Synonyms were used for: Lernen Maschinelles Lernen
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121–140 of 520 hits
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    Vehicle Following Hybrid Control Algorithm Based on DRL and PID in Intelligent Network Environment

    Hu, Bo / Chen, Jiahui / Tan, Senlin et al. | SAE Technical Papers | 2022
    Keywords: Machine learning

    Development and Assessment of Machine-Learning-Based Intake Air Charge Prediction Models for a CNG Engine

    Ni, Jimin / Zhang, Peng / Shi, Xiuyong | SAE Technical Papers | 2022
    Keywords: Machine learning

    Recognizing Driver Braking Intention with Vehicle Data Using Unsupervised Learning Methods

    Lv, Chen / Cao, Dongpu / Wang, Hong et al. | SAE Technical Papers | 2017
    Keywords: Machine learning

    Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function

    Upadhyay, Devesh / Yang, Hang / Shui, Huanyi et al. | SAE Technical Papers | 2021
    Keywords: Machine learning

    Piston Slap Condition Monitoring and Fault Diagnosis Using Machine Learning Approach

    Rameshkumar, K. / Kochukrishnan, Praveen / Srihari, S. | SAE Technical Papers | 2023
    Keywords: Machine learning

    Use of Machine Learning to Predict the Injuries of the Occupant of a Vehicle Involved in an Accident

    Howlader, Ashim | SAE Technical Papers | 2021
    Keywords: Machine learning

    A Digital Twin Based Approach for Simulation and Emulation of an Automotive Paint Workshop

    Ruperez lng, Adrián / Martinez, Aitor / Lopez, Blanca et al. | SAE Technical Papers | 2021
    Keywords: Machine learning

    Object Detection Method of Autonomous Vehicle Based on Lightweight Deep Learning

    Guo, Rong / Xie, Xin | SAE Technical Papers | 2021
    Keywords: Machine learning

    Prediction of ECN Spray—A Characteristics Using Machine Learning

    Mohan, Balaji / Badra, Jihad | SAE Technical Papers | 2022
    Keywords: Machine learning

    Multi-detection Head of Point Cloud Based on Sample Feature Grouping

    Ma, Bing / Wang, Dengjiang / Ma, Gang et al. | SAE Technical Papers | 2022
    Keywords: Machine learning

    Practical Approaches for Detecting DoS Attacks on CAN Network

    Sambranikar, Meghana / SS, Narendra Kumar / Kalyanasundaram, Pallavi et al. | SAE Technical Papers | 2018
    Keywords: Machine learning

    Brake Pad Life Monitoring System Using Machine Learning

    Bhambri, Mihir / lahase, Rahul / Iqbal, Shoaib | SAE Technical Papers | 2024
    Keywords: Machine learning

    Prognostics and Machine Learning to Assess Embedded Delamination Tolerance in Composites

    Dattaguru, B. / Nambisan, Savitha Narayanan | SAE Technical Papers | 2022
    Keywords: Machine learning

    Analytic Study of China’s Latest New Energy Vehicle Market Subsidies in Facing of the Carbon Neutrality Goal

    Li, Xinyi / Wan, Yaya / Liao, Yuhong et al. | SAE Technical Papers | 2023
    Keywords: Machine learning

    Estimation of End of Life of Lithium-Ion Battery Based on Artificial Neural Network and Machine Learning Techniques

    Baidya, Kapil / Lahari, Kothala / Sharma, Minakshi | SAE Technical Papers | 2021
    Keywords: Machine learning

    Machine Learning-Aided Management of Motorway Facilities Using Single-Vehicle Accident Data

    Alawad, Hamad / Saito, Motoyasu / Kaewunruen, Sakdirat et al. | SAE Technical Papers | 2021
    Keywords: Machine learning

    Determination of Principal Variables for Prediction of Fuel Economy using Principal Component Analysis

    C, Karthick / Sriganesh, Rajagopal / K, Rajakumar et al. | SAE Technical Papers | 2019
    Keywords: Machine learning

    Estimation of Vehicle Tire-Road Contact Forces: A Comparison between Artificial Neural Network and Observed Theory Approaches

    Victorino, Alessandro / Alatorre, Angel / Sandu, Corina et al. | SAE Technical Papers | 2018
    Keywords: Machine learning

    Intelligent Diagnosis for Fuel Line Fault of Diesel Engine Based on Vibration Signatures

    Mandke, Devendra / Dharmadhikari, Nitin / Chaudhari, Parag et al. | SAE Technical Papers | 2024
    Keywords: Machine learning

    Naturalistic Driving Behavior Analysis under Typical Normal Cut-In Scenarios

    Yu, Feng / Cao, Jianyong / Zhu, Xichan et al. | SAE Technical Papers | 2019
    Keywords: Machine learning