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Viac informácií o knihe Machine Learning and the Internet of Medical Things in Healthcare

• Parametre knihy
• Anotácia kniha
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Anotácia knihy

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled health care techniques, offering mathematical and conceptual background on the latest technologies and describing machine learning techniques and the emerging platform of Internet of Medical Things used by practitioners and researchers worldwide. It includes sections on deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT, along with the application of these technologies. Provides an introduction to the Internet of Medical Things through the principles and applications of Machine LearningExplains the functions and applications of Machine Learning in various applications such as ultrasound imaging, biomedical signal processing, robotics and biomechatronicsIncludes coverage of the evolution of healthcare applications with Machine Learning, including Clinical Decision Support Systems, Artificial Intelligence in biomedical engineering, and AI-enabled connected health informatics that are all supported by real-world case studies

Parametre knihy

• Celý názov: Machine Learning and the Internet of Medical Things in Healthcare
• Autor: Mohamed Elhoseny, Akansha Singh
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 290
• EAN: 9780128212295
• ISBN: 0128212292
• ID: 32936443
• Nakladateľ: Elsevier Science Publishing Co Inc
• Hmotnosť: 602 g
• Rozmery: 192 × 231 × 22 mm
• Dátum vydania: 19. April 2021

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