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

Deep Learning And Other Soft Computing Techniques Biomedical And Related Applications 1st Ed 2023 Nguyen Hoang Phuong

  • SKU: BELL-50729668
Deep Learning And Other Soft Computing Techniques Biomedical And Related Applications 1st Ed 2023 Nguyen Hoang Phuong
$ 31.00 $ 45.00 (-31%)

4.1

40 reviews

Deep Learning And Other Soft Computing Techniques Biomedical And Related Applications 1st Ed 2023 Nguyen Hoang Phuong instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 5.91 MB
Pages: 300
Author: Nguyen Hoang Phuong, Vladik Kreinovich, (eds.)
ISBN: 9783031294464, 9783031294471, 3031294467, 3031294475
Language: English
Year: 2023
Edition: 1st ed. 2023
Volume: 1097

Product desciption

Deep Learning And Other Soft Computing Techniques Biomedical And Related Applications 1st Ed 2023 Nguyen Hoang Phuong by Nguyen Hoang Phuong, Vladik Kreinovich, (eds.) 9783031294464, 9783031294471, 3031294467, 3031294475 instant download after payment.

This book focuses on the use of artificial intelligence (AI) and computational intelligence (CI) in medical and related applications. Applications include all aspects of medicine: from diagnostics (including analysis of medical images and medical data) to therapeutics (including drug design and radiotherapy) to epidemic- and pandemic-related public health policies.

Corresponding techniques include machine learning (especially deep learning), techniques for processing expert knowledge (e.g., fuzzy techniques), and advanced techniques of applied mathematics (such as innovative probabilistic and graph-based techniques).

The book also shows that these techniques can be used in many other applications areas, such as finance, transportation, physics.

This book helps practitioners and researchers to learn more about AI and CI methods and their biomedical (and related) applications―and to further develop this important research direction.

Related Products