6 papers
Cross-Architectural Mixture-of-Experts with Adaptive Soft Routing for Plant Leaf Disease Classification
Phi-Hung Hoang, Thi-Thu-Hong Phan
Plant leaf disease classification is crucial for crop protection and precision agriculture but remains challenging under complex backgrounds, illumination variations, and severe cl…
AgriKD: Cross-Architecture Knowledge Distillation for Efficient Leaf Disease Classification
Minh-Dung Le, Minh-Duc Hoang, Hoang-Vu Truong +1
Automated leaf disease classification is critical for early disease detection in resource-constrained field environments. Vision Transformers (ViTs) provide strong representation c…
Enhanced Fish Freshness Classification with Incremental Handcrafted Feature Fusion
Phi-Hung Hoang, Nam-Thuan Trinh, Van-Manh Tran +1
Accurate assessment of fish freshness remains a major challenge in the food industry, with direct consequences for product quality, market value, and consumer health. Conventional…
Multi-objective hybrid knowledge distillation for efficient deep learning in smart agriculture
Phi-Hung Hoang, Nam-Thuan Trinh, Van-Manh Tran +1
Deploying deep learning models on resource-constrained edge devices remains a major challenge in smart agriculture due to the trade-off between computational efficiency and recogni…
Deep Feature Optimization for Enhanced Fish Freshness Assessment
Phi-Hung Hoang, Nam-Thuan Trinh, Van-Manh Tran +1
Assessing fish freshness is vital for ensuring food safety and minimizing economic losses in the seafood industry. However, traditional sensory evaluation remains subjective, time-…
Towards Accurate and Efficient Waste Image Classification: A Hybrid Deep Learning and Machine Learning Approach
Ngoc-Bao-Quang Nguyen, Tuan-Minh Do, Cong-Tam Phan +1
Automated image-based garbage classification is a critical component of global waste management; however, systematic benchmarks that integrate Machine Learning (ML), Deep Learning…