Description: Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics by Sujata Dash, Subhendu Kumar Pani, Babita Majhi, Joel J.P.C. Rodrigues Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IOT and Machine Learning based biomedical and health related applications. Publisher Description Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others.• Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications• Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches• Discusses various techniques of IoT systems for healthcare data analytics• Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics• Focuses more on the application of algorithms in various real life biomedical and engineering problems Author Biography Sujata Dash is an Associate Professor at P.G. Department of Computer Science & Application, North Orissa University, at Baripada, India. Subhendu Kumar Pani is a Professor in the Department of Computer Science Engineering and also Research coordinator at Orissa Engineering College (OEC) Bhubaneswar. Joel J. P. C. Rodrigues is a Professor at the Federal University of Piauí, Brazil; and senior researcher at the Instituto de Telecomunicações, Portugal. Babita Majhi is an Assistant Professor in the department of Computer Science and Information Technology, Guru Ghasidas Vishwavidyalaya, Central University, Bilaspur, India. Details ISBN 0367548461 ISBN-13 9780367548469 Title Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics Author Sujata Dash, Subhendu Kumar Pani, Babita Majhi, Joel J.P.C. Rodrigues Format Paperback Year 2024 Pages 362 Publisher Taylor & Francis Ltd GE_Item_ID:160477509; About Us Grand Eagle Retail is the ideal place for all your shopping needs! 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Price: 77.05 USD
Location: Fairfield, Ohio
End Time: 2024-12-05T15:30:35.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9780367548469
Book Title: Deep Learning, Machine Learning and IoT in Biomedical and Health
Number of Pages: 362 Pages
Language: English
Publication Name: Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics : Techniques and Applications
Publisher: CRC Press LLC
Publication Year: 2024
Subject: Biotechnology, Machine Theory, Probability & Statistics / General, General
Type: Textbook
Item Weight: 25.2 Oz
Subject Area: Mathematics, Computers, Science, Medical
Item Length: 9.2 in
Author: Subhendu Kumar Pani
Series: Biomedical Engineering Ser.
Item Width: 6.1 in
Format: Trade Paperback