Collaborative Optimisation of Grey‐Markov Modelling and Adversarial Meta‐Learning for Resilient Intelligent Transportation Systems
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DOI: 10.1049/itr2.70119
Abstract: To enhance the robustness and interpretability of road‐accident prediction under sparse, noisy, and dynamically evolving conditions, this study proposes a Multimodal Grey‐Markov and Adversarial Meta‐Learning (MGMC‐AML) framework. The model integrates grey relational analysis for adaptive… read more here.
Keywords: meta; adversarial meta; intelligent transportation; meta learning ... See more keywords