5 papers
RL-Ballast: Ship Ballast Water Path Planning and Clog Prediction via Reinforcement Learning
Ming-Kuan Lin, Yi-Chung Lai, Ming-Hsin Chiang +2
Under the Shipping 4.0 paradigm, autonomous and reduced-crew vessels require intelligent internal systems to maintain operational safety and structural stability. Ballast-water con…
BioVid: Autoregressive Video Generation with Biological Behavior Semantic Comprehension
Tsung-Wei Pan, Jung-Hua Wang
Video generation for biological behavior requires more than visually plausible motion: the duration of an action is itself a semantic property. Existing models usually rely on fixe…
An Adaptive Data cleaning Framework for Noisy Label Detection
Chen-Hsuan Fang, Wei-Hsinag Chen, Pin-Hsuan Yu +2
Deep neural networks (DNNs) excel in computer vision tasks given large annotated datasets. In real-world applications, however, labels are often corrupted by ambiguity, human error…
Automated 3D Kinematic Monitoring for Circadian Activity and Anomaly Detection in Juvenile Fish
Chih-Wei Huang, Chang-Wen Huang, Chung-Ping Chiang +1
Precision aquaculture faces a "phenotyping bottleneck" in tracking high-resolution behavioral traits, as conventional methods cannot quantify instantaneous three-dimensional (3D) p…
Beyond Data Scarcity Optimizing R3GAN for Medical Image Generation from Small Datasets
Tsung-Wei Pan, Chang-Hong Wu, Jung-Hua Wang +3
Medical image datasets frequently exhibit significant class imbalance, a challenge that is further amplified by the inherently limited sample sizes that characterize clinical imagi…