ScholarWorks@SOONCHUNHYANG UNIVERSITY: Noh, Byeong joon

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Noh, Byeong joon (노병준)

College of Software Convergence (Department of Ai and Big Data)

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deep learning:3||yolov8:2||transformer:2||traffic context:2||Computer vision:2||Motorcycle crash:1||Multimodal deep learning:1||OLAP:1||OLAP 연산:1||Optuna:1||Pedestrian access:1||Pedestrian behavior:1||Pedestrian safety:1||Pedestrian trajectory:1||Road traffic safety:1||Road user behavior analysis:1||School zone accident:1||School zone policy effectiveness:1||Urban environment planning:1||Urban network analysis:1||Zoning:1||accident severity estimation:1||case law prediction:1||commercial vehicle behavior analysis:1||computer vision:1||cuboid detection:1||data cube model:1||dronevision:1||edge computing:1||energy data analysis:1||lane change prediction:1||multidimensional analysis:1||natural language processing:1||object detection:1||photovoltaic power forecasting:1||realtime processing:1||risk recognition:1||risky driving behavior:1||road geometry:1||road traffic accidents:1||road vehicle detection:1||selfattention mechanism:1||teacher forcing:1||temporal convolutional network:1||traffic accident judgement prediction system:1||traffic accident prediction system:1||traffic accident situation information:1||traffic safety:1||transformer model:1||vehiclepedestrian collision:1||교통사고 판결예측 시스템:1||교통사고상황 정보:1||다차원 분석:1||데이터 큐브 모델:1||도로교통사고:1||드론 비전:1||상업용 차량:1||위험운전행동:1||자연어처리:1||차로 변경 예측:1||판결예측:1||Crosswalk delay:1||Data cube modeling:1||Deep learning:1||Explainable AI:1||

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