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Artificial Intelligence and Machine Learning for Edge Computing, Pandey Rajiv, Khatri Sunil Kumar, Singh Neeraj Kumar


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Цена: 147100.00T
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При оформлении заказа до: 2025-07-28
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Автор: Pandey Rajiv, Khatri Sunil Kumar, Singh Neeraj Kumar
Название:  Artificial Intelligence and Machine Learning for Edge Computing
ISBN: 9780128240540
Издательство: Elsevier Science
Классификация:
ISBN-10: 0128240547
Обложка/Формат: Paperback
Страницы: 516
Вес: 1.18 кг.
Дата издания: 26.04.2022
Язык: English
Размер: 27.94 x 21.59 x 2.64 cm
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms.

Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering.



Applied Biomedical Engineering Using Artificial Intelligence And Cognitive Models

Автор: Garza Ulloa Jorge
Название: Applied Biomedical Engineering Using Artificial Intelligence And Cognitive Models
ISBN: 0128207183 ISBN-13(EAN): 9780128207185
Издательство: Elsevier Science
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Цена: 176290.00 T
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Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body.

The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body.

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB(R) and IBM Watson(R).


Handbook of Artificial Intelligence in Biomedical Engineering

Название: Handbook of Artificial Intelligence in Biomedical Engineering
ISBN: 1771889209 ISBN-13(EAN): 9781771889209
Издательство: Taylor&Francis
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Цена: 137910.00 T
Наличие на складе: Есть
Описание: Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field.

Artificial Intelligence To Solve Pervasive Internet Of Things Issues

Автор: Kaur, Gurjit
Название: Artificial Intelligence To Solve Pervasive Internet Of Things Issues
ISBN: 0128185767 ISBN-13(EAN): 9780128185766
Издательство: Elsevier Science
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Цена: 132500.00 T
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Описание:

Integrating Artificial Intelligence (AI) is pivotal in increasing the performance of Internet of Things (IoT) devices and systems (i.e., sensors, actuators, and closed-circuit television or video surveillance systems). When these devices/systems are properly configured and implemented, AI can interact with other decentralized IoT devices and systems on the infrastructure. Artificial Intelligence to Solve Pervasive Internet of Things Issues csover wide-ranging technology areas along with their applications and challenges. It also includes architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. These chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others.


Biomedical Signal Processing With Artificial Intelligence

Автор: Zgallai, Walid A.
Название: Biomedical Signal Processing With Artificial Intelligence
ISBN: 0128189460 ISBN-13(EAN): 9780128189467
Издательство: Elsevier Science
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Цена: 132500.00 T
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Описание:

Biomedical Signal Processing and Artificial Intelligence in Healthcare is a new volume in the Developments in Biomedical Engineering and Bioelectronics series. This volume covers the basics of biomedical signal processing and artificial intelligence. It explains the role of machine learning in relation to processing biomedical signals and the applications in medicine and healthcare. The book provides background to statistical analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Deep Learning, Neural Networks, and the implications of the expansion of artificial intelligence is covered. Biomedical Images are also introduced and processed, including segmentation, classification, and detection. This book covers different aspects of signals, from the use of hardware and software, and making use of artificial intelligence in problem solving.

Dr Zgallai's book has up to date coverage where readers can find the latest information, easily explained, with clear examples and illustrations. The book includes examples on the application of signal and image processing employing artificial intelligence to Alzheimer, Parkinson, ADHD, autism, and sleep disorders, as well as ECG and EEG signals. Developments in Biomedical Engineering and Bioelectronics is a 10-volume series which covers recent developments, trends and advances in this field. Edited by leading academics in the field, and taking a multidisciplinary approach, this series is a forum for cutting-edge, contemporary review articles and contributions from key 'up-and-coming' academics across the full subject area. The series serves a wide audience of university faculty, researchers and students, as well as industry practitioners.


Medical applications of artificial intelligence

Название: Medical applications of artificial intelligence
ISBN: 1138072273 ISBN-13(EAN): 9781138072275
Издательство: Taylor&Francis
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Цена: 78590.00 T
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Описание:

Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to succeed, medical and computational scientists must develop hybrid systems that can effectively and efficiently integrate the experience of medical care professionals with capabilities of AI systems.

After providing a general overview of artificial intelligence concepts, tools, and techniques, Medical Applications of Artificial Intelligence reviews the research, focusing on state-of-the-art projects in the field. The book captures the breadth and depth of the medical applications of artificial intelligence, exploring new developments and persistent challenges.


Artificial Intelligence in the Age of Neural Networks and Brain Computing

Автор: Kozma, Robert
Название: Artificial Intelligence in the Age of Neural Networks and Brain Computing
ISBN: 0128154802 ISBN-13(EAN): 9780128154809
Издательство: Elsevier Science
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Цена: 149340.00 T
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Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book.

  • Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN)
  • Authored by top experts, global field pioneers and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making
  • Edited by high-level academics and researchers in intelligent systems and neural networks

The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care

Автор: Siarry Patrick, Jabbar M. A., Aluvalu Rajanikanth
Название: The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care
ISBN: 3030752194 ISBN-13(EAN): 9783030752194
Издательство: Springer
Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector.

Artificial Intelligence in Health

Автор: Fernando Koch; Andrew Koster; David Ria?o; Sara Mo
Название: Artificial Intelligence in Health
ISBN: 3030127370 ISBN-13(EAN): 9783030127374
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed post-conference proceedings of the First International Workshop on Artificial Intelligence in Health, AIH 2018, in Stockholm, Sweden, in July 2018.

Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging

Автор: Kenji Suzuki; Yisong Chen
Название: Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
ISBN: 3319688421 ISBN-13(EAN): 9783319688428
Издательство: Springer
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Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.

Brain-Computer Interfacing

Автор: Rao, Rajesh P. N.
Название: Brain-Computer Interfacing
ISBN: 0521769418 ISBN-13(EAN): 9780521769419
Издательство: Cambridge Academ
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Цена: 82370.00 T
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Описание: This introduction to the field of brain-computer interfacing is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used as a reference by neuroscientists, computer scientists, engineers, and medical practitioners.

Artificial intelligence for computational modeling of the heart

Автор: Mansi, Tommaso Passerini, Tiziano
Название: Artificial intelligence for computational modeling of the heart
ISBN: 012817594X ISBN-13(EAN): 9780128175941
Издательство: Elsevier Science
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Цена: 132500.00 T
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Описание:

Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient's heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications.

  • Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications
  • Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data
  • Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation

Handbook of Artificial Intelligence in Healthcare: Vol. 1 - Advances and Applications

Автор: Lim Chee-Peng, Vaidya Ashlesha, Jain Kiran
Название: Handbook of Artificial Intelligence in Healthcare: Vol. 1 - Advances and Applications
ISBN: 3030791602 ISBN-13(EAN): 9783030791605
Издательство: Springer
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Цена: 167700.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context.


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