Books in Computer science

11-20 of 3182 results in All results

Data Analytics for Intelligent Transportation Systems

2nd Edition
November 1, 2024
Mashrur Chowdhury + 2 more
English
Paperback
9 7 8 - 0 - 4 4 3 - 1 3 8 7 8 - 2
eBook
9 7 8 - 0 - 4 4 3 - 1 3 8 7 9 - 9

Data Analytics for Intelligent Transportation Systems, Second Edition provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Other sections provide extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies.All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. In addition, they will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning.

Medical Oncology Compendium

1st Edition
November 1, 2024
Ramon Andrade B de Mello
English
Paperback
9 7 8 - 0 - 4 4 3 - 1 5 6 0 9 - 0
eBook
9 7 8 - 0 - 4 4 3 - 1 5 6 0 8 - 3

Medical Oncology Compendium discusses several important topics in oncology with the help of leading experts worldwide who incorporate not only knowledge on recent developments in the field, but contextualize them within diverse socioeconomic environments to guarantee the applicability of the content in challenging scenarios. The book comprehensively discusses topics such as surgery, radiology, carcinogenesis, screening, assessment tools, evidence-based medicine, and precision oncology as applicable to different cancer types as non-small and small cell lung cancer, mesothelioma, breast cancer, gastric-rectal cancer, female specific cancers, prostate, skin and bone sarcomas.In addition, it discusses options to minimize oncology pain and palliative care. It is a valuable resource for oncologists, clinicians, researchers, healthcare workers and members of biomedical field who needs to understand more about diagnosis, treatment options and support for cancer patients.

Computational Tools for Energy Harvesting Applications

1st Edition
November 1, 2024
Abhishek Sharma + 3 more
English
Paperback
9 7 8 - 0 - 4 4 3 - 1 6 0 6 0 - 8
eBook
9 7 8 - 0 - 4 4 3 - 1 6 0 6 1 - 5

Computational Tools for Energy Harvesting Applications presents the latest applications of energy harvesting methods for renewable energy systems. The book provides readers with the computational tools and algorithms for energy harvesting, explaining the mathematical basis behind their development and application and analyzing the latest developments. Each chapter provides a review of the fundamentals and basic theory behind each energy harvester, the working principles, and the latest practical applications.The mathematical techniques and computational tools are provided for response analysis and optimization of diverse energy harvesters, including from fixed renewable energy systems – wind, solar, etc. – and portable devices such as PEM fuel cells. This is a valuable reference for students and researchers working in the field of renewable energy harvesting and its application, as well as electrical and mechanical engineers.

Primer to Neuromorphic Computing

1st Edition
November 1, 2024
Harish Garg + 3 more
English
Paperback
9 7 8 - 0 - 4 4 3 - 2 1 4 8 0 - 6
eBook
9 7 8 - 0 - 4 4 3 - 2 1 4 8 2 - 0

Primer to Neuromorphic Computing highlights critical and ongoing research into the diverse applications of neuromorphic computing. It includes an overview of primary scientific concepts for the research topic of neuromorphic computing, such as neurons as computational units, artificial intelligence, machine learning, and neuromorphic models. It also discusses the fundamental design method and organization of neuromorphic architecture.Hardware for neuromorphic systems can be developed by exploiting the magnetic properties of different materials. These systems are more energy efficient and enable faster computation . Magnetic tunnel junctions and magnetic textures can be employed to act as neurons and synapses. Neuromorphic systems have general intelligence like humans as they can apply knowledge gained in one domain to other domains.

Human-Centred Metaverse

1st Edition
November 1, 2024
Chang S. Nam + 2 more
English
Paperback
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eBook
9 7 8 - 0 - 4 4 3 - 2 1 9 9 7 - 9

Human-centered Metaverse: Concepts, Methods, and Applications is a valuable resource in the understanding of the metaverse and the factors that influence human-AI interaction. It provides an up-to-date repository of theory, fundamentals, techniques, and diverse applications and comprehensively addresses the recent and rapid changes in the field of human-centred metaverse.Interest in the human-centred metaverse has grown enormously, including from researchers and practitioners in the areas of extended reality (e.g., VR, AR, MR, etc.), learning technologies, human-computer interaction, education, psychology and sociology, and philosophy.

Intelligent Biomedical Technologies and Applications for Healthcare 5.0

1st Edition
Volume 17
November 1, 2024
Lalit Garg + 3 more
English
Paperback
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eBook
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Intelligent Biomedical Technologies and Applications for Healthcare 5.0, Volume Seventeen 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

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. In addition, applying advanced signal processing techniques demands high processing latency. As these challenges cannot be effectively tackled by traditional design methods, there is a need for the wide adoption of powerful deep learning techniques that have the potential to achieve automatic structure extraction, thereby effectively supporting low-latency communications.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.

Python Forensics

2nd Edition
November 1, 2024
Chet Hosmer
English
Paperback
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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.

Agent-Based Models with MATLAB

1st Edition
November 1, 2024
Erik Cuevas + 3 more
English
Paperback
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eBook
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As the world becomes more complicated and linked, many of our research questions can no longer be answered using straightforward models. Agent-Based Models with MATLAB introduces one of the most important methodologies for complex systems modeling, called Agent-Based Modeling (ABM), using computational implementations and accompanying MATLAB software code as a means of inspiring readers to apply agent-based models to solve a diverse range of problems. Observing the implementation of a particular approach through code can be helpful for readers, even those with strong mathematical abilities, as it eliminates ambiguities and uncertainties, making the material easier to grasp and communicate. The book comes with a large amount of software code accompanying the main text, and the modeling systems described in the book are implemented using MATLAB as the programming language. Despite the heavy mathematical components of Agent-Based Models and complex systems, it is possible to utilize these models without in-depth understanding of their mathematical fundamentals. For many readers, a more feasible goal is to grasp the concepts of these models through programming instead of mathematical formulations. Agent-Based Models with MATLAB enables computer scientists, mathematicians, researchers and engineers to apply ABM in a wide range of research and engineering applications. The book gradually advances from basic to more advanced methods, while reinforcing understanding of complex systems through practical, hands-on applications of various computational models.

IoMT Applications in Healthcare 5.0

1st Edition
November 1, 2024
English
Paperback
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eBook
9 7 8 - 0 - 4 4 3 - 3 0 1 5 8 - 2

IoMT Applications in Healthcare 5.0 comprises six 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 delves into the security and privacy considerations of IoMT in healthcare. It addresses the advantages and challenges, advocating for the use of blockchain technology and machine learning to enhance security. Chapter 5 addresses overcoming challenges and future directions in IoMT. Chapter 6 concludes the book by summarizing its key findings, providing a comprehensive overview of the discussed topics.