Ajou University repository

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Showing results 1 to 10 of 4268 (Search time: 0.0 seconds).

Energy Performance and Load Prediction Using ARDL and Deep Neural Network Models
  • 박상구
  • 2018-02
  • The Graduate School, Ajou University
Multi-Task Prediction of Collision and Trajectories Based on Transformer Network for Safety-Critical Scenarios of Automated Vehicles 위험 시나리오에 대한 트랜스포머 네트워크 기반 자율주행차량의 충돌 및 궤적 예측 알고리즘 개발
  • 2024-10-01
  • Transactions of the Korean Society of Automotive Engineers, Vol.32, pp.843-852
  • Korean Society of Automotive Engineers
Is quantum prediction expected to enhance supply chain management in the hotel and hotel performance?
  • ADHIKARI BINAYA
  • 2021-02
  • Graduate School of International Studies Ajou University
Application of a multiple linear regression and an artificial neural network model for the heating performance analysis and hourly prediction of a large-scale ground source heat pump system
  • Park, Sang Ku;
  • Moon, Hyeun Jun;
  • Min, Kyung Chon;
  • Hwang, Changha;
  • Kim, Suduk
  • 2018-04-15
  • Energy and Buildings, Vol.165, pp.206-215
  • Elsevier Ltd
Graph Feature Attention Network for Enhanced Interpretability
  • 방선주
  • 2021-02
  • The Graduate School, Ajou University
Measuring Project Performance in Consideration of Optimal Best Management Practices for Building Construction in South Koreaoa mark
  • 2018-05-01
  • KSCE Journal of Civil Engineering, Vol.22, pp.1614-1625
  • Springer Verlag
Predictability of PM2.5 in Seoul based on atmospheric blocking forecasts using the NCEP global forecast system
  • Shin, Uju;
  • Park, Sang Hun;
  • Park, Joon Sung;
  • Koo, Ja Ho;
  • Yoo, Changhyun;
  • Kim, Soontae;
  • Lee, Jae bum
  • 2021-02-01
  • Atmospheric Environment, Vol.246
  • Elsevier Ltd
Deterioration and Predictive Condition Modeling of Concrete Bridge Decks Based on Data from Periodic NDE Surveys
  • 2019-06-01
  • Journal of Infrastructure Systems, Vol.25
  • American Society of Civil Engineers (ASCE)
Effective Modeling of CO2 Emissions for Light-Duty Vehicles: Linear and Non-Linear Models with Feature Selectionoa mark
  • 2024-04-01
  • Energies, Vol.17
  • Multidisciplinary Digital Publishing Institute (MDPI)
Applying topic modeling and similarity for predicting bug severity in cross projectsoa mark
  • 2019-03-31
  • KSII Transactions on Internet and Information Systems, Vol.13, pp.1583-1598
  • Korean Society for Internet Information
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