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Particulate matter (PM) (4) Fuel consumption (3) Neural networks (3) Coatings, colorants and finishes (2) Cost analysis (2) Diesel / compression ignition engines (2) Driver assistance systems (2) Fuel economy (2) Mathematical models (2) Nitrogen oxides (2) Optimization (2) Test procedures (2) Advanced driver assistance systems (ADAS) (1) Architecture (1) Assembling (1) Autonomous vehicles (1) Avionics (1) Ceramics (1) Cetane (1) Chassis (1) Combustion and combustion processes (1) Computer software and hardware (1) Control systems (1) Data acquisition and handling (1) Design processes (1) Diesel fuels (1) Diesel particulate filters (1) Durability (1) Education and training (1) Electric power (1) Emissions (1) Energy conservation (1) Exhaust emissions (1) Exhaust gas recirculation (EGR) (1) HCCI engines (1) Hydrocarbons (1) Liability (1) Noise (1) Particulate filters (1) Pedestrian safety (1) Pressure (1) Product development (1) Radar (1) Real-time data (1) Recycling (1) Reliability (1) Safety belts (1) Simulation and modeling (1) Simulators (1) Systems engineering (1) Technical review (1) Test equipment and instrumentation (1) Vehicle drivers (1)

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Cheng, Shuai (2) Chi, Jianning (2) Hu, Jun (2) Levendis, Yiannis A. (2) Liu, Wei (2) Tian, Huan (2) Wu, Chengdong (2) Yu, Xiaosheng (2) Yuan, Huai (2) Atlas, David (1) Cai, H. (1) Crapo, Andy (1) Durling, Michael (1) Field, F. R. (1) Gao, Na (1) Geffen, C. A. (1) Goldsborough, S. Scott (1) Gong, Yuan (1) Hardy, Kenneth R. (1) Hountalas, D. T. (1)

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Select Quantifying Uncertainty in Predictions of Kinetically Modulated Combustion: Application to HCCI Using a Detailed Transportation Fuel Model

Quantifying Uncertainty in Predictions of Kinetically Modulated Combustion: Application to HCCI Using a Detailed Transportation Fuel Model

Technical Paper
2018-01-1251
DOI: https://doi.org/10.4271/2018-01-1251

Published 2018-04-03 by SAE International in United States

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Select Increasing Development Assurance for System and Software Development with Validation and Verification Using ASSERT™

Increasing Development Assurance for System and Software Development with Validation and Verification Using ASSERT™

Technical Paper
2019-01-1370
DOI: https://doi.org/10.4271/2019-01-1370

Published 2019-03-19 by SAE International in United States

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Select Recent Developments in the Design of a Ceramic Automotive Oil Filter

Recent Developments in the Design of a Ceramic Automotive Oil Filter

Technical Paper
2011-01-1153
DOI: https://doi.org/10.4271/2011-01-1153

Published 2011-04-12 by SAE International in United States

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Select A Multi-Objective Recognition Algorithm with Time and Space Fusion

A Multi-Objective Recognition Algorithm with Time and Space Fusion

Technical Paper
2019-01-1047
DOI: https://doi.org/10.4271/2019-01-1047

Published 2019-04-02 by SAE International in United States

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Select An Improved Multi-Pedestrian Tracking System Based on Deep Neural Network

An Improved Multi-Pedestrian Tracking System Based on Deep Neural Network

Technical Paper
2019-01-1055
DOI: https://doi.org/10.4271/2019-01-1055

Published 2019-04-02 by SAE International in United States

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Select Edge Enhanced Traffic Scene Segmentation Algorithm with Deep Neural Network

Edge Enhanced Traffic Scene Segmentation Algorithm with Deep Neural Network

Technical Paper
2017-01-1967
DOI: https://doi.org/10.4271/2017-01-1967

Published 2017-09-23 by SAE International in United States

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Select Total Cost Analysis of Lead-Free Automotive Electrocoating

Total Cost Analysis of Lead-Free Automotive Electrocoating

Technical Paper
981165
DOI: https://doi.org/10.4271/981165

Published 1998-02-01 by SAE International in United States

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Select On the Effectiveness and Economy of Operation of ART-EGR Systems that Reduce Diesel Emissions

On the Effectiveness and Economy of Operation of ART-EGR Systems that Reduce Diesel Emissions

Technical Paper
980537
DOI: https://doi.org/10.4271/980537

Published 1998-02-23 by SAE International in United States

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Select Economic and Environmental Tradeoffs in New Automotive Painting Technologies

Economic and Environmental Tradeoffs in New Automotive Painting Technologies

Technical Paper
981164
DOI: https://doi.org/10.4271/981164

Published 1998-02-23 by SAE International in United States

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Select Filtration Assessment and Thermal Effects on Aerodynamic Regeneration in Silicon Carbide and Cordierite Particulate Filters

Filtration Assessment and Thermal Effects on Aerodynamic Regeneration in Silicon Carbide and Cordierite Particulate Filters

Technical Paper
1999-01-0466
DOI: https://doi.org/10.4271/1999-01-0466

Published 1999-03-01 by SAE International in United States

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