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cs.CV2026
Multi-Modal Semantic Segmentation of Electrolyzer Components for Sustainable Hydrogen Technologies: A Dual-Branch Deep Learning Approach
Wasimul Karim, Nur Mohammad Fahad, Abdul Hasib Siddique +4
Accurate segmentation of electrolyzer materials is essential for automated disassembly, sustainable recycling, and circular manufacturing in hydrogen technologies. However, this ta…
cs.CV2026
Learning to Weigh Waste: A Physics-Informed Multimodal Fusion Framework and Large-Scale Dataset for Commercial and Industrial Applications
Md. Adnanul Islam, Wasimul Karim, Md Mahbub Alam +7
Accurate weight estimation of commercial and industrial waste is important for efficient operations, yet image-based estimation remains difficult because similar-looking objects ma…
cs.CV2025
DeepAgent: A Dual Stream Multi Agent Fusion for Robust Multimodal Deepfake Detection
Sayeem Been Zaman, Wasimul Karim, Arefin Ittesafun Abian +4
The increasing use of synthetic media, particularly deepfakes, is an emerging challenge for digital content verification. Although recent studies use both audio and visual informat…