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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.

31-40 of 3094 results in All results

Intelligent Biomedical Technologies and Applications for Healthcare 5.0

  • 1st Edition
  • Volume 16
  • November 1, 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.

Machine Learning for Low-Latency Communications

  • 1st Edition
  • November 1, 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.

Machine Learning Models and Architectures for Biomedical Signal Processing

  • 1st Edition
  • November 1, 2024
  • Suman Lata Tripathi + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 1 5 8 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 1 5 7 - 6
Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamentals concepts of machine learning techniques for bioinformatics in an interactive way. It investigates how efficient machine and deep learning models can support high-speed processors with reconfigurable architectures like graphic processing units (GPUs) and Field programmable gate arrays (FPGAs) or any hybrid system. This book will be of interest to researchers working to increase the efficiency of hardware and architecture design for biomedical signal processing and signal processing techniques.

Python Forensics

  • 2nd Edition
  • November 1, 2024
  • Chet Hosmer
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 2 3 3 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 2 3 4 - 4
Python Forensics: A Workbench for Inventing and Sharing Digital Forensic Technology, Second Edition provides never-before-published, proven forensic modules, libraries, and turnkey solutions. In addition, detailed instruction and documentation provided with the code samples allow even novice Python programmers to add their own unique twists. Rapid development of new cybercrime investigation tools is an essential ingredient in virtually every case and environment. Whether you are performing post-mortem investigation, executing live triage, extracting evidence from mobile devices or cloud services, or are collecting and processing evidence from a network, Python forensic implementations can fill in the gaps.This updated edition addresses new and emerging needs of the Digital Forensics professional, including expanded integration of Python into forensics and cybersecurity platforms; extensive machine learning integration with the Python ecosystem; using Python for deep packet inspection investigations; using Python for the gathering and analysis of Open-Source Intelligence (OSINT) investigations; using Python during eDiscovery investigations; integration of Python with Generative Pre Trainer-Transformers such as GPT-3, ChatGPT, and others; extraction and interaction with social media platforms; integration and access to Virus Total and other Internet resources; and YARA rule processing with Python.

Exploring the Metaverse

  • 1st Edition
  • November 1, 2024
  • Deepika Koundal + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 4 1 3 2 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 1 3 1 - 4
The Metaverse is an emerging technology that has the potential to transform the way we interact, work, and play. Exploring the Metaverse: Challenges and Applications explores the various applications and challenges facing the metaverse, from privacy and security concerns to questions about the economy and ethical considerations. Drawing on insights from experts in technology, ethics, and economics, the authors provide a comprehensive overview of the metaverse and its potential implications. Through a series of engaging essays and thought-provoking case studies, they examine the complex issues facing the metaverse, such as the role of virtual identity, the impact on social interactions, and the potential for addiction. They also explore potential solutions to these challenges, from technological innovations to policy interventions.

Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments

  • 1st Edition
  • November 1, 2024
  • Xiao-Lei Zhang
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 4 8 5 6 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 8 5 7 - 3
Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments provides a detailed discussion of deep learning-based robust speech processing and its applications. It begins by looking at the basics of deep learning and common deep network models, followed by front-end algorithms for deep learning-based speech denoising, speech detection, single-channel speech enhancement multi-channel speech enhancement, multi-speaker speech separation, and the applications of deep learning-based speech denoising in speaker verification and speech recognition. The book particularly emphasizes modern deep learning-based techniques for speaker verification and speech recognition, including their foundations and cutting-edge technologies.

Mathematical Methods in Medical and Biological Sciences

  • 1st Edition
  • November 1, 2024
  • Harendra Singh + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 8 8 1 4 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 8 8 1 5 - 9
Mathematical Methods in Medical and Biological Sciences presents mathematical methods for computational models arising in medical and biological sciences. Several real-life medical and biological models such as infectious and non-infectious diseases can be modelled mathematically to accomplish profound research on them in virtual environments when the cost of laboratory expenses is relatively high. This book focuses on mathematical techniques that provide global solutions for models arising in medical and biological sciences by considering their long-term benefits. The mathematical treatment of these models is very helpful in understanding these models and their real-world applications. The methods and modelling techniques presented by the authors are useful for mathematicians, engineers, doctors, scientists, and researchers working on the mathematical treatment of models in a wide range of medical and biological sciences. Mathematical Methods in Medical and Biological Sciences presents leading-edge developments and insights for a range of applications, including epidemiological modeling of pandemic dynamics, viral infection development, cancer development, blood oxygen dynamics, HIV infection spread, reaction-diffusion models, polio infection spread, and chaos modeling with fractional order derivatives. The book provides readers with both the modeling methods and their applications to reinforce learning.

IoMT Applications in Healthcare 5.0

  • 1st Edition
  • November 1, 2024
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 0 1 5 7 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 0 1 5 8 - 2
IoMT Applications in Healthcare 5.0 comprises seven chapters that collectively address key aspects of IoMT applications in healthcare. Chapter 1 introduces the concept of Healthcare 5.0, emphasizing the transformative potential of intelligent diagnosis, remote treatment, and smart health management. Chapter 2 defines IoMT and its multi-tiered architecture, discussing its pivotal role in improving electronic device productivity in healthcare. Chapter 3 explores IoMT applications in Healthcare 5.0, focusing on the revolution brought by the combination of artificial intelligence, big data analytics, and the Internet of Things. Chapter 4 discusses remote physical therapy using IoMT in Healthcare 5.0 with an in-depth look at some of the latest technologies being applied in healthcare. Chapter 5 delves into the security and privacy considerations of IoMT in healthcare. It looks at the advantages and challenges, advocating for the use of blockchain technology and machine learning to enhance security. Chapter 6 addresses overcoming challenges and future directions in IoMT. Chapter 7 concludes the book by summarizing its key findings, providing a comprehensive overview of the discussed topics.Written by experts in the field, this is a key text for Biomedical Engineers, Data Scientists, and IoT Developers specialist on the Internet of Medical Things. Graduate students of IoT engineering, biology, biostatistics, biomedical sciences, bioinformatics, health-informatics, and Interdisciplinary sciences will also find this an invaluable resource.

Internet of Drone Things

  • 1st Edition
  • October 1, 2024
  • Amartya Mukherjee + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 9 0 0 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 9 0 1 - 5
Internet of Drone Things: Architectures, Approaches, and Applications includes fundamental information related to IoDT architecture design and features and reviews the state-of-the-art in hardware and software platforms to deploy, connect, and control drones or swarms of drones. It also covers the latest developments in innovative drone-facilitated applications and services that can significantly improve efficiency, productivity, and sustainability of various operations in modern society and a growing number of its industries. Finally, experimental modeling and simulations are accompanied by prototyping examples, which are set to become the benchmark of next-level automation in the field.This book is, therefore, an invaluable resource for engineering students, researchers, and professionals as well as sector experts who work to develop new drone standards or to identify new drone technology use and commercialization areas on an international level.