: Insider threats in Intelligent Transportation Systems (ITS) pose significant risks to operational safety and service continuity, as malicious actions often originate from users with legitimate access and evade traditional signature-based detection methods. This study proposes a temporal and explainable machine learni...
Md Nahian Suhaimee, Farhan Shakil, Md. Al Amin Khan et al.· Computers, Materials & C...· 0 citations
A multi-input deep neural network that integrates vocal biomarkers and clinical sleep-related features to improve diagnostic accuracy and demonstrates consistent improvements over early and late fusion strategies, demonstrating the benefit of modality-specific representation learning.
Md Shujan Shak, Nabila Rahman, Fuad Mahmud et al.· Computers, Materials & C...· 0 citations
A controlled, safety-oriented evaluation using a multi-task one-dimensional convolutional neural network and a structurally non-IID partition of the Commercial Modular Aero-Propulsion System Simulation benchmark reveals a trade-off between robust update selection and collaborative representation learning.
Chinmoy Mitra, Md Mehedi Hasan Nipu, Mohammad Sakib Mahmood et al.· 0 citations
Experiments demonstrate that HG-FL achieves superior performance compared to centralized, flat federated, and graph-only baselines, and highlight the framework’s scalability, robustness, and effectiveness in achieving cross-domain generalization and service-level assurance within privacy-preserving ITS environments.
Mohammed Saad Javeed, Jannatul Maua, Md Shafiq Ullah et al.· IEEE Open Journal of Intelli...· 0 citations
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