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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

Digital Technology in Public Health and Rehabilitation Care

  • 1st Edition
  • August 23, 2024
  • Raymond K. Y. Tong + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 2 7 0 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 2 7 1 - 9
Digital Technology in Public Health and Rehabilitation Care: COVID Era provides an in-depth examination on how digital technology has impacted public health and rehabilitation during the COVID-19 pandemic. The book showcases the range of digital technology applications utilized in healthcare, including the use of mobile phones, computers, wearable and non-wearable technologies, sensors, 3D printers, robotics, Artificial Intelligence (AI), internet technologies, websites and apps, virtual and augmented realities, and computer games. With a wealth of case studies and insights, this book is an essential resource on the impact of digital technology on public health and rehabilitation services in the COVID-19 era. The COVID-19 pandemic had a major impact on the rehabilitation services available to those in need, particularly for older adults, people with physical and cognitive impairments, children with autism and ADHD, and individuals with physical and mental health disorders. In response to these challenges, the book focuses on the potential for advanced digital technologies to revolutionize public health and rehabilitation services, highlighting the need for researchers and healthcare professionals to work together to promote digital-based interventions.

Truly Concurrent Process Algebra With Localities

  • 1st Edition
  • August 20, 2024
  • Yong Wang
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 3 0 6 8 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 3 0 6 9 - 8
Truly Concurrent Process Algebra with Localities introduces localities into truly concurrent process algebras. The book explores all aspects of localities in truly concurrent process algebras, such as Calculus for True Concurrency (CTC), which is a generalization of CCS for true concurrency, Algebra of Parallelism for True Concurrency (APTC), which is a generalization of ACP for true concurrency, and Π Calculus for True Concurrency (Π). Together, these approaches capture the so-called true concurrency based on truly concurrent bisimilarities, such as pomset bisimilarity, step bisimilarity, history-preserving (hp-) bisimilarity and hereditary history-preserving (hhp-) bisimilarity.This book provides readers with all aspects of algebraic theory for localities, including the basis of semantics, calculi for static localities, axiomatization for static localities, as well as calculi for dynamic localities and axiomatization for dynamic localities.

Computational Knowledge Vision

  • 1st Edition
  • August 19, 2024
  • Wenbo Zheng + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 6 1 9 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 6 1 8 - 3
Computational Knowledge Vision: The First Footprints presents a novel, advanced framework which combines structuralized knowledge and visual models. In advanced image and visual perception studies, a visual model's understanding and reasoning ability often determines whether it works well in complex scenarios. This book presents state-of-the-art mainstream vision models for visual perception. As computer vision is one of the key gateways to artificial intelligence and a significant component of modern intelligent systems, this book delves into computer vision systems that are highly specialized and very limited in their ability to do visual reasoning and causal inference.Questions naturally arise in this arena, including (1) How can human knowledge be incorporated with visual models? (2) How does human knowledge promote the performance of visual models? To address these problems, this book proposes a new framework for computer vision–computational knowledge vision.

Caspases as Molecular Targets for Cancer Therapy

  • 1st Edition
  • August 10, 2024
  • Ankur Vaidya
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 6 4 4 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 6 4 5 - 8
Caspases as Molecular Targets for Cancer Therapy discusses the recent developments on targeted therapies for cancer using caspases. It describes the selection of specific caspases for cancer therapy with the current standard of care and highlights numerous assay techniques for caspase activities. This book discusses topics such as mutations within apoptosis gene, inflammatory caspases, tumor suppression, and the different caspase types and their role in anticancer activity. In addition, it discusses caspase activity assay procedure and future perspectives. It is a valuable resource for researchers, students, and members of biomedical and medical fields who want to learn more about novel anticancer targeted therapies.

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.

Distributed Optimization and Learning

  • 1st Edition
  • July 18, 2024
  • Zhongguo Li + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 6 3 6 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 6 3 7 - 4
Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systematic and self-contained description of distributed optimization and learning algorithms from a control-theoretic perspective. It focuses on exploring control-theoretic approaches and how those approaches can be utilized to solve distributed optimization and learning problems over network-connected, multi-agent systems. As there are strong links between optimization and learning, this book provides a unified platform for understanding distributed optimization and learning algorithms for different purposes.

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.

Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition

  • 1st Edition
  • July 13, 2024
  • Mohammadali Ahmadi
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 4 0 1 0 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 0 1 1 - 9
Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples presents a package for academic researchers and industries working on water resources and carbon capture and storage. This book contains fundamental knowledge on artificial intelligence related to oil and gas sustainability and the industry’s pivot to support the energy transition and provides practical applications through case studies and coding flowcharts, addressing gaps and questions raised by academic and industrial partners, including energy engineers, geologists, and environmental scientists. This timely publication provides fundamental and extensive information on advanced AI applications geared to support sustainability and the energy transition for the oil and gas industry.

CUDA Fortran for Scientists and Engineers

  • 2nd Edition
  • July 11, 2024
  • Gregory Ruetsch + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 9 7 7 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 9 7 6 - 4
CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. In order to add CUDA Fortran to existing Fortran codes, they explain how to understand the target GPU architecture, identify computationally-intensive parts of the code, and modify the code to manage the data and parallelism and optimize performance – all in Fortran, without having to rewrite in another language.Each concept is illustrated with actual examples so you can immediately evaluate the performance of your code in comparison.This second edition provides much needed updates on how to efficiently program GPUs in CUDA Fortran. It can be used either as a tutorial on GPU programming in CUDA Fortran as well as a reference text.

Gesture Recognition

  • 1st Edition
  • July 9, 2024
  • Qiguang Miao + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 8 9 5 9 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 8 9 6 0 - 6
Gesture Recognition: Theory and Applications covers this important topic in computer science and language technology that has a goal of interpreting human gestures via mathematical algorithms. The book begins by examining the computer vision-based gesture recognition method, focusing on the theory and related research results of various recent gesture recognition technologies. The book takes the evolutions of gesture recognition technology as a clue, systematically introducing gesture recognition methods based on handcrafted features, convolutional neural networks, recurrent neural networks, multimodal data fusion, and visual attention mechanisms.Three gesture recognition-based HCI (Human Computer Interaction) practical cases are introduced. Finally, the book looks at emerging research trends and application.

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