Ajou University repository

  • Results/Page
  • Sort by
  • In order
  • Authors/record

Showing results 1 to 10 of 2128 (Search time: 0.0 seconds).

An Adaptive Safety Message Transmission Algorithm Based on Age-of-Information and Collision Risk-Level with Adjacent Vehicles in IEEE802.11p/WAVE Vehicular Networks
  • 2022-03-01
  • Journal of Korean Institute of Communications and Information Sciences, Vol.47, pp.471-473
  • Korean Institute of Communications and Information Sciences
Efficient Decision Tree-Based Classification Models to Predict Safety Rating for Bridge Maintenance
  • 2025-03-01
  • Journal of Infrastructure Systems, Vol.31
  • American Society of Civil Engineers (ASCE)
Risk aware Trust of Information for Improving Safety in Vehicular Networks
  • 최종영
  • 2022-02
  • The Graduate School, Ajou University
Augmented reality, deep learning and vision-language query system for construction worker safetyoa mark
  • Chen, Haosen;
  • Hou, Lei;
  • Wu, Shaoze;
  • Zhang, Guomin;
  • Zou, Yang;
  • Moon, Sungkon;
  • Bhuiyan, Muhammed
  • 2024-01-01
  • Automation in Construction, Vol.157
  • Elsevier B.V.
Influence of dedicated lanes for connected and automated vehicles on highway traffic flowoa mark
  • Kim, Jongho;
  • Lim, Donghyun;
  • Seo, Younghoon;
  • So, Jaehyun;
  • Kim, Hyungjoo
  • 2023-04-01
  • IET Intelligent Transport Systems, Vol.17, pp.678-690
  • John Wiley and Sons Inc
Wearable Sensing Technology Applications in Construction Safety and Health
  • Ahn, Changbum R.;
  • Lee, Sang Hyun;
  • Sun, Cenfei;
  • Jebelli, Houtan;
  • Yang, Kanghyeok;
  • Choi, Byungjoo
  • 2019-11-01
  • Journal of Construction Engineering and Management, Vol.145
  • American Society of Civil Engineers (ASCE)
Bayesian network model to diagnose WMSDs with working characteristics
  • 2020-04-02
  • International Journal of Occupational Safety and Ergonomics, Vol.26, pp.336-347
  • Taylor and Francis Ltd.
A generalized driving risk assessment on high-speed highways using field theoryoa mark
  • 2023-12-01
  • Analytic Methods in Accident Research, Vol.40
  • Elsevier Ltd
1 2 3 4 213