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M. F. Mridha

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Open access 2026

Temporal Explainable Machine Learning for Insider Threat Detection in Intelligent Transportation Systems

: 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. · 0 citations
Open access 2026

A Multi-Input Neural Network for Early Detection of Neurological Disordersfrom Vocal and Sleep Data

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. · 0 citations
Preprint Aug 2026

Robust and Personalized Federated Learning for Aircraft-Engine Prognostics under Benign and Adversarial Client Heterogeneity

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
Open access 2026

Hierarchical Graph Federated Learning for Cross-Domain Intelligent Transportation Networks

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. · 0 citations

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