A Framework For Critical Infrastructure Monitoring Based On Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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A Framework For Critical Infrastructure Monitoring Based On Deep Reinforcement Learning Approach

Published:2022-11-01 Issue: Volume: Page:
ISSN:
Container-title:2022 5th Information Technology for Education and Development (ITED)
language:
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Author:

Yunana Kefas¹,Oyefolahan Ishaq Oyebisi²,Bashir Sulaimon Adebayo³

Affiliation:

1. Nasarawa State University,Department of Computer Science,Keffi,Nigeria

2. Federal University of Technology,Department of Information Technology,Minna,Nigeria

3. Federal University of Technology,Department of Computer Science,Minna,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10051167/10051171/10051520.pdf?arnumber=10051520

Reference32 articles.

1. Research on an advanced intelligence implementation system for engineering process in industrial field under big data

2. Condition-Based Maintenance with Reinforcement Learning for Dry Gas Pipeline Subject to Internal Corrosion

3. Failure modeling of water distribution pipelines using meta-learning algorithms

4. Monitoring system of oil by-products interface in pipelines using the gamma radiation attenuation

5. Real-Time Autonomous Residential Demand Response Management Based on Twin Delayed Deep Deterministic Policy Gradient Learning

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