Deep Reinforcement Learning in Health care systems

Kiramat, Ullah Deep Reinforcement Learning in Health care systems., 2020 (Unpublished) [Tutorial]

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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

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