Data science and decision analytics

DynaSTI: Dynamics modeling with sequential temporal information for reinforcement learning in Atari

Identification of primary input parameters affecting evacuation in ventilated main control room through CFAST simulations and application of a machine learning algorithm to replace CFAST model

Deep semi-supervised regression via pseudo-label filtering and calibration

Self- and semi-supervised learning for evacuation time modeling within fire emergencies in nuclear power plants

Semantic Segmentation for Noisy and Limited Wafer Transmission Electron Microscope Images

Cross-subject generalizable representation learning with class-subject dual labels for biosignals

Supervised Contrastive Learning for Multisensor Signals Classification in Automobile Engine Manufacturing

Weakly Supervised Image Segmentation for Detecting Defects From Scanning Electron Microscopy Images in Semiconductor

Improving webtoon accessibility for color vision deficiency in South Korea using deep learning