Books in Computer science

31-40 of 3181 results in All results

A Practical Introduction to Virtual Reality

1st Edition
September 1, 2024
Lori Rebenitsch + 2 more
English
Paperback
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eBook
9 7 8 - 0 - 4 4 3 - 1 4 0 3 7 - 2

A Practical Introduction to Virtual Reality: From Concepts to Executables is written for the undergraduate computer science student taking a course in virtual reality. This tutorial-based text is organized so that by the end of the semester students will have created their first VR game, including sound and various interactions. The materials are written from the position of the student and the student’s professor as opposed to the professional with prior graphics experience.Beginning with an introductory chapter covering the ten universal basics necessary for VR coding, the book moves on to such topics as putting together a VR set-up, creating Heads Up displays, building scene trees, learning how to import 3D models and animations, lighting and audio, and more, until by the end of the book, students will have a final project game ready for beta testing and publishing!

Intelligent Computing Techniques in Biomedical Imaging

1st Edition
September 1, 2024
Bikesh Kumar Singh + 1 more
English
Paperback
9 7 8 - 0 - 4 4 3 - 1 5 9 9 9 - 2
eBook
9 7 8 - 0 - 4 4 3 - 1 6 0 0 0 - 4

Intelligent Computing Techniques in Biomedical Imaging: Methods, Case Studies, and Applications provides comprehensive and state-of-the-art applications of Computational Intelligence techniques used in biomedical image analysis for disease detection and diagnosis. The book offers readers a stepwise approach from fundamental to advanced techniques using real-life medical examples and tutorials. The editors have divided the book into five sections, from prerequisites to case studies. Section I presents the prerequisites, where the reader will find fundamental concepts needed for advanced topics covered later in this book. This primarily includes a thorough introduction to Artificial Intelligence, probability theory and statistical learning. The second section covers Computational Intelligence methods for medical image acquisition and pre-processing for biomedical images. In this section, readers will find AI applied to conventional and advanced biomedical imaging modalities such as X-rays, CT scan, MRI, Mammography, Ultrasound, MR Spectroscopy, Positron Emission Tomography (PET), Ultrasound Elastography, Optical Coherence Tomography (OCT), Functional MRI, Hybrid Modalities, as well as pre-processing topics such as medical image enhancement, segmentation, and compression. Section III covers description and representation of medical images. Here the reader will find various categories of features and their relevance in different medical imaging tasks. This section also discusses feature selection techniques based on filter method, wrapper method, embedded method, and more. The fourth section covers Computational Intelligence techniques used for medical image classification, including Artificial Neural Networks, Support Vector Machines, Decision Trees, Nearest Neighbor Classifiers, Random Forest, clustering, extreme learning, Convolution Neural Networks (CNN), and Recurrent Neural Networks. This section also includes a discussion of computer aided diagnosis and performance evaluation in radiology. The final section of Intelligent Computing Techniques in Biomedical Imaging provides readers with a wealth of real-world Case Studies for Computational Intelligence techniques in applications such as neuro-developmental disorders, brain tumor detection, breast cancer detection, bone fracture detection, pulmonary imaging, thyroid disorders, imaging technologies in dentistry, diagnosis of ocular diseases, cardiovascular imaging, and multimodal imaging.

Computational Knowledge Vision

1st Edition
September 1, 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.

The Evolution of Immunotherapy Against Tumors

1st Edition
September 1, 2024
Domenico Ribatti
English
Paperback
9 7 8 - 0 - 4 4 3 - 2 1 7 9 8 - 2
eBook
9 7 8 - 0 - 4 4 3 - 2 1 7 9 9 - 9

The Evolution of Immunotherapy Against Tumors: An Historical Approach summarizes the literature concerning the development of the theory of immune surveillance against tumors. It discusses the evidence for and against this theory, along with the concept of immunoediting. Finally, current approaches in anti-tumor immunotherapy will be analyzed.The immune system plays a major role in the surveillance against tumors. To avoid attack from the immune system, tumor cells develop different strategies to escape immune surveillance. Evidence of immune surveillance comes from both animal models and clinical observations. Mice with a wide variety of immunodeficiencies have a high rate of tumor incidence and are more susceptible to transplanted or chemical carcinogen-induced tumors. Immunosuppressed patients have a high incidence of tumors. However, many patients develop cancer even in the presence of an apparently normal immune system. This indicates that tumor cells can escape immune surveillance.

Digital Technology in Public Health and Rehabilitation Care

1st Edition
September 1, 2024
Raymond Tong + 1 more
English
Paperback
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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.

Developments in Reliability Engineering

1st Edition
August 1, 2024
Mangey Ram
English
Paperback
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eBook
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Developments in Reliability Engineering equips its audience with the necessary information to keep up with the latest original research and state-of-the-art advances in reliability engineering. The book offers an excursus from historical theories and methods to present-world, practical utility of these concepts, along with worked-out examples. Modern systems have become increasingly complex to design and build while the demand for reliability and cost-effective enhancement continues. Robust international competition has further intensified the need for all designers, managers, practitioners, scientists, and engineers to ensure a level of reliability of their products and processes before release at the lowest cost.

Handbook of Robotic Surgery

1st Edition
August 1, 2024
Stênio de Cássio Zequi + 1 more
English
Paperback
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eBook
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Handbook of Robotic Surgery serves as a primer covering the main areas of knowledge in robotic surgery. This comprehensive book provides essential information on all aspects related to robotic surgery, from the present up to the future. Sections range from the historical background of robotic surgery up to more recent and future technological innovations such as remote controls, surgically distant collaboration, simulators, modern surgical robotics, fluorescence guided surgery, and virtual reality. The book also contains sections dedicated to the safety conditions in surgery and patient protection, which will be suitable for surgeons, health professionals, biomedical engineering professionals, and students.

Biomechatronics

2nd Edition
August 1, 2024
Marko B. Popovic
English
Paperback
9 7 8 - 0 - 4 4 3 - 1 3 8 6 2 - 1
eBook
9 7 8 - 0 - 4 4 3 - 1 3 8 6 3 - 8

Biomechatronics is rapidly becoming one of the most influential and innovative research directions defining the 21st century. The second edition Biomechatronics provides a complete and up-to-date account of this advanced subject at the university textbook level. This new edition introduces two new chapters – Animals Biomechatronics and Plants Biomechatronics – highlighting the importance of the rapidly growing world population and associated challenges with food production. Each chapter is co-authored by top experts led by Professor Marko B. Popovic, researcher and educator at the forefront of advancements in this fascinating field. Starting with an introduction to the historical background of Biomechatronics, this book covers recent breakthroughs in artificial organs and tissues, prosthetic limbs, neural interfaces, orthotic systems, wearable systems for physical augmentation, physical therapy and rehabilitation, robotic surgery, natural and synthetic actuators, sensors, and control systems. A number of practice prompts and solutions are provided at the end of the book. The second edition of Biomechatronics is a result of dedicated work of a team of more than 30 contributors from all across the globe including top researchers and educators in the United States (Popovic, Lamkin-Kennard, Herr, Sinyukov, Troy, Goodworth, Johnson, Kaipa, Onal, Bowers, Djuric, Fischer, Ji, Jovanovic, Luo, Padir, Tetreault), Japan (Tashiro, Iraminda, Ohta, Terasawa), Sweden (Boyraz), Turkey (Arslan, Karabulut, Ortes), Germany (Beckerle and Wiliwacher), New Zealand (Liarokapis), Switzerland (Dobrev), and Serbia (Lazarevic).

Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications

1st Edition
August 1, 2024
Siddhartha Bhattacharyya + 3 more
English
Paperback
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eBook
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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.

Decision Making Models

1st Edition
August 1, 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.