3 papers
cs.CV2026
BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data
Arefin Ittesafun Abian, Debopom Sutradhar, Md Rafi Ur Rashid +5
Insect classification is important for agricultural management and ecological research, as it directly affects crop health and production. However, this task remains challenging du…
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.SD2025
ARIONet: An Advanced Self-supervised Contrastive Representation Network for Birdsong Classification and Future Frame Prediction
Md. Abdur Rahman, Selvarajah Thuseethan, Kheng Cher Yeo +2
Automated birdsong classification is essential for advancing ecological monitoring and biodiversity studies. Despite recent progress, existing methods often depend heavily on label…