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Artificial intelligence in sport performance analysis, Araujo, Duarte (technical University Of Lisbon, Portugal) Couceiro, Micael S (university Of Lisbon, Portugal) Seifert, Ludovic (universite De Rouen,


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Цена: 5664.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Araujo, Duarte (technical University Of Lisbon, Portugal) Couceiro, Micael S (university Of Lisbon, Portugal) Seifert, Ludovic (universite De Rouen,
Название:  Artificial intelligence in sport performance analysis
ISBN: 9780367254377
Издательство: Taylor&Francis
Классификация:

ISBN-10: 0367254379
Обложка/Формат: Paperback
Страницы: 196
Вес: 0.32 кг.
Дата издания: 21.04.2021
Язык: English
Иллюстрации: 4 tables, black and white; 23 line drawings, black and white; 1 halftones, black and white; 24 illustrations, black and white
Размер: 151 x 226 x 17
Читательская аудитория: Undergraduate
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Поставляется из: Европейский союз
Описание: Artificial Intelligence in Sport Performance Analysis provides an all-encompassing perspective in an innovative approach that signals practical applications for both academics and practitioners in the fields of coaching, sports analysis, sport science as well as related subjects such as engineering, mathematics and statistics


Paradigms of Artificial Intelligence Programming,

Автор: Peter Norvig
Название: Paradigms of Artificial Intelligence Programming,
ISBN: 1558601910 ISBN-13(EAN): 9781558601918
Издательство: Elsevier Science
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Цена: 9599.00 р.
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Описание: Paradigms of AI Programming teaches advanced Common Lisp techniques in the context of building major AI systems.

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: 22359.00 р.
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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.

Transforming Healthcare with Big Data and AI

Автор: Alex Lui, Anna Farzinder, Mingboo Gong
Название: Transforming Healthcare with Big Data and AI
ISBN: 1641138971 ISBN-13(EAN): 9781641138970
Издательство: Mare Nostrum (Eurospan)
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Цена: 7069.00 р.
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Описание: Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.

This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.

AI and Human Thought and Emotion

Автор: Sam Freed
Название: AI and Human Thought and Emotion
ISBN: 0367029294 ISBN-13(EAN): 9780367029296
Издательство: Taylor&Francis
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Цена: 16078.00 р.
Наличие на складе: Поставка под заказ.

Описание: This reference work examines how human thought processes and emotion can be captured by artificial intelligence (AI) algorithms and code. It provides a theoretical framework and demonstrates how code can be generate on the basis of the framework.

Lean AI: How Innovative Startups Use Artificial Intelligence to Grow

Автор: Patel Lomit
Название: Lean AI: How Innovative Startups Use Artificial Intelligence to Grow
ISBN: 1492059315 ISBN-13(EAN): 9781492059318
Издательство: Wiley
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Цена: 6334.00 р.
Наличие на складе: Поставка под заказ.

Описание: With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company.

Artificial Intelligence In Healthcare

Автор: Bohr, Adam
Название: Artificial Intelligence In Healthcare
ISBN: 0128184388 ISBN-13(EAN): 9780128184387
Издательство: Elsevier Science
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Цена: 16505.00 р.
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Описание:

Artificial Intelligence in Healthcare Data is more than a comprehensive introduction to artificial intelligence and machine learning. The book is split into two sections with an introduction to current healthcare data challenges that is followed by specific applications and case studies. The editors explore how AI is used as a tool in the analysis of healthcare data, specifically focusing on machine learning, deep learning, natural language processing. data privacy, cybersecurity and the ethics. Other sections explore how AI tools can help to interrogate data across a range of healthcare applications, including AI driven wearables and sensors and AI assisted surgery.

This book will be useful for researchers, graduate students and practitioners in computer science, data science, bioinformatics, health informatics, biomedical engineering and clinical engineering.

Автор: Christian Graham
Название: AI Tools and Electronic Virtual Assistants for Improved Business Performance
ISBN: 1799871967 ISBN-13(EAN): 9781799871965
Издательство: Mare Nostrum (Eurospan)
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Цена: 31878.00 р.
Наличие на складе: Нет в наличии.

Описание: Provides relevant theoretical frameworks and the latest empirical research findings on AI history, implementation, and impact. The book explores how AI is helping individuals and businesses be more productive by bringing in new research on AI in business, discussing new innovations, and sharing its application across various industries.

Novel Design and Applications of Robotics Technologies

Автор: Dan Zhang, Bin Wei
Название: Novel Design and Applications of Robotics Technologies
ISBN: 1522552766 ISBN-13(EAN): 9781522552765
Издательство: Mare Nostrum (Eurospan)
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Цена: 29938.00 р.
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Описание: Through expanded intelligence, the use of robotics has fundamentally transformed a variety of fields, including manufacturing, aerospace, medical, social services, and agriculture. Providing successful techniques in robotic design allows for increased autonomous mobility, which leads to a greater productivity level.Novel Design and Applications of Robotics Technologies provides innovative insights into the state-of-the-art technologies in the design and development of robotic technologies and their real-world applications. The content within this publication represents the work of interactive learning, microrobot swarms, and service robots. It is a vital reference source for computer engineers, robotic developers, IT professionals, academicians, and researchers seeking coverage on topics centered on the application of robotics to perform tasks in various disciplines.

Artificial intelligence in healthcare

Автор: Lawry, Tom
Название: Artificial intelligence in healthcare
ISBN: 0367333716 ISBN-13(EAN): 9780367333713
Издательство: Taylor&Francis
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Цена: 6123.00 р.
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Описание: Written for clinical and business leaders in health, this book defines Artificial Intelligence and its role in driving digital transformation to improve clinical, operational and financial outcomes of provider, payer and public health organizations worldwide.

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: 6986.00 р.
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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.

Advancement of Artificial Intelligence in Healthcare Engineering

Автор: Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg
Название: Advancement of Artificial Intelligence in Healthcare Engineering
ISBN: 179982120X ISBN-13(EAN): 9781799821205
Издательство: Mare Nostrum (Eurospan)
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Цена: 39640.00 р.
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Описание: Provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. The book features a range of topics such as genetic algorithms, mobile robotics, and neuroinformatics.

Computational Intelligence for Machine Learning and Healthcare Informatics

Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha
Название: Computational Intelligence for Machine Learning and Healthcare Informatics
ISBN: 3110647826 ISBN-13(EAN): 9783110647822
Издательство: Walter de Gruyter
Цена: 20446.00 р.
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Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.


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