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keywords:("Machine learning")

    Development of Coated Gasoline Particulate Filter Design Method Combining Simulation and Multi-Objective Optimization

    Takahasi, Hiroaki / Maekawa, Ryosuke / Ota, Yuki | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Artificial Intelligence for Damage Detection in Automotive Composite Parts: A Use Case

    Ciampaglia, Alberto / De Gregorio, Alessandro / Mastropietro, Antonio et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Deep Learning-Based Queue-Aware Eco-Approach and Departure System for Plug-In Hybrid Electric Buses at Signalized Intersections: A Simulation Study

    Esaid, Danial / Ye, Fei / Wu, Guoyuan et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    RouteE: A Vehicle Energy Consumption Prediction Engine

    Holden, Jacob / Cappellucci, Jeff / Reinicke, Nicholas | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Review and Outlook on Energy Consumption Estimation Models for Electric Vehicles

    Dubey, Abhishek / Laszka, Aron / Wu, Guoyuan et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Physics-Based Misbehavior Detection System for V2X Communications

    Andrade Salazar, Alejandro Antonio / Petit, Jonathan / McDaniel, Patrick Drew et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Prediction of Vehicle Cabin Occupant Thermal Comfort Using Deep Learning and Computational Fluid Dynamics

    Warey, Alok / Khalighi, Bahram / Venkatesan, Ganesh et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Comparative Study of Longitudinal Vehicle Control Systems in Vehicle-to-Infrastructure Connected Corridor

    Fitzpatrick, Benjamin / King, Brian / Yoon, Hwan-Sik et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Model-Free Intelligent Control for Antilock Braking Systems on Rough Roads

    Hamersma, Herman A. / Abreu, Ricardo / Botha, Theunis R. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Ride Comfort Improvement with Preview Control Semi-active Suspension System Based on Supervised Deep Learning

    Gu, Cansong / Shi, Chenlu / Su, Lili et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    The role of autonomy in space exploration

    Smith, Benjamin D. | NTRS | 2001
    Schlagwörter: machine learning systems

    Hierarchical Bayesian Networks for Predicting the Structural Behavior of Coupled Systems

    Stoll, Georg / Atzrodt, Heiko / Schmidt, Hendrik et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving

    Zhang, Dong / Wang, Guojun / Ni, Hailong et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Prediction of Weather Impacted Airport Capacity using Ensemble Learning

    Wang, Yao Xun | NTRS | 2011
    Schlagwörter: Machine learning

    Smart OTA Scheduling for Connected Vehicles using Prescriptive Analytics and Deep Reinforcement Learning

    Mohd Azmin, Farraen / Mustafa, Kenan | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Data-Driven Prediction of Key Combustion Parameters Based on an Intelligent Diesel Fuel Injector for Large Engine Applications

    Wimmer, Andreas / Laubichler, Christian / Negri, Claudio et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Artificial Intelligence-Based Field-Programmable Gate Array Accelerator for Electric Vehicles Battery Management System

    Patil , B. P. / Nagarale, Satyashil D. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Learning classifiers for science event detection in remote sensing imagery

    Castano, Rebecca / Mazzoni, Dominic / Tang, Nghia et al. | NTRS | 2005
    Schlagwörter: machine learning

    Recurrent Neural Network Model for On-Board Estimation of the Side-Slip Angle in a Four-Wheel Drive and Steering Vehicle

    King, Julian / Fainello, Marco / Ballesio, Stefano et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Vibration Rating Prediction Using Machine Learning in a Dynamic Skip Fire Engine

    Mandal, Aditya / Arvanitis, Anastasios / Chien, Li-Chun et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

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