Suspicious Activity Recognition Using Proposed Deep L4-Branched-Actionnet With Entropy Coded Ant Colony System Optimization-Reference-Cited by-同舟云学术

Suspicious Activity Recognition Using Proposed Deep L4-Branched-Actionnet With Entropy Coded Ant Colony System Optimization

Published:2021 Issue: Volume:9 Page:89181-89197
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Saba Tanzila^ORCID,Rehman Amjad^ORCID,Latif Rabia^ORCID,Fati Suliman Mohamed^ORCID,Raza Mudassar^ORCID,Sharif Muhammad^ORCID

Funder

Research Project Automated Surveillance and Detection of Human Threats based on Deep Learning Model: Saudi Arabia Case Study, Prince Sultan University, Riyadh, Saudi Arabia

Prince Sultan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09461737.pdf?arnumber=9461737

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