2 citations · 2 across the 2 of their papers we have counts for
5 papers
Unsupervised Domain Adaptation with SAM-RefiSeR for Enhanced Brain Tumor Segmentation
Dillan Imans, Phuoc-Nguyen Bui, Duc-Tai Le +1
Unsupervised Domain Adaptation with SAM-RefiSeR for Enhanced Brain Tumor Segmentation
Q-Learning-Based Time-Critical Data Aggregation Scheduling in IoT
Van-Vi Vo, Tien-Dung Nguyen, Duc-Tai Le +1
Time-critical data aggregation in Internet of Things (IoT) networks demands efficient, collision-free scheduling to minimize latency for applications like smart cities and industri…
Distributed Q-learning-based Shortest-Path Tree Construction in IoT Sensor Networks
Van-Vi Vo, Tien-Dung Nguyen, Duc-Tai Le +1
Efficient routing in IoT sensor networks is critical for minimizing energy consumption and latency. Traditional centralized algorithms, such as Dijkstra's, are computationally inte…
Curated Collaborative AI Edge with Network Data Analytics for B5G/6G Radio Access Networks
Sardar Jaffar Ali, Syed M. Raza, Duc-Tai Le +4
Despite advancements, Radio Access Networks (RAN) still account for over 50\% of the total power consumption in 5G networks. Existing RAN split options do not fully harness data po…
Multi-scale Feature Enhancement in Multi-task Learning for Medical Image Analysis
Phuoc-Nguyen Bui, Duc-Tai Le, Junghyun Bum +1
Traditional deep learning methods in medical imaging often focus solely on segmentation or classification, limiting their ability to leverage shared information. Multi-task learnin…