logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Internet Of Things Enabled Machine Learning For Biomedical Applications Neha Goel Ravindra Kumar Yadav

  • SKU: BELL-62758224
Internet Of Things Enabled Machine Learning For Biomedical Applications Neha Goel Ravindra Kumar Yadav
$ 31.00 $ 45.00 (-31%)

4.0

16 reviews

Internet Of Things Enabled Machine Learning For Biomedical Applications Neha Goel Ravindra Kumar Yadav instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 14.08 MB
Author: Neha Goel & Ravindra Kumar Yadav
ISBN: 9781032550824, 1032550821
Language: English
Year: 2024

Product desciption

Internet Of Things Enabled Machine Learning For Biomedical Applications Neha Goel Ravindra Kumar Yadav by Neha Goel & Ravindra Kumar Yadav 9781032550824, 1032550821 instant download after payment.

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.

Related Products