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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

    • The Role of Blockchain in Disaster Management

      • 1st Edition
      • October 23, 2024
      • Ayan Kumar Das + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 4 7 2 2
      • eBook
        9 7 8 0 4 4 3 1 3 4 7 3 9
      The Role of Blockchain in Disaster Management explores the architecture and implementation of existing blockchain-based IoT frameworks for the detection and prevention of disasters, along with the management of relative supply chains to protect against mismanagement of essential materials. The distributed nature of Blockchain helps to protect data from internal or external attacks, especially in disaster areas or times of crisis when database systems become overloaded and vulnerable to unauthorized access, manipulation, and disruption of critical services. This book can be used as a reference by graduate students, researchers, professors, and professionals in computer science, software design, and disaster management.

    • 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.

    • Antivirus Engines

      • 1st Edition
      • October 21, 2024
      • Paul A. Gagniuc
      • English
      • Paperback
        9 7 8 0 4 4 3 3 2 9 5 2 4
      • eBook
        9 7 8 0 4 4 3 3 2 9 5 3 1
      Antivirus Engines: From Methods to Innovations, Design, and Applications offers an in-depth exploration of the core techniques employed in modern antivirus software. It provides a thorough technical analysis of detection methods, algorithms, and integration strategies essential for the development and enhancement of antivirus solutions. The examples provided are written in Python, showcasing foundational, native implementations of key concepts, allowing readers to gain practical experience with the underlying mechanisms of antivirus technology.The text covers a wide array of scanning techniques, including heuristic and smart scanners, hexadecimal inspection, and cryptographic hash functions such as MD5 and SHA for file integrity verification. These implementations highlight the crucial role of various scanning engines, from signature-based detection to more advanced models like behavioral analysis and heuristic algorithms. Each chapter provides clear technical examples, demonstrating the integration of modules and methods required for a comprehensive antivirus system, addressing both common and evolving threats.Beyond simple virus detection, the content illustrates how polymorphic malware, ransomware, and state-sponsored attacks are tackled using multi-layered approaches. Through these examples, students, researchers, and security professionals gain practical insight into the operation of antivirus engines, enhancing their ability to design or improve security solutions in a rapidly changing threat environment.

    • Intelligent Biomedical Technologies and Applications for Healthcare 5.0

      • 1st Edition
      • Volume 16
      • October 17, 2024
      • Lalit Garg + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 2 0 3 8 8
      • eBook
        9 7 8 0 4 4 3 2 2 0 3 9 5
      Intelligent Biomedical Technologies and Applications for Healthcare 5.0, Volume Sixteen covers artificial health intelligence, biomedical image analysis, 5G, the Internet of Medical Things, intelligent healthcare systems, and extended health intelligence (EHI). This volume contains four sections. The focus of the first section is health data analytics and applications. The second section covers research on information exchange and knowledge sharing. The third section is on the Internet of Things (IoT) and the Internet of Everything (IoE)-based solutions. The final section focuses on the implementation, assessment, adoption, and management of healthcare informatics solutions.This new volume in the Advances in Ubiquitous Sensing Applications for Healthcare series focuses on innovative methods in the healthcare industry and will be useful for biomedical engineers, researchers, and students working in interdisciplinary fields of research. This volume bridges these newly developing technologies and the medical community in the rapidly developing healthcare world, introducing them to modern healthcare advances such as EHI and Smart Healthcare Systems.

    • Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants

      • 1st Edition
      • October 15, 2024
      • Marvellous Moyo + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 4 8 3 0 6
      • eBook
        9 7 8 0 4 4 3 2 4 8 3 1 3
      Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants presents the development process of new artificial intelligent (AI) charging systems for battery-powered implants that can last for a lifetime after implantation. This book introduces new strategies to address the limitations of technologies that have been employed to improve the lifespan of medical implants. This book also provides guidelines that medical implant manufacturers can adopt during their product development stages—this adds a new dimension of research on medical device implants that can be a game changer for the AI medical implants industry. Researchers, engineers, and graduate students in the elds of biomedical engineering, electrical engineering, and computer science will find this text helpful as they seek to understand the potential of AI systems to help achieve sustainability in healthcare and make current medical implants relevant in the future.

    • Machine Learning for Low-Latency Communications

      • 1st Edition
      • October 10, 2024
      • Yong Zhou + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 2 0 7 3 9
      • eBook
        9 7 8 0 4 4 3 2 2 0 7 4 6
      Machine Learning for Low-Latency Communications presents the principles and practice of various deep learning methodologies for mitigating three critical latency components: access latency, transmission latency, and processing latency. In particular, the book develops learning to estimate methods via algorithm unrolling and multiarmed bandit for reducing access latency by enlarging the number of concurrent transmissions with the same pilot length. Task-oriented learning to compress methods based on information bottleneck are given to reduce the transmission latency via avoiding unnecessary data transmission.Lastly, three learning to optimize methods for processing latency reduction are given which leverage graph neural networks, multi-agent reinforcement learning, and domain knowledge. Low-latency communications attracts considerable attention from both academia and industry, given its potential to support various emerging applications such as industry automation, autonomous vehicles, augmented reality and telesurgery. Despite the great promise, achieving low-latency communications is critically challenging. Supporting massive connectivity incurs long access latency, while transmitting high-volume data leads to substantial transmission latency.

    • Fuzzy Methods for Assessment and Decision Making

      • 1st Edition
      • October 8, 2024
      • Michael Gr. Voskoglou
      • English
      • Paperback
        9 7 8 0 4 4 3 2 3 7 3 2 4
      • eBook
        9 7 8 0 4 4 3 2 3 7 3 3 1
      Fuzzy Methods for Assessment and Decision Making presents the assessment of learning and problem-solving skills with qualitative grades. These methods are outcomes of the author’s research work on the subject for more than 20 years. In particular, a hybrid assessment model uses the Center of Gravity (COG) defuzzification technique, closed real intervals (grey numbers), neutrosophic sets, and soft sets as tools. The book starts with the basic mathematical background that is needed for an understanding of its contents. The Rectangular Fuzzy Assessment Model (RFAM) of Subbotin and Voskoglou is presented next, the outcomes of which are compared to those of the GPA index.The book presents innovative fuzzy assessment methods, enabling readers to assess the mean and quality performance of learning or problem-solving skills of a group of students when qualitative (linguistic) grades are used for this purpose. In the case of using linguistic grades for the assessment of a group’s skills, the classical method of calculating the mean value of the (numerical) grades cannot be applied. Also, no safe conclusions can be obtained on comparing the quality performance of two groups when the values of their GPA index are equal.

    • Computational Intelligence in Sustainable Computing and Optimization

      • 1st Edition
      • October 8, 2024
      • Balamurugan Balusamy + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 3 7 2 4 9
      • eBook
        9 7 8 0 4 4 3 2 3 7 2 5 6
      Computational Intelligence in Sustainable Computing and Optimization: Trends and Applications focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in applications, such as agriculture, biomedical systems, bioinformatics, business intelligence, economics, disaster management, e-learning, education management, financial management, and environmental policies. The book presents research in sustainable computing and optimization, combining methods from engineering, mathematics, artificial intelligence, and computer science to optimize environmental resourcesComputation... intelligence in the field of sustainable computing combines computer science and engineering in applications ranging from Internet of Things (IoT), information security systems, smart storage, cloud computing, intelligent transport management, cognitive and bio-inspired computing, and management science. In addition, data intelligence techniques play a critical role in sustainable computing. Recent advances in data management, data modeling, data analysis, and artificial intelligence are finding applications in energy networks and thus making our environment more sustainable.

    • A Practical Introduction to Virtual Reality

      • 1st Edition
      • October 7, 2024
      • Lori Rebenitsch + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 4 0 3 6 5
      • eBook
        9 7 8 0 4 4 3 1 4 0 3 7 2
      A Practical Introduction to Virtual Reality: From Concepts to Executables is written for the undergraduate computer science student taking a course in virtual reality. This tutorial-based text is organized so that by the end of the semester students will have created their first VR game, including sound and various interactions. The materials are written from the position of the student and the student’s professor as opposed to the professional with prior graphics experience.Beginning with an introductory chapter covering the ten universal basics necessary for VR coding, the book moves on to such topics as putting together a VR set-up, creating Heads Up displays, building scene trees, learning how to import 3D models and animations, lighting and audio, and more, until by the end of the book, students will have a final project game ready for beta testing and publishing!

    • Handbook of Robotic Surgery

      • 1st Edition
      • September 27, 2024
      • Stênio de Cássio Zequi + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 2 7 1 1
      • eBook
        9 7 8 0 4 4 3 1 3 2 7 2 8
      Handbook of Robotic Surgery serves as a primer covering the main areas of knowledge in robotic surgery. This comprehensive book provides essential information on all aspects related to robotic surgery, from the present up to the future. The discussion presented in sections ranges from the historical background of robotic surgery up to more recent and future technological innovations such as remote controls, surgically distant collaboration, simulators, modern surgical robotics, fluorescence-guided surgery, and virtual reality. The book also contains sections dedicated to the safety conditions in surgery and patient protection, which will be suitable for surgeons, health professionals, biomedical engineering professionals, healthcare administrators, and students. There are specific chapters for all areas in which robotic surgery has been used in daily clinical practice or is under development.

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