A Review on Deep Learning Approaches and Optimization Techniques For Political Security Threat Prediction
- DOI
- 10.62527/joiv.8.3.2204
- Published
- 9
- Container
- JOIV: International Journal on Informatics Visualization
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.62527/joiv.8.3.2204,
title = {A Review on Deep Learning Approaches and Optimization Techniques For Political Security Threat Prediction},
author = {Liyana Safra Zaabar and Noor Afiza Mat Razali and Khairul Khalil Ishak and Nor Asiakin Abdullah and Muslihah Wook},
year = {2024},
journal = {JOIV: International Journal on Informatics Visualization},
doi = {10.62527/joiv.8.3.2204},
url = {https://doi.org/10.62527/joiv.8.3.2204}
}RIS
TY - JOUR TI - A Review on Deep Learning Approaches and Optimization Techniques For Political Security Threat Prediction AU - Liyana Safra Zaabar AU - Noor Afiza Mat Razali AU - Khairul Khalil Ishak AU - Nor Asiakin Abdullah AU - Muslihah Wook PY - 2024 JO - JOIV: International Journal on Informatics Visualization DO - 10.62527/joiv.8.3.2204 UR - https://doi.org/10.62527/joiv.8.3.2204 ER -
APA
Zaabar, L. S., Razali, N. A. M., Ishak, K. K., Abdullah, N. A., & Wook, M. (2024). A Review on Deep Learning Approaches and Optimization Techniques For Political Security Threat Prediction. JOIV: International Journal on Informatics Visualization. https://doi.org/10.62527/joiv.8.3.2204
Source records
- doaj · retrieved 2026-09-26T02:03:10.359Z