Deep Learning–Reinforced Self-Adaptive CI/CD Framework for Traffic-Aware Deployment in Intelligent Transportation Systems

Intelligent Transportation Systems (ITS) generate large volumes of real-time traffic data that require accurate forecasting, timely anomaly detection, and reliable deployment strategies to maintain operational efficiency. Existing ITS solutions often treat prediction, anomaly detection, and system d...

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Autors principals:	Mohammed Saad Javeed, Md Al Rafi, Md Shariful Alam Bhuiyan, M. F. Mridha, Md. Jakir Hossen
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Open Journal of Intelligent Transportation Systems
Matèries:	Intelligent transportation systems (ITS) continuous integration and deployment (CI/CD) deep learning anomaly detection adaptive deployment
Accés en línia:	https://ieeexplore.ieee.org/document/11611740/
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