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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

    • Multifunctional Nanocomposites for Targeted Drug Delivery in Cancer Therapy

      • 1st Edition
      • November 23, 2023
      • Awesh K. Yadav + 2 more
      • Awesh K. Yadav + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 5 3 0 3 0
      • eBook
        9 7 8 0 3 2 3 9 5 3 0 4 7
      Multifunctional Nanocomposites for Targeted Drug Delivery in Cancer Therapy explores the design, synthesis, and application of different multifunctional nanocomposites drug delivery system for cancer treatment. It encompasses initial chapters discussing introductory information about cancer, followed by chapters focusing on the detailed information about various novel drug delivery systems for treatment of several organ site cancers such as prostate, skin, breast, lung, liver, pancreas, stomach, colon, blood, mouth and throat. It is a valuable resource for cancer researchers, oncologists, graduate students, and members of biomedical research who need to understand more about novel nanotechnologies applied to cancer treatment.

    • 5G/5G-Advanced

      • 3rd Edition
      • November 21, 2023
      • Erik Dahlman + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 1 7 3 8
      • eBook
        9 7 8 0 4 4 3 1 3 1 7 4 5
      5G Advanced: The Next Generation Wireless Access Technology, Third Edition follows the authors' highly celebrated books on 3G and 4G by providing a new level of insight into 5G NR. After an initial discussion of the background to 5G, including requirements, spectrum aspects and the standardization timeline, all technology features of the first phase of NR are described in detail. Included is a detailed description of the NR physical-layer structure and higher-layer protocols, RF and spectrum aspects and co-existence and interworking with LTE. This book provides a good understanding of NR and the different NR technology components, giving insight into why a certain solution was selected.

    • 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-Transportat... 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-transportat... 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.

    • Colorectal Cancer

      • 1st Edition
      • November 19, 2023
      • Bhupendra G. Prajapati + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 8 7 0 6
      • eBook
        9 7 8 0 4 4 3 1 3 8 7 1 3
      • eBook
        9 7 8 0 4 4 3 2 8 6 2 4 7
      Colorectal Cancer: Disease and Advanced Drug Delivery Strategies examines the combined impact of basic clinical and medical treatments as well as recent advances in the field of colorectal cancer. With a strong focus towards colorectal cancer diagnosis, disease drug delivery, and diagnosis, the book also examines the Tumor microenvironment-res... and site-specific nanoparticles for cancer theragnostics. Sections provide the opportunity to understand and diagnose the disease, describes screening methods, and update on drugs, including nano- and immunotherapy. Content includes clinical trials in colorectal cancer research and disease models that help better direct researchers and clinicians on how to diagnose and treat colorectal cancer.

    • 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.

    • Biomarkers in Cancer Detection and Monitoring of Therapeutics

      • 1st Edition
      • November 16, 2023
      • Ranbir Chander Sobti + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 5 1 1 4 2
      • eBook
        9 7 8 0 3 2 3 9 5 1 1 5 9
      Molecular Biomarkers in Cancer Detection and Monitoring of Therapeutics: Volume Two: Diagnostic and Therapeutic Applications discusses how molecular biomarkers are used to determine predisposition, facilitate detection, improve treatment and offer prevention guidelines for different cancers. It focuses on novel diagnostic techniques based on molecular biomarkers and their impact on treatment, covering different cancer types such as tumors in the nervous system, head and neck, oral and GI tractor, lung, breast, gastric system, leukemia and urogenital tract cancers. For each type, the book discusses the best diagnostic techniques and therapeutic approaches, thus helping readers easily identify the best solution for each case. This is a valuable resource for cancer researchers, oncologists, graduate students and other members of the biomedical field who are interested in the potential of biomarkers in cancer research.

    • Biomarkers in Cancer Detection and Monitoring of Therapeutics

      • 1st Edition
      • November 16, 2023
      • Ranbir Chander Sobti + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 5 1 1 6 6
      • eBook
        9 7 8 0 3 2 3 9 5 1 1 7 3
      Biomarkers in Cancer Detection and Monitoring of Therapeutics, Volume One, Discovery and Technologies discusses how molecular biomarkers are used to determine predisposition, facilitate detection, improve treatment and offer prevention guidelines for different cancer types. This first volume in the series focuses on techniques and approaches recently developed to assist in the decision of which biomarker to use for specific conditions. Topics covered include circulating tumor cells and circulating tumor DNA, exomes, tumor microenvironment, gene editing, artificial intelligence and robotics. In addition, the book discusses the development and applications of organoids and precision medicine.This book 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.

    • Picture Fuzzy Logic and Its Applications in Decision Making Problems

      • 1st Edition
      • November 8, 2023
      • Chiranjibe Jana + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 2 0 2 4 1
      • eBook
        9 7 8 0 4 4 3 2 2 0 2 3 4
      Picture Fuzzy Logic and Its Applications in Decision Making Problems provides methodological frameworks and the latest empirical research findings in the field of picture fuzzy operators and their applications in scientific research and real-world engineering problems. In this book, picture fuzzy sets are investigated, and different types of operators are defined to solve a number of important decision-making and optimization problems. The hybrid operator on picture fuzzy set based on the combination of picture fuzzy weighted averaging operators and picture fuzzy weighted geometric operators is developed and named Hybrid Picture Fuzzy Weighted Averaging Geometric (H-PFWAG) operator. In addition, another operator is developed for interval-valued picture fuzzy environment, which is named Hybrid Interval-Valued Picture Fuzzy Weighted Averaging Geometric (H-IVPFWAG) operator. These two operators are then demonstrated as solutions to Multiple-Attribute Decision-Making (MADM) problems. The picture fuzzy soft weighted aggregation operators (averaging and geometric) are defined, and these are applied to develop a multi-criteria group decision making system.

    • Embedded Systems

      • 2nd Edition
      • October 28, 2023
      • Jason D. Bakos
      • English
      • Paperback
        9 7 8 0 1 2 8 2 2 5 7 5 2
      • eBook
        9 7 8 0 3 2 3 9 0 3 0 2 8
      Embedded Systems: ARM Programming and Optimization, Second Edition combines an exploration of the ARM architecture with an examination of the facilities offered by the Linux operating system to explain how various features of program design can influence processor performance. The book demonstrates methods by which a programmer can optimize program code in a way that does not impact its behavior but instead improves its performance. Several applications, including image transformations, fractal generation, image convolution, computer vision tasks, and now machine learning are used to describe and demonstrate these methods. From this, the reader will gain insight into computer architecture and application design, as well as practical knowledge in embedded software design for modern embedded systems. The second edition has been expanded to include more topics of interest to upper level undergraduate courses in embedded systems.

    • 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.

Related subjects

Applications

Artificial 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