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This book discusses the various machine learning, deep learning, big data and internet of things technologies for healthcare. The book is primarily aimed at graduates and researchers studying emerging technologies in healthcare. Industry and medical professionals will also find this book helpful.
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Dr. Govind Singh Patel has done PhD in Electronics and Communication Engineering from Thapar University, Patiala, India. He is working as a Professor in Electronics and Telecommunication Engineering, SITCOE, Kolhapur, MH, India. He has published more than 77 papers in National and International Journals. He is a reviewer of many international journals like Springer, JCTN etc.
Prof. (Dr.) Seema Nayak is presently working as Professor and Head of department of Electronics & Communication Engineering at IIMT College of engineering , Greater Noida. Dr. Seema Nayak did her Bachelors in Electronics & Communication Engineering from Maharastra and PhD MRIU, Faridabad. Her research area is Digital signal processing. She has many publications in referred journals and international confereces. She has filed two patents. She is also Editor and Reviewer of many journals. She has 23 years of academic experience. She received grants for conferences, FDP from AICTE, AKTU, ISTE. She is member of IEI , IAENG Society. She has published research paper in many reputed journals.
Dr.Sunil Kumar Chaudhary graduated (B.E) from Nagpur University in 1996 in Electronics, completed his post graduated (M.E.) in Electrical Engineering,(Power Electronics, Electric Machines and Electric Drives) from M.D. University, Haryana in the year 2006 and completed Ph.D. in Electrical Engineering, from Jamia Millia Islamia, New Delhi in 2014. Presently working as Professor in Electrical Engineering Department, Galgotia College of Engineering (GCET), Greater Noida. His employment experience includes Lingaya Institute of Management and Technology (LIMAT) Faridabad, Haryana, Manav Rachna College of Engineering (MRCE), Faridabad, Haryana, Greater Noida Institute of Technology (GNIOT), Greater Noida, U.P., Gautam Budha University (GBU), Greater Noida.
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Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare
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Taylor & Francis Ltd, 2024
ISBN 10: 1032130865
ISBN 13: 9781032130866
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Machine learning, deep learning, big data, and internet of things for healthcare
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Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare
Verlag:
Taylor & Francis Ltd, 2024
ISBN 10: 1032130865
ISBN 13: 9781032130866
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Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare (Paperback)
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Paperback. Zustand: new. Paperback. This book reviews that narrate the development of current technologies under the theme of the emerging concept of healthcare, specifically in terms of what makes healthcare more efficient and effective with the help of high-precision algorithms. The mechanism that drives it is machine learning, deep learning, big data, and Internet of Things (IoT)the scientific field that gives machines the ability to learn without being strictly programmed. It has emerged together with big data technologies and high-performance computing to create new opportunities to unravel, quantify, and understand data-intensive processes in healthcare operational environments.This book offers comprehensive coverage of the most essential topics, including:Introduction to e-monitoring for healthcareCase studies based on big data and healthcareIntelligent learning analytics in healthcare sectors using machine learning and IoTIdentifying diseases and diagnosis using machine learning and IoTDeep learning architecture and framework for healthcare using IoTKnowledge discovery from big data of healthcare-related processingBig data and IoT in healthcareRole of IoT in sustainable healthcareA heterogeneous IoT-based application for remote monitoring of physiological and environmental parameters This book discusses the various machine learning, deep learning, big data and internet of things technologies for healthcare. The book is primarily aimed at graduates and researchers studying emerging technologies in healthcare. Industry and medical professionals will also find this book helpful. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9781032130866
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