CNN Hyper-Parameter Optimizer based on Evolutionary Selection and GOW Approach for Crimes Tweet Detection-Reference-Cited by-同舟云学术

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CNN Hyper-Parameter Optimizer based on Evolutionary Selection and GOW Approach for Crimes Tweet Detection

Published:2023-12-18 Issue: Volume:10 Page:569-574
ISSN:
Container-title:2023 16th International Conference on Developments in eSystems Engineering (DeSE)
language:
Short-container-title:

Author:

Abdalrdha Zainab Khyioon¹,Al-Bakry Abbas Mohsin²,Farhan Alaa K.³

Affiliation:

1. Institute of Postgraduate Studies,Iraqi Commission for Computers and Informatics / Informatics,Baghdad,Iraq

2. University of Information Technology and Communication (UoITC),Baghdad,Iraq

3. University of Technology,Department of Computer Sciences,Baghdad,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10468572/10468673/10469361.pdf?arnumber=10469361

Reference29 articles.

1. Cybercrime Prevention on Social Media;Shah;International Journal of Engineering Research & Technology (IJERT),2021

2. A social network of crime: A review of the use of social networks for crime and the detection of crime

3. A Framework to Predict Social Crime through Twitter Tweets By Using Machine Learning

4. "Detecting Cybersecurity Events from Noisy Short Text;Yagcioglu;North American Chapter of the Association for Computational Linguistics (NAACL),2019

5. A French Corpus for Event Detection on Twitter;Mazoyer

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