Books in Computer science

91-100 of 3083 results in All results

Artificial Intelligence for Medicine

1st Edition
March 14, 2024
Shai Ben- David + 5 more
English
Paperback
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eBook
9 7 8 - 0 - 4 4 3 - 1 3 6 7 2 - 6

Artificial Intelligence for Medicine: An Applied Reference for Methods and Applications introduces readers to the methodology and AI/ML algorithms as well as cutting-edge applications to medicine, such as cancer, precision medicine, critical care, personalized medicine, telemedicine, drug discovery, molecular characterization, and patient mental health. Research in medicine and tailored clinical treatment are being quickly transformed by artificial intelligence (AI) and machine learning (ML). The content in this book is tailored to the reader's needs in terms of both type and fundamentals. It covers the current ethical issues and potential developments in this field.This book will be beneficial for academics, professionals in the IT industry, educators, students, and anyone else involved in the use and development of AI in the medical field.

Data Fusion Techniques and Applications for Smart Healthcare

1st Edition
March 12, 2024
Amit Kumar Singh + 1 more
English
Paperback
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eBook
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Data Fusion Techniques and Applications for Smart Healthcare covers cutting-edge research from both academia and industry, with a particular emphasis on recent advances in algorithms and applications that involve combining multiple sources of medical information. The book can be used as a reference for practicing engineers, scientists, and researchers, but it will also be useful for graduate students and practitioners from government and industry as well as healthcare technology professionals working on state-of-the-art information fusion solutions for healthcare applications.Medical data exists in several formats, from structured data and medical reports to 1D signals, 2D images, 3D volumes, or even higher dimensional data such as temporal 3D sequences. Healthcare experts can make auscultation reports in text format; electrocardiograms can be printed in time series format, X-rays saved as images; volume can be provided through angiography; temporal information by echocardiograms, and 4D information extracted through flow MRI.

Deep Learning Applications in Translational Bioinformatics

1st Edition
Volume 15
March 7, 2024
Khalid Raza + 3 more
English
Paperback
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eBook
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Deep Learning Applications in Translational Bioinformatics, a new volume in the Advances in Ubiquitous Sensing Application for Healthcare series, offers a detailed overview of basic bioinformatics, deep learning, and various applications of deep learning in translational bioinformatics, including deep learning ensembles, deep learning in protein classification, detection of various diseases, prediction of antiviral peptides, identification of antibiotic resistance, computer aided drug design and drug formulation. This new volume helps researchers working in the field of machine learning and bioinformatics foster future research and development.

Sequences and the de Bruijn Graph

1st Edition
February 29, 2024
Tuvi Etzion
English
Paperback
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eBook
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Sequences and the de Bruijn Graph: Properties, Constructions, and Applications explores the foundations of theoretical mathematical concepts and their important applications to computer science, electrical engineering, and bioinformatics. The book introduces the various concepts, ideas, and techniques associated with the use of the de Bruijn Graph, providing comprehensive coverage of sequence classification, one-dimensional and two-dimensional properties, constructions, and interconnection networks. This book is suitable for researchers, graduate students, professors, and professionals working in the fields of applied mathematics, electrical engineering, computer science, and bioinformatics.The de Bruijn graph was defined in 1946 to enumerate the number of closed sequences where each n-tuple appears exactly once as a window in a sequence. Through the years, the graph and its sequences have found numerous applications – in space technology, wireless communication, cryptography, parallel computation, genome assembly, DNA storage, and microbiome research, among others.

The Metaverse and Smart Cities

1st Edition
February 28, 2024
Zaheer Allam + 1 more
English
Paperback
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eBook
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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
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eBook
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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.

Curcumin-Based Nanomedicines as Cancer Therapeutics

1st Edition
February 21, 2024
Amirhossein Sahebkar + 1 more
English
Paperback
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eBook
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Curcumin-based Nanomedicines as Cancer Therapeutics presents a consistent and thorough overview of nanocurcumin applications in cancer treatments. It brings together the novel applications of nanocurcumin in biological milieu as well as helps readers to define the major gaps in knowledge that can lead to significant scientific discoveries. Nanocurcumin has been widely explored for the treatment of various cancers; however, the scientific literature is inconsistent in style and structure and scattered across many sources. By providing an explicit account on vital aspects on nanocurcumin-based anticancer delivery approaches and discussing the perspectives of the technologies explored so far based upon the findings outlined, the book offers updated and in-depth knowledge on the topic in one single source written by global leading experts. In addition, the book aims to stimulate the interest of the academic researchers, industrial scientists, businessmen, and young scholars to address key multidisciplinary challenges faced by nanotechnologists to foster the desired collaboration among biologists, chemists, physicists, engineers, and clinicians to find proper and efficient new cancer treatments.

Intelligent Learning Approaches for Renewable and Sustainable Energy

1st Edition
February 21, 2024
Josep M. Guerrero + 3 more
English
Paperback
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eBook
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Intelligent Learning Approaches for Renewable and Sustainable Energy provides a practical, systematic overview of the application of advanced intelligent control techniques, adaptive techniques, machine learning algorithms, and predictive control in renewable and sustainable energy. Sections introduce intelligent learning approaches and the roles of artificial intelligence and machine learning in terms of energy and sustainability, grid transformation, large-scale integration of renewable energy, and variability and flexibility of renewable sources. Other sections provide detailed coverage of intelligent learning techniques as applied to key areas of renewable and sustainable energy, including forecasting, supply and demand, integration, energy management, optimization, and more.This is a useful resource for researchers, scientists, advanced students, energy engineers, R&D professionals, and other industrial personnel with an interest in sustainable energy and integration of renewable energy sources, energy systems, energy engineering, machine learning, and artificial intelligence.

Putting AI in the Critical Loop

1st Edition
February 20, 2024
Prithviraj Dasgupta + 6 more
English
Paperback
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eBook
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Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams takes on the primary challenges of bidirectional trust and performance of autonomous systems, providing readers with a review of the latest literature, the science of autonomy, and a clear path towards the autonomy of human-machine teams and systems. Throughout this book, the intersecting themes of collective intelligence, bidirectional trust, and continual assurance form the challenging and extraordinarily interesting themes which will help lay the groundwork for the audience to not only bridge knowledge gaps, but also to advance this science to develop better solutions. The distinctively different characteristics and features of humans and machines are likely why they have the potential to work well together, overcoming each other's weaknesses through cooperation, synergy, and interdependence which forms a “collective intelligence.” Trust is bidirectional and two-sided; humans need to trust AI technology, but future AI technology may also need to trust humans.

Artificial Intelligence and Machine Learning for Open-world Novelty

1st Edition
Volume 134
February 19, 2024
Ganesh Chandra Deka + 1 more
English
Hardback
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eBook
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Artificial Intelligence and Machine Learning for Open-world Novelty, Volume 134 in the Advances in Computers series presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on AI and Machine Learning for Real-world problems, Graph Neural Network for learning complex problems, Adaptive Software platform architecture for Aerial Vehicle Safety Levels in real-world applications, OODA Loop for Learning Open-world Novelty Problems, Privacy-Aware Crowd Counting Methods for Real-World Environment, AI and Machine Learning for 3D Computer Vision Applications in Open-world, and PIM Hardware accelerators for real-world problems.Other sections cover Irregular Situations in Real-World Intelligent Systems, Offline Reinforcement Learning Methods for Real-world Problems, Addressing Uncertainty Challenges for Autonomous Driving in Real-World Environments, and more.