enhance their critical thinking and adopt strategies of therapeutic importance.

    • Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem

      • 1st Edition
      • June 7, 2024
      • Dominique J Monlezun
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 5 9 7 1
      • eBook
        9 7 8 0 4 4 3 2 1 5 9 6 4
      Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem: A Humanity Worth Saving is the first comprehensive book showing how trustworthy AI can revolutionize decolonized global public health. It explains how it works as an ecosystem and how it can be fixed to equitably empower us all to solve the defining crises of our era, from poverty to pandemics, climate to conflicts, debt to divisions. It is written from the first-hand perspective of the world’s first triple doctorate trained physician-data scientist and ethicist who has cared for more than 10,000 patients and authored 5 AI textbooks and more than 400 scientific and ethics papers. This essential resource integrates science, political economics, and ethics to unite our unique cultures, belief systems, institutions, and governments. In doing so, it is meant to give humanity a fighting chance against shared existential threats through cooperation and managed strategic competition for integral sustainable development.Taking seriously diverse voices, perspectives, and insights from the Global North and the Global South, this book uses concrete examples backed up by clear explanations to elucidate the current failures, emerging successes, and societal trends of global public health. It shows how a small number of powerful governments and corporations—amid digitalization, deglobalization, and demographic shifts—dominate global health, and how we can re-engineer a better future for it both societally and technologically. The book spans health breakthroughs in federated data architectures, machine learning, deep learning, swarm learning, quantum computing, blockchain, agile data governance and solidarity, value blocks (of democracies and autocracies), adaptive value supply chains, social networks, pandemics, health financing, universal health coverage, public–private partnerships, healthcare system design, precision agriculture, clean energy, human security, and multicultural global ethics. This book therefore is meant to provide a clear, coherent, and actionable guide equipping students, practitioners, researchers, policymakers, and leaders in digital technology, public health, healthcare, health policy, public policy, political economics, and ethics to generate the solutions that will define humanity’s next era—while recovering what that humanity means, and why it is worth saving.

    • Sequences and the de Bruijn Graph

      • 1st Edition
      • February 29, 2024
      • Tuvi Etzion
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 5 1 7 0
      • eBook
        9 7 8 0 4 4 3 1 3 5 1 8 7
      Sequences and the de Bruijn Graph: Properties, Constructions, and Applications explores the foundations of theoretical mathematical concepts and their important applications to computer science, electrical engineering, and bioinformatics. The book introduces the various concepts, ideas, and techniques associated with the use of the de Bruijn Graph, providing comprehensive coverage of sequence classification, one-dimensional and two-dimensional properties, constructions, and interconnection networks. This book is suitable for researchers, graduate students, professors, and professionals working in the fields of applied mathematics, electrical engineering, computer science, and bioinformatics.The de Bruijn graph was defined in 1946 to enumerate the number of closed sequences where each n-tuple appears exactly once as a window in a sequence. Through the years, the graph and its sequences have found numerous applications – in space technology, wireless communication, cryptography, parallel computation, genome assembly, DNA storage, and microbiome research, among others.

    • Recent Progress in Medical Miniature Robots

      • 1st Edition
      • October 22, 2024
      • Li Zhang + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 3 8 5 5
      • eBook
        9 7 8 0 4 4 3 1 3 3 8 6 2
      Recent Progress in Medical Miniature Robots: From Bench to Bedside serves as aspecialized and dedicated reference on miniature robots and their related biomedicalapplicatio... This book presents the latest achievements in the research of miniaturerobotics and introduces a variety of miniature robots on the milli-/micro-/nano-s... withtethered/untethe... and individual/swarm designs, describing the various types andanalyzing the underlying principles per class. Recent Progress in Medical Miniature Robots:From Bench to Bedside is suitable for clinicians, academicians, healthcare professionals,resear... students, engineers, and scientists working in the field of medical miniaturerobots and related biomedical applications.

    • Advances in Cancer Biomarkers Research

      • 1st Edition
      • December 1, 2024
      • Anand Narayan Singh + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 5 2 5 8 3
      • eBook
        9 7 8 0 3 2 3 9 5 2 5 9 0
      Advances in Cancer Biomarkers Research provides a thorough and detailed description of cancer biomarkers for diagnostic, prognostic and therapeutics in several cancer types. The book presents a compendium of topics related to current advanced research, along with fundamental knowledge that will help readers fully comprehend the field of cancer biomarkers. Topics discussed include such the role of genetic mechanisms, epigenetics, DNA and microRNA in different cancers, signaling pathways and exosomes. In addition, the book discusses biomarker research applied to several cancer types, such as head and neck, urological, lung, bone tumors, hematological and neurological malignancies and breast cancers.This will be a valuable resource for cancer researchers, oncologists, graduate students and members of the biomedical field who are interested in the potential of biomarkers in cancer research and treatment.

    • Intelligent Algorithms

      • 1st Edition
      • May 25, 2024
      • Han Huang + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 7 5 8 6
      • eBook
        9 7 8 0 4 4 3 2 1 7 5 9 3
      Intelligent Algorithms: Theory and Practice discusses the latest achievements of the computation time analysis theory and practical applications of intelligent algorithms. In five chapters, the book covers (1) New methods of intelligent algorithm computation time analysis; (2)Application of intelligent algorithms in computer vision; (3) Application of intelligent algorithms in logistics scheduling; (4) Application of intelligent algorithms in software testing; and (5) Application of intelligent algorithm in multi-objective optimization.The content of each chapter is supported by papers published in top journals. The book's authors introduce the work of each part, which mainly includes a brief introduction (mainly for readers to understand) and academic discussion (rigorous theoretical and experimental support), in a vivid and interesting way through excellent pictures and literary compositions. To help readers learn and make progress together, each part of this book provides relevant literature, code, experimental data, and so on.

    • Decision-Making Models

      • 1st Edition
      • July 24, 2024
      • Tofigh Allahviranloo + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 6 1 4 7 6
      • eBook
        9 7 8 0 4 4 3 1 6 1 4 8 3
      Decision Making Models: A Perspective of Fuzzy Logic and Machine Learning presents the latest developments in the field of uncertain mathematics and decision science. The book aims to deliver a systematic exposure to soft computing techniques in fuzzy mathematics as well as artificial intelligence in the context of real-life problems and is designed to address recent techniques to solving uncertain problems encountered specifically in decision sciences. Researchers, professors, software engineers, and graduate students working in the fields of applied mathematics, software engineering, and artificial intelligence will find this book useful to acquire a solid foundation in fuzzy logic and fuzzy systems.Other areas of note include optimization problems and artificial intelligence practices, as well as how to analyze IoT solutions with applications and develop decision-making mechanisms realized under uncertainty.

    • Artificial Intelligence of Things (AIoT)

      • 1st Edition
      • September 11, 2024
      • Fadi Al-Turjman + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 6 4 8 2 5
      • eBook
        9 7 8 0 4 4 3 2 6 4 8 3 2
      Artificial Intelligence of Things (AIoT): Current and Future Trends brings together researchers and developers from a wide range of domains to share ideas on how to implement technical advances, create application areas for intelligent systems, and how to develop new services and smart devices connected to the Internet. Section One covers AIoT in Everything, providing a wide range of applications for AIoT methods and technologies. Section Two gives readers comprehensive guidance on AIoT in Societal Research and Development, with practical case studies of how AIoT is impacting cultures around the world. Section Three covers the impact of AIoT in educational settings.The book also covers new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power. These new areas come with various requirements in terms of reliability, quality of service, and energy efficiency.

Related subjects

Applications

Artificial intelligence

Business intelligence

Computer systems organization

Computer vision and pattern recognition

Computing milieux

Data

Graphics cad hci

Hardware and architecture

Information systems

Internet and web technology

Software

Theory and mathematics