3 papers
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…
cs.CV2025
DyCAF-Net: Dynamic Class-Aware Fusion Network
Md Abrar Jahin, Shahriar Soudeep, M. F. Mridha +2
Recent advancements in object detection rely on modular architectures with multi-scale fusion and attention mechanisms. However, static fusion heuristics and class-agnostic attenti…