Deep Reinforcement Learning in Health care systems

Kiramat, Ullah Deep Reinforcement Learning in Health care systems., 2020 (Unpublished) [Tutorial]

[img]
Preview
Text
august report 2020.pdf

Download (154kB) | Preview

English abstract

In computational science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. We classify, and compare the advantages and disadvantages of various routing proto-cols. We also address Emergency health issues and suggest how it can be improved.

Item type: Tutorial
Keywords: learning, wban, health care
Subjects: L. Information technology and library technology > LA. Telecommunications.
L. Information technology and library technology > LB. Computer networking.
L. Information technology and library technology > LC. Internet, including WWW.
L. Information technology and library technology > LH. Computer and network security.
Depositing user: Dr. kiramat ullah
Date deposited: 20 Jul 2020 22:14
Last modified: 20 Jul 2020 22:14
URI: http://hdl.handle.net/10760/40125

Downloads

Downloads per month over past year

Actions (login required)

View Item View Item