Data-driven physics-informed neural networks for predicting terrorism dynamics under time delay and economic stress
Fields of Study & Subjects
Terrorism
Counterterrorism
and Political Violence
Anomaly Detection Techniques and Applications
Adversarial Robustness in Machine Learning
Publication details
- Journal / source
- Mathematics and Computers in Simulation
- Publisher
- Elsevier BV
- Volume
- 249
- Pages
- 428–452
- Publication date
- 1 June 2026
- Language
- EN