Skip to main content
Elsevier
View Cart
My account

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

    • Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments

      • 1st Edition
      • September 4, 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. The book 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.

    • Uncertainty in Computational Intelligence-Based Decision Making

      • 1st Edition
      • September 16, 2024
      • Ali Ahmadian + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 4 7 5 2
      • eBook
        9 7 8 0 4 4 3 2 1 4 7 6 9
      Uncertainty in Computational Intelligence-Based Decision-Making focuses on techniques for reasoning and decision-making under uncertainty that are used to solve issues in artificial intelligence (AI). It covers a wide range of subjects, including knowledge acquisition and automated model construction, pattern recognition, machine learning, natural language processing, decision analysis, and decision support systems, among others.The first chapter of this book provides a thorough introduction to the topics of causation in Bayesian belief networks, applications of uncertainty, automated model construction and learning, graphic models for inference and decision making, and qualitative reasoning. The following chapters examine the fundamental models of computational techniques, computational modeling of biological and natural intelligent systems, including swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems, and evolutionary computation. They also examine decision making and analysis, expert systems, and robotics in the context of artificial intelligence and computer science.

    • Towards Neuromorphic Machine Intelligence

      • 1st Edition
      • June 5, 2024
      • Hong Qu + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 2 8 2 0 6
      • eBook
        9 7 8 0 4 4 3 3 2 8 2 1 3
      Towards Neuromorphic Machine Intelligence: Spike-Based Representation, Learning, and Applications provides readers with in-depth understanding of Spiking Neural Networks (SNNs), which is a burgeoning research branch of Artificial Neural Networks (ANNs), AI, and Machine Learning that sits at the heart of the integration between Computer Science and Neural Engineering. In recent years, neural networks have re-emerged in relation to AI, representing a well-grounded paradigm rooted in disciplines from physics and psychology to information science and engineering.This book represents one of the established cross-over areas where neurophysiology, cognition, and neural engineering coincide with the development of new Machine Learning and AI paradigms. There are many excellent theoretical achievements in neuron models, learning algorithms, network architecture, and so on. But these achievements are numerous and scattered, with a lack of straightforward systematic integration, making it difficult for researchers to assimilate and apply. As the third generation of Artificial Neural Networks (ANNs), Spiking Neural Networks (SNNs) simulate the neuron dynamics and information transmission in a biological neural system in more detail, which is a cross-product of computer science and neuroscience. The primary target audience of this book is divided into two categories: artificial intelligence researchers who know nothing about SNNs, and researchers who know a lot about SNNs. The former needs to acquire fundamental knowledge of SNNs, but the challenge is that much of the existing literature on SNNs only slightly mentions the basic knowledge of SNNs, or is too superficial, and this book gives a systematic explanation from scratch. The latter needs learning about some novel research achievements in the field of SNNs, and this book introduces the latest research results on different aspects of SNNs and provides detailed simulation processes to facilitate readers' replication. In addition, the book introduces neuromorphic hardware architecture as a further extension of the SNN system.The book starts with the birth and development of SNNs, and then introduces the main research hotspots, including spiking neuron models, learning algorithms, network architectures, and neuromorphic hardware. Therefore, the book provides readers with easy access to both the foundational concepts and recent research findings in SNNs.

    • Modern Assembly Language Programming with the ARM Processor

      • 2nd Edition
      • May 22, 2024
      • Larry D Pyeatt
      • English
      • Paperback
        9 7 8 0 4 4 3 1 4 1 1 4 0
      • eBook
        9 7 8 0 4 4 3 1 4 1 1 5 7
      Modern Assembly Language Programming with the ARM Processor, Second Edition is a tutorial-based book on assembly language programming using the ARM processor. It presents the concepts of assembly language programming in different ways, slowly building from simple examples towards complex programming on bare-metal embedded systems. The ARM processor was chosen as it has fewer instructions and irregular addressing rules to learn than most other architectures, allowing more time to spend on teaching assembly language programming concepts and good programming practice.Careful consideration is given to topics that students struggle to grasp, such as registers vs. memory and the relationship between pointers and addresses, recursion, and non-integral binary mathematics. A whole chapter is dedicated to structured programming principles. Concepts are illustrated and reinforced with many tested and debugged assembly and C source listings. The book also covers advanced topics such as fixed- and floating-point mathematics, optimization, and the ARM VFP and NEONTM extensions.

    • Artificial Intelligence and Machine Learning for Women’s Health Issues

      • 1st Edition
      • April 26, 2024
      • Meenu Gupta + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 8 8 9 7
      • eBook
        9 7 8 0 4 4 3 2 1 8 9 0 3
      Artificial Intelligence and Machine Learning for Women’s Health Issues discusses the applications, challenges, and solutions that machine learning can bring to women’s health challenges. The book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning which enhance the future healthcare system. This book's primary focus is on women’s health issues and machine learning's role in providing solutions to these challenges, providing novel ideas for feasible implementation. It also provides an early-stage analysis for early diagnosis of women’s health issues.

    • The Metaverse and Smart Cities

      • 1st Edition
      • February 28, 2024
      • Zaheer Allam + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 2 3 5 1 8
      • eBook
        9 7 8 0 4 4 3 2 2 3 5 0 1
      The Metaverse and Smart Cities: Urban Environments in the Age of Digital Connectivity explores the intersection between the rapidly growing metaverse and the future of cities. The metaverse is a virtual world that is increasingly gaining attention as a new frontier for human interaction and commerce. At the same time, cities are undergoing significant transformation as they face challenges such as population growth, urbanization, and environmental degradation. Urban planners and city administrators will find valuable insights on how the metaverse can be integrated into the planning and development of smart, sustainable, and future cities.The book begins with an introduction to the concepts and technology of the metaverse as well as its history. It then sheds light on the current and future challenges and opportunities that the metaverse presents to cities and the quality of life of urban dwellers. It delves into the ways in which the metaverse can change cities, both in terms of their physical and virtual environments, and the impact it can have on the lives of those who live in them. It brings together the latest research and perspectives from experts in the fields of virtual reality, urban planning, and sustainability, to provide a comprehensive and up-to-date picture of this rapidly evolving field.

    • Machine Learning with Noisy Labels

      • 1st Edition
      • February 23, 2024
      • Gustavo Carneiro
      • English
      • Paperback
        9 7 8 0 4 4 3 1 5 4 4 1 6
      • eBook
        9 7 8 0 4 4 3 1 5 4 4 2 3
      Machine Learning and Noisy Labels: Definitions, Theory, Techniques and Solutions provides an ideal introduction to machine learning with noisy labels that is suitable for senior undergraduates, post graduate students, researchers and practitioners using, and researching, machine learning methods. Most of the modern machine learning models based on deep learning techniques depend on carefully curated and cleanly labeled training sets to be reliably trained and deployed. However, the expensive labeling process involved in the acquisition of such training sets limits the number and size of datasets available to build new models, slowing down progress in the field. This book defines the different types of label noise, introduces the theory behind the problem, presents the main techniques that enable the effective use of noisy-label training sets, and explains the most accurate methods.

    • The Essential Criteria of Graph Databases

      • 1st Edition
      • January 16, 2024
      • Ricky Sun
      • English
      • Paperback
        9 7 8 0 4 4 3 1 4 1 6 2 1
      • eBook
        9 7 8 0 4 4 3 1 4 1 6 3 8
      The Essential Criteria of Graph Databases collects several truly innovative graph applications in asset-liability and liquidity risk management to spark readers’ interest and further broaden the reach and applicable domains of graph systems. Although AI has incredible potential, it has three weak links: 1. Blackbox, lack of explainability, 2. Silos, slews of siloed systems across the AI ecosystem, 3. Low-performance, as most of ML/DL based AI systems are SLOW. Hence, fixing these problems paves the road to strong and effective AI.

    • Securing Next-Generation Connected Healthcare Systems

      • 1st Edition
      • May 14, 2024
      • Deepak Gupta + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 9 5 1 2
      • eBook
        9 7 8 0 4 4 3 1 3 9 5 2 9
      Securing Next-Generation Connected Healthcare Systems: Artificial Intelligence Technologies focuses on the crucial aspects of IoT security in a connected environment, which will not only benefit from cutting-edge methodological approaches but also assist in the rapid scalability and improvement of these systems. This book shows how to utilize technologies like blockchain and its integration with IoT for communication, data security, and trust management. It introduces the security aspect of next generation technologies for healthcare, covering a wide range of security and computing methodologies.Resear... data scientists, students, and professionals interested in the application of artificial intelligence in healthcare management, data security of connected healthcare systems and related fields, specifically on data intensive secured systems and computing environments, will finds this to be a welcomed resource.

    • Cognitive Science, Computational Intelligence, and Data Analytics

      • 1st Edition
      • June 6, 2024
      • Vikas Khare + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 6 0 7 8 3
      • eBook
        9 7 8 0 4 4 3 1 6 0 7 9 0
      Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book's focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems.The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader's needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented.

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