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 Connected Automated Vehicles and ITS, Electric, Fuel Cell, and Hybrid Vehicle, Vehicle Dynamics and Control
IMPROVED PREDICTIVE MODEL OF DRIVERS’ SUBJECTIVE PERCEPTION OF VEHICLE REACTION UNDER AERODYNAMIC EXCITATIONS
Arun Kumar , Erik Sällström , Simone Sebben , Bengt Jacobson
Int J Automot Technol. 2023;24(6):1655-1664.    DOI: https://doi.org/10.1007/s12239-023-0133-3
      
 Electric, Fuel Cell, and Hybrid Vehicle, Engine and Emissions, Fuels and Lubricants, Heat Transfer, Fluid and Thermal Engineering
DEVELOPMENT OF A LIGHT AND ACCURATE NOX PREDICTION MODEL FOR DIESEL ENGINES USING MACHINE LEARNING AND XAI METHODS
Jeong Jun Park , Sangyul Lee , Seunghyup Shin , Minjae Kim , Jihwan Park
Int J Automot Technol. 2023;24(2):559-571.    DOI: https://doi.org/10.1007/s12239-023-0047-0
         Cited By 1
  Engine and Emissions, Fuels and Lubricants
PREDICTING UNBURNED HYDROCARBONS IN THE THERMAL BOUNDARY LAYER CLOSE TO THE COMBUSTION-CHAMBER WALL IN A GASOLINE ENGINE USING A 1-D MODEL
Kei Yoshimura, Hajime Yahata, Shoya Tanamachi, Kyohei Yamaguchi, Ratnak Sok, Jin Kusaka, Satoshi Tokuhara
Int J Automot Technol. 2022;23(1):233-242.    DOI: https://doi.org/10.1007/s12239-022-0020-3
         Cited By 1
 Engine and Emissions, Fuels and Lubricants
EGR PREDICTION OF DIESEL ENGINES IN STEADY-STATE CONDITIONS USING DEEP LEARNING METHOD
Sangyul Lee, Yongjoo Lee, Youngbok Lee, Minjae Kim, Seunghyup Shin, Jihwan Park, Kyoungdoug Min
Int J Automot Technol. 2020;21(3):571-578.    DOI: https://doi.org/10.1007/s12239-020-0054-3
         Cited By 9
 Body and Safety
DEVELOPMENT OF AN ENERGY PREDICTION MODEL BASED ON DRIVING DATA FOR PREDICTING THE DRIVING DISTANCE OF AN ELECTRIC VEHICLE
Sang Hyeop Lee, Man Ho Kim, Suk Lee
Int J Automot Technol. 2019;20(2):389-395.    DOI: https://doi.org/10.1007/s12239-019-0038-3
         Cited By 4
 Intelligent Vehicle / Transportation Systems
EVALUATION OF SAFETY BENEFITS OF AUTOMATIC CRASH INFORMATION NOTIFICATION SYSTEMS ON FREEWAYS
E. JEONG, C. OH, J. LEE
Int J Automot Technol. 2014;15(3):495-503.    DOI: https://doi.org/10.1007/s12239-014-0052-4
         Cited By 6
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