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Author

Muhammad Ismail Mohmand

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#graph neural networks Review Open access Sep 2026

AI-Driven Intrusion Detection for Vehicular Networks: A Comprehensive Survey of Techniques, Datasets, Deployment Architectures, and Future Directions

Intelligent transportation systems (ITSs), Vehicle-to-Everything (V2X) communication and autonomous driving technologies have brought about significant changes in the modern vehicular network. At the same time, the cyber-attack surface has grown, leading to new and existing advanced security threats for Vehicular Ad ho...

S. Hassan, Sadia Din, M. I. Mohmand · 0 citations
#federated learning Open access Sep 2026

FedCareX: Trust-Aware Federated Transformer for Wearable IoT Seizure Prediction

Behind-the-ear electroencephalography (EEG) can now be recorded continuously outside hospital, but forecasting the preictal state is hard in a distributed deployment: raw traces cannot leave the clinical site, the wearable montage is chosen per patient, and part of the labelling comes from automated annotators rather t...

Fahad Ali, Muhammad Shadab Alam Hashmi, Muhammad Ismail Mohmand et al. · 0 citations
#protein folding Open access Sep 2026

Explainable attention-based multi-omics fusion with protein language models for CML-versus-control classification and biomarker discovery

Chronic Myeloid Leukemia (CML) is a well-defined hematological malignancy driven principally by the BCR::ABL1 fusion oncogene and aberrant tyrosine kinase signaling. Computational methods to predict leukemia suffer from the limitation of using single-modality data or black-box models, which cannot adequately incorporat...

Atiq Ur Rehman, Ali Sayyed, Muhammad Ismail Mohmand et al. · 0 citations

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