3 papers
cs.LG2026
Robust and Personalized Federated Learning for Aircraft-Engine Prognostics under Benign and Adversarial Client Heterogeneity
Chinmoy Mitra, Md. Mehedi Hasan Nipu, Mohammad Sakib Mahmood +2
Federated learning (FL) enables aircraft fleet operators to jointly train remaining-useful-life (RUL) models from engine sensor telemetry without sharing raw data. This study exami…
cs.LG2026
Hybrid Deep Learning Approach for Coupled Demand Forecasting and Supply Chain Optimization
Nusrat Yasmin Nadia, Md Habibul Arif, Habibor Rahman Rabby +3
Supply chain resilience and efficiency are vital in industries characterized by volatile demand and uncertain supply, such as textiles and personal protective equipment (PPE). Trad…
cs.CV2025
ConMatFormer: A Multi-attention and Transformer Integrated ConvNext based Deep Learning Model for Enhanced Diabetic Foot Ulcer Classification
Raihan Ahamed Rifat, Fuyad Hasan Bhoyan, Md Humaion Kabir Mehedi +3
Diabetic foot ulcer (DFU) detection is a clinically significant yet challenging task due to the scarcity and variability of publicly available datasets. To solve these problems, we…