ISBN: 9781032783925 - internet of things enabled machine learning for biomedical applications (8 resultados)

Condición: New.

Paperback. Condición: Brand New. 410 pages. 6.14x0.96x9.21 inches. In Stock.

Condición: New. Dr. Neha Goel is working as Professor in the Department of Electronics &amp Communication Engineering, RKGIT, Ghaziabad, India. She has Ph.D. degree from SRM University, Chennai, in 2019. She has 18 years of rich experience in teaching and research and .

Taschenbuch. Condición: Neu. Neuware - The text begins by highlighting the benefits of the Internet of Things-enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and analyzes security and privacy issues in the healthcare systems using the Internet of Things. The text elaborates on image processing implementation for medical images to detect and classify diseases based on magnetic resonance imaging and ultrasound images.This book: - Covers the procedure to recognize emotions using image processing and the Internet of Things-enabled machine learning - Highlights security and privacy issues in the healthcare system using the Internet of Things - Discusses classification and implementation techniques of image segmentation - Explains different algorithms of machine learning for image processing in a comprehensive manner - Provides computational intelligence on the Internet of Things for future biomedical applications including lung cancer It is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.…

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Paperback. Condición: new. Paperback. The text begins by highlighting the benefits of the Internet of Things-enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and analyzes security and privacy issues in the healthcare systems using the Internet of Things. The text elaborates on image processing implementation for medical images to detect and classify diseases based on magnetic resonance imaging and ultrasound images.This book:Covers the procedure to recognize emotions using image processing and the Internet of Things-enabled machine learningHighlights security and privacy issues in the healthcare system using the Internet of ThingsDiscusses classification and implementation techniques of image segmentationExplains different algorithms of machine learning for image processing in a comprehensive mannerProvides computational intelligence on the Internet of Things for future biomedical applications including lung cancerIt is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering. The text begins by highlighting the benefits of the internet of things enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and examines security and privacy issues in the healthcare systems using the internet of things. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…