Predictive Models of Fire via Deep learning Exploiting Colorific Variation. - JiSeong Han; Gwangsu Kim; ChanSeo Lee; YeongKwang Han; Ung Hwang; Sunghwan Kim 003 (ICAIIC, 2019)

Vision-Based Deep Q-Learning Network Models to Predict Particulate Matter Concentration Levels Using Temporal Digital Image Data. - Sunghwan Kim 003; SeHee Jung; SeongMin Yang; JiSeong Han; ByungYong Lee; Jaehwa Lee; Sung Won Han 003 (J. Sensors, 2019)

Reinforcement Learning Guided by Double Replay Memory. - JiSeong Han; Kichun Jo; Wontaek Lim; Yonghak Lee; Kyoungmin Ko; Eunseon Sim; Junsang Cho; Sunghwan Kim 003 (J. Sensors, 2021)