2 citations · 4 across the 5 of their papers we have counts for
5 papers
On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks
Hong-fu Chou, Vu Nguyen Ha, Prabhu Thiruvasagam +7
Earth Observation (EO) systems are crucial for cartography, disaster surveillance, and resource administration. Nonetheless, they encounter considerable obstacles in the processing…
Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image Classification
Thanh-Dung Le, Vu Nguyen Ha, Ti Ti Nguyen +8
This study presents an innovative dynamic weighting knowledge distillation (KD) framework tailored for efficient Earth observation (EO) image classification (IC) in resource-constr…
Cognitive Semantic Augmentation LEO Satellite Networks for Earth Observation
Hong-fu Chou, Vu Nguyen Ha, Prabhu Thiruvasagam +7
Earth observation (EO) systems are essential for mapping, catastrophe monitoring, and resource management, but they have trouble processing and sending large amounts of EO data eff…
Hybrid Deep Learning-Based for Enhanced Occlusion Segmentation in PICU Patient Monitoring
Mario Francisco Munoz, Hoang Vu Huy, Thanh-Dung Le
Remote patient monitoring has emerged as a prominent non-invasive method, using digital technologies and computer vision (CV) to replace traditional invasive monitoring. While neon…
Predictive Models based on Deep Learning Algorithms for Tensile Deformation of AlCoCuCrFeNi High-entropy alloy
Hoang-Giang Nguyen, Thanh-Dung Le
High-entropy alloys (HEAs) stand out between multi-component alloys due to their attractive microstructures and mechanical properties. In this investigation, molecular dynamics (MD…