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Engine and Emissions |
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DRAG REDUCTION PREDICTION OF AHMED MODEL WITH TRAVELING WAVE BASED ON BP NEURAL NETWORK
Xingjun Hu , Jinglong Zhang , Yufei Luo , Jingyu Wang , Pengzhan Ma , Wei Lan , Chunbo Dong
Int J Automot Technol. 2022;23(5):1419-1426. DOI: https://doi.org/10.1007/s12239-022-0124-9
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Body and Safety |
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INTERIOR WIND NOISE PREDICTION AND VISUAL EXPLANATION SYSTEM FOR EXTERIOR VEHICLE DESIGN USING COMBINED CONVOLUTION NEURAL NETWORKS
HaEun Park , Hoichan Jung , Min Seok Lee , Doohyung Kim , Jongwon Lee , Sung Won Han
Int J Automot Technol. 2022;23(4):1013-1021. DOI: https://doi.org/10.1007/s12239-022-0088-9
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Engine and Emissions |
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EFFECT OF EXHAUST BACKPRESSURE ON PERFORMANCE OF A DIESEL ENGINE: A NEURAL NETWORK BASED SENSITIVITY ANALYSIS
Yiğit Gülmez, Güner Özmen
Int J Automot Technol. 2022;23(1):215-223. DOI: https://doi.org/10.1007/s12239-022-0018-x
 
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Intelligent Vehicle / Transportation Systems |
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DETECTION OF COGNITIVE AND VISUAL DISTRACTION USING RADIAL BASIS PROBABILISTIC NEURAL NETWORKS
Joonwoo Son, Myoungouk Park
Int J Automot Technol. 2018;19(5):935-940. DOI: https://doi.org/10.1007/s12239-018-0090-4
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Other Fields of Automotive Engineering |
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HUMAN RIDE COMFORT PREDICTION OF DRIVE TRAIN USING MODELING METHOD BASED ON ARTIFICIAL NEURAL NETWORKS
S. LERSPALUNGSANTI, A. ALBERS, S. OTT, T. DÜSER
Int J Automot Technol. 2015;16(1):153-166. DOI: https://doi.org/10.1007/s12239-015-0017-2
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Intelligent Vehicle / Transportation Systems |
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DRIVING ENVIRONMENT ASSESSMENT USING FUSION OF IN- AND OUT-OF-VEHICLE VISION SYSTEMS
S. Y. KIM, H. C. CHOI, W. J. WON, S. Y. OH
Int J Automot Technol. 2009;10(1):103-113.
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Materials and Recycling, Manufacturing |
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NEURAL NETWORK MODEL FOR DESIGNING AUTOMOTIVE DEVICES USING SMD LEDS
A. V. ORTEGA, I. N. SILVA
Int J Automot Technol. 2008;9(2):203-210.
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Engine, Emission Technology |
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ADAPTIVE FDI FOR AUTOMOTIVE ENGINE AIR PATH AND ROBUSTNESS ASSESSMENT UNDER CLOSED-LOOP CONTROL
M. S. SANGHA, D. L. YU, * and J. B. GOMM
Int J Automot Technol. 2007;8(5):637-650.
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