Senseable AI Lab (SAIL)

Dept. of AI and Big Data, Soonchunhyang University

International journals

*: corresponding author

  • [Under review] Byeongjoon Noh, Myungseok Park, and Jaeyun Kim, “A Multi-Modal Approach for Detecting Drivers’ Distraction using Bio-Signal and Vision Sensor Fusion in Driver Monitoring System,” Engineering Applications of Artificial Intelligence Q0, IF=8.0
  • [Under review] Byunghun Kim, Byeongjoon Noh*, and Known Song* “Method on Efficient Operation of Multiple Models for Vision-based In-Flight Risky Behavior Recognition in UAM Safety and Security,” Journal of Advanced Transportation IF=2.3
  • [Under review] Yujin Kim, Hwasoo Yeo, Lisa Lim*, and Byeongjoon Noh*, “A Comprehensive Analysis of Motorcycle Accidents for Food Delivery
    in South Korea with Multidimensional, Predictive, and Explainable
    Data Modeling Approaches,” Sustainable Cities and Society Q0, IF=11.7
  • [Under review] Zhixiong Jin, Wonjun No, and Byeongjoon Noh*, “Comparative Analysis of Road Users’ Behaviors in School Zones Before and After Enhanced Penalty Policy Enforcement Using Vision-Based Trajectories,” ustainable Cities and Society Q0, IF=11.7
  • [Under review] Wonjun No, Byeongjoon Noh, and Youngchul Kim*, “A novel approach for reliable pedestrian trajectory collection with behavior-based trajectory reconstruction for urban surveillance systems,” Advances in Engineering Software IF=4.8
  • [Under review] Haechan Cho, Zhixiong Jin, Hwasoo Yeo and Byeongjoon Noh*, “Urban Traffic Accident and Risk Prediction System: Integrating Urban Mobility and Road Geometry using Deep Learning and Model Interpretation,” Engineering Applications of Artificial Intelligence Q0, IF=8.0
  • Zhixiong Jin and Byeongjoon Noh*, “From prediction to prevention: Leveraging deep learning in traffic accident prediction system,” Electronics 2023, 12(20), 4335; https://doi.org/10.3390/electronics12204335. IF=2.9 [LINK]
  • Hyejin Lee, Haechan Cho, Byeongjoon Noh*, and Hwasoo Yeo*, “NAVIBox: Real-time vehicle-pedestrian risk prediction system in edge vision environment,” Electronics 2023, 12(20), 4311; https://doi.org/10.3390/electronics12204311. IF=2.9 [LINK]
  • Byeongjoon Noh, Tengfeng Lin, Sungju Lee*, Taikyeong Jeong*, “Deep Learning and Geometry Flow Vector Using Estimating Vehicle Cuboid Technology in a Monovision Environment,” Sensors 2023, 23(17), 7504;  https://doi.org/10.3390/s23177504. IF=3.9 [LINK]
  • Juntae Son*, Byeongjoon Noh,  and Hansaem Park, “Optimization of building material selection for energy saving in commercial buildings in different climatic conditions.” Journal of Green Building 17 (3) 89-106, 2022. Q0 (A&HCI) [LINK]
  • Byeongjoon Noh, Hansaem Park, Sungju Lee, and Seunghee Nam*, “Vision-based pedestrian’s crossing risky behavior extraction and analysis for intelligent traffic safety system,” Sensors 2022, 22(9), 3451; https://doi.org/10.3390/s22093451. IF=3.9 [LINK]
  • Donghwa Shon, Byeongjoon Noh, and Nahyang Byun*, “Identifying and extracting method of exterior building information on 3D map”
    Buildings 12(4), 2022. Q0, IF=3.324 [LINK]
  • Hansaem Park, Dongyoon Park, Byeongjoon Noh, and Seongju Chang*, “Stacking deep transfer learning for short-term cross building energy prediction  with different seasonality and occupant schedule.” Building and Environment 10.1016/j.buildenv.2022.109060.  Q0, IF=7.093 [LINK]
  • Byeongjoon Noh and Hwasoo Yeo*, “A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure” Transportation Research Part C: Emerging Technologies 137 (2022):103570. Q0, IF=9.022 [LINK]
  • Byeongjoon Noh, Hansaem Park, and Hwasoo Yeo*, “Analyzing vehicle-pedestrian interactions: combining data cube structure and predictive collision risk estimation model” Accident Analysis and Prevention 165 (2022):106539. Q0, IF=6.376 [LINK]
  • Byeongjoon Noh and Hwasoo Yeo*,  “SafetyCube: Framework for potential pedestrian risk analysis using multi-dimensional OLAP.” Accident Analysis and Prevention 155 (2021):106104. Q0, IF=6.376 [LINK]
  • Byeongjoon Noh, Dongho Ka, David Lee, and Hwasoo Yeo*, “Analysis of vehicle-pedestrian interactive behaviors near unsignalized crosswalk” Transportation Research Record (2021): 0361198121999066. IF=2.019 [LINK]
  •  Wonjun No, David Lee, Byeongjoon Noh, and Youngchul Kim*, “How do crosswalk delays affect walking access in land use areas? Walking access reduction by signalized crosswalks in Seoul, South Korea”, Applied Geography. Q1, IF=4.732 [LINK]
  • Byeongjoon Noh, Wonjun No, Jaehong Lee, and David Lee*, “Vision-based potential pedestrian risk analysis on unsignalized crosswalk using data mining techniques” Applied Sciences 10 (3), p 1057, 2020. IF=2.679 [LINK]
  • Byeongjoon Noh,  Juntae Son, Hansaem Park, and Seongju Chang*, “In-depth analysis of energy efficiency related factors in commercial buildings using data cube and association rule mining” Sustainability 9 (11), 2017. IF=3.251 [LINK]
  • Jonguk Lee, Byeongjoon Noh,  Suin Jang, Daihee Park*, and Yonghwa Chung, ” Stress detection and classification of laying hens by sound analysis” Asian-Australasian Journal of Animal Sciences 28 (4), 2015. IF=2.509 [LINK]