An integrated deep-learning and multi-level framework for understanding the behavior of terrorist groups-Reference-Cited by-同舟云学术

An integrated deep-learning and multi-level framework for understanding the behavior of terrorist groups

Published:2023-08 Issue:8 Volume:9 Page:e18895
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Jiang Dong,Wu Jiajie^ORCID,Ding Fangyu^ORCID,Ide Tobias^ORCID,Scheffran Jürgen,Helman David^ORCID,Zhang Shize,Qian Yushu,Fu Jingying,Chen Shuai,Xie Xiaolan,Ma Tian,Hao Mengmeng^ORCID,Ge Quansheng

Funder

National Natural Science Foundation of China

Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference92 articles.

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5. Understanding Terror Networks;Sageman,2004

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1. Analysing Ethical, Legal, Technical and Operational Challenges of the Application of Machine Learning in Countering Cyber Terrorism;Advanced Sciences and Technologies for Security Applications;2024

2. Advanced deep learning for masked individual surveillance;International Journal of Cognitive Computing in Engineering;2024

3. AI-Driven Counter-Terrorism: Enhancing Global Security Through Advanced Predictive Analytics;IEEE Access;2023