Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics: Techniques and Applications
382Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics: Techniques and Applications
382Hardcover
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Overview
• 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
Product Details
ISBN-13: | 9780367544256 |
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Publisher: | CRC Press |
Publication date: | 02/11/2022 |
Series: | Biomedical Engineering |
Pages: | 382 |
Product dimensions: | 6.12(w) x 9.19(h) x (d) |
About the Author
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.