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Connected Automated Vehicles and ITS |
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Development of Indoor Wear Test Method for Passenger Car Tires Refl ecting Road Driving Conditions
SUNG PIL JUNG , Junhee Lee
Int J Automot Technol. 2024;25(2):413-425. DOI: https://doi.org/10.1007/s12239-024-00034-6
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Electric, Fuel Cell, and Hybrid Vehicle, Engine and Emissions, Fuels and Lubricants, Heat Transfer, Fluid and Thermal Engineering |
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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
 
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Cited By 1 |
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Human Factors and Ergonomics |
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PREDICTION OF DRIVER’S DROWSINESS USING MACHINE LEARNING ALGORITHMS FOR MINIMAL RISK CONDITION
Deok Ho Nam , Gyeong Pil Kim , Keon Hee Baek , Da Som Lee , Ho Yong Lee , Myung Won Suh
Int J Automot Technol. 2022;23(4):917-926. DOI: https://doi.org/10.1007/s12239-022-0080-4
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Cited By 1 |
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Connected Automated Vehicles and ITS, Electric, Fuel Cell, and Hybrid Vehicle, Vehicle Dynamics and Control |
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A REVIEW OF OPTIMAL ENERGY MANAGEMENT STRATEGIES USING MACHINE LEARNING TECHNIQUES FOR HYBRID ELECTRIC VEHICLES
Changhee Song, Kiyoung Kim, Donghwan Sung, Kyunghyun Kim, Hyunjun Yang, Heeyun Lee, Gu Young Cho, Suk Won Cha
Int J Automot Technol. 2021;22(5):1437-1452. DOI: https://doi.org/10.1007/s12239-021-0125-0
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Cited By 19 |
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Body and Safety, Manufacturing, Materials and Recycling |
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DEVELOPMENT OF A MACHINE LEARNING BASED FAST RUNNING
MODEL TO DETERMINE RAPIDLY THE PROCESS CONDITIONS IN
DRAWING PROCESS
Donghyuk Cho, Youngseog Lee
Int J Automot Technol. 2019;20(Supplement):9-17. DOI: https://doi.org/10.1007/s12239-019-0123-7
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Cited By 1 |
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Body and Safety, Manufacturing, Materials and Recycling |
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DEVELOPMENT OF A MACHINE LEARNING BASED FAST RUNNING
MODEL TO DETERMINE RAPIDLY THE PROCESS CONDITIONS IN
DRAWING PROCESS
Donghyuk Cho, Youngseog Lee
Int J Automot Technol. 2019;20(S):9-17. DOI: https://doi.org/10.1007/s12239-019-0123-7
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Cited By 1 |
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Electric, Fuel Cell, and Hybrid Vehicle, Human Factors and Ergonomics, Other Fields of Automotive Engineering |
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LEARNING TO RECOGNIZE DRIVING PATTERNS FOR COLLECTIVELY
CHARACTERIZING ELECTRIC VEHICLE DRIVING BEHAVIORS
Chung-Hong Lee, Chih-Hung Wu
Int J Automot Technol. 2019;20(6):1263-1276. DOI: https://doi.org/10.1007/s12239-019-0118-4
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Cited By 10 |
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Body and Safety, Manufacturing, Materials and Recycling |
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DEVELOPMENT OF A MACHINE LEARNING BASED FAST RUNNING
MODEL TO DETERMINE RAPIDLY THE PROCESS CONDITIONS IN
DRAWING PROCESS
Donghyuk Cho, Youngseog Lee
Int J Automot Technol. 2019;20(0):9-17. DOI: https://doi.org/10.1007/s12239-019-0123-7
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Cited By 2 |
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Intelligent Vehicle / Transportation Systems |
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DROWSY BEHAVIOR DETECTION BASED ON DRIVING INFORMATION
M. S. WANG, N. T. JEONG, K. S. KIM, S. B. CHOI, S. M. YANG, S. H. YOU, J. H. LEE, M. W. SUH
Int J Automot Technol. 2016;17(1):165-173. DOI: https://doi.org/10.1007/s12239-016-0016-y
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Cited By 44 |
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