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Engine, Emission Technology |
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ARTIFICIAL NEURAL NETWORK APPROACH TO STUDY THE EFFECT OF INJECTION PRESSURE AND TIMING ON DIESEL ENGINE PERFORMANCE FUELED WITH BIODIESEL
G. R. KANNAN
Int J Automot Technol. 2013;14(4):507-519. DOI: https://doi.org/10.1007/s12239-013-0055-6
 
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Cited By 37 |
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Intelligent Vehicle / Transportation Systems |
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NEURAL-NETWORK MULTIPLE MODELS FILTER (NMM)-BASED POSITION ESTIMATION SYSTEM FOR AUTONOMOUS VEHICLES
M. GWAK, K. JO, M. SUNWOO
Int J Automot Technol. 2013;14(2):265-274. DOI: https://doi.org/10.1007/s12239-013-0030-2
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Cited By 22 |
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Automobile Chassis & Vehicle Dynamic |
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NEURAL-EMPIRICAL TYRE MODEL BASED ON RECURSIVE LAZY LEARNING UNDER COMBINED LONGITUDINAL AND LATERAL SLIP CONDITIONS
M. J. L. BOADA, B. L. BOADA, D. GARCIA-POZUELO, V. DIAZ
Int J Automot Technol. 2011;12(6):821-829. DOI: https://doi.org/10.1007/s12239-011-0094-9
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Cited By 10 |
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Other Fields of Automotive Engineering |
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CAPACITY ESTIMATION OF TORQUE CONVERTERS WITH PISTON HOLES USING THE RESPONSE SURFACE METHOD AND AN ARTIFICIAL NEURAL NETWORK
D. M. CHUN, J. C. LEE, J. C. YEO, S. H. AHN, S. S. HONG, J. D. JANG
Int J Automot Technol. 2011;12(2):273-280. DOI: https://doi.org/10.1007/s12239-011-0032-x
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Cited By 2 |
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Other Fields of Automotive Engineering |
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ALMOST DISTURBANCE DECOUPLING CONTROL OF MIMO NONLINEAR SYSTEM SUBJECT TO FEEDBACK LINEARIZATION AND A FEEDFORWARD NEURAL NETWORK: APPLICATION TO HALF-CAR ACTIVE SUSPENSION SYSTEM
T. H. S. LI, C. J. HUANG, C. C. C
Int J Automot Technol. 2010;11(4):581-592. DOI: https://doi.org/10.1007/s12239-010-0070-9
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Cited By 9 |
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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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Engine, Emission Technology |
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DEVELOPMENT OF A NEW MISFIRE DETECTION SYSTEM USING NEURAL NETWORK
M. LEE, M. YOON, M. SUNWOO, S. PARK, K. LEE
Int J Automot Technol. 2006;7(5):637-644.
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Engine, Emission Technology |
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PREDICTION OF EMISSIONS USING COMBUSTION PARAMETERS IN A DIESEL ENGINE FITTED WITH CERAMIC FOAM DIESEL PARTICULATE FILTER THROUGH ARTIFICIAL NEURAL NETWORK TECHNIQUES
N. BOSE, I. RAGHAVAN
Int J Automot Technol. 2005;6(2):95-105.
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Intelligent Vehicle / Transportation Systems |
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A FUZZY NEURAL NETWORK-BASED DECISION OF ROAD IMAGE QUALITY FOR THE EXTRACTION OF LANE-RELATED INFORMATION
J. W. LEE, U.-K. YI, K. R. BAEK
Int J Automot Technol. 2005;6(1):53-63.
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