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101–150 von 520 Ergebnissen
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    Comparison of Deep Learning Architectures for Dimensionality Reduction of 3D Flow Fields of a Racing Car

    Hilbert, Marc / Reck, Michaela / Hilhorst, René et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Classification of Time Series Measurement Data for Shift Control of Automatic Transmission of Vehicles Using Machine Learning Techniques

    Moriyama, Eiji / Nakagawa, Hiroshi / Miyake, Noriyuki et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Multi-Objective Classification of Three-Dimensional Imaging Radar Point Clouds: Support Vector Machine and PointNet

    Bai, Jie / Long, Kai / Dong, Lianfei et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation

    Ayyad, Ahmed / Prohm, Christopher / Hilbert, Marc et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    The Missing Link: Developing a Safety Case for Perception Components in Automated Driving

    Huang, Chengjie / Kuwajima, Hiroshi / Yasuoka, Hirotoshi et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    A Crack Detection Method for Self-Piercing Riveting Button Images through Machine Learning

    Freis, Amanda / Huff, Garret / Huang, Li et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Subway Obstacle Detection System Based on Multi-sensor Data Fusion

    Xue, Dan / Zhou, Mingyu / Feng, Rui et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    A Forward Collision Warning System Using Deep Reinforcement Learning

    Dargahi, Javad / Zadeh, Mehrdad / Fekri, Pedram et al. | SAE Technical Papers | 2020
    Schlagwörter: 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
    Schlagwörter: Machine learning

    Development of a Camera-Based Driver State Monitoring System for Cost-Effective Embedded Solution

    Sauer, Maximilian / Kundu, Subrata / Wingert, Tobias et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Research on Subjective Rating Prediction Method for Ride Comfort with Learning

    Akai, Akihito / Ichimaru, Nobuyuki / Hirao, Ryusuke | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    AI-Based Virtual Sensing of Gaseous Pollutant Emissions at the Tailpipe of a High-Performance Vehicle

    Brusa, Alessandro / Petrone, Boris / Giovannardi, Emanuele et al. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    A Hybrid System and Method for Estimating State of Charge of a Battery

    Gogate, Aditya / Chakraborty, Debango / Ghivari, Mahesh et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Adjoint-Based Model Tuning and Machine Learning Strategy for Turbulence Model Improvement

    Ren, Chao / Wu, Haibo / Zhou, Hua et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    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
    Schlagwörter: 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
    Schlagwörter: Machine learning

    Backseat Driver - Driver Advisory System

    Abhyankar, Ranjit Vinayak / A, Sreenath | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Non-Invasive Real Time Error State Detection for Tractors Using Smart Phone Sensors & Machine Learning

    Chandrika Sasikumar, Keerthana / Kuchimanchi, Rajeswar / CG, Siddalingayya | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Piston Slap Condition Monitoring and Fault Diagnosis Using Machine Learning Approach

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

    Prediction of ECN Spray—A Characteristics Using Machine Learning

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

    Prognostics and Machine Learning to Assess Embedded Delamination Tolerance in Composites

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

    Sensitivity Analysis of Reinforcement Learning-Based Hybrid Electric Vehicle Powertrain Control

    Yoon, Hwan-Sik / Olson, Jordan / Yao, Zhengyu | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Machine Learning for Fuel Property Predictions: A Multi-Task and Transfer Learning Approach

    Vermeire, Florence / Verhelst, Sebastian / Larsson, Tara | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Method and System for Creating Digital Twin of a Sensor for a Vehicle in Real Time

    Velichappattil, Anvar Hussain / Ramesh, Prashanth Mysore | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function

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

    “Ease of Driving” Road Classification for Night-time Driving Conditions

    Oguchi, Kentaro / Pillai, Preeti J. / Yalla, Veeraganesh | SAE Technical Papers | 2016
    Schlagwörter: 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
    Schlagwörter: 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
    Schlagwörter: Machine learning

    Using Deep Reinforcement Learning for Hybrid Electric Vehicle Energy Management under Consideration of Dynamic Emission Models

    Lorenz, Alexander / Bäker, Bernard / Fechert, Robert et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Object Detection Method of Autonomous Vehicle Based on Lightweight Deep Learning

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

    Practical Approaches for Detecting DoS Attacks on CAN Network

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

    Brake Pad Life Monitoring System Using Machine Learning

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

    Machine Learning for Rocket Propulsion Health Monitoring

    Schwabacher, Mark | SAE Technical Papers | 2005
    Schlagwörter: 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
    Schlagwörter: 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
    Schlagwörter: 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
    Schlagwörter: Machine learning

    Predictive Maintenance of Automotive Component Using Digital Twin Model

    JAGTAP, PRAMOD / Hiwase, Shrikant Deokrishna | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Crash Safety Design for Lithium-ion Vehicle Battery Module with Machine Learning

    Zhu, Feng / Logakannan, Krishna | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Research on Driver Driving Style and Driving Condition Recognition Model Based on SVM and XGBoost

    Shi, Shaojian / Wang, Tao / Song, Wei et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Synthetic Scenario Generation from Real Road Data for Indian Specific ADAS Function Verification and Validation

    Kale, Jyoti Ganesh / Karle, Manish / R, Manish et al. | SAE Technical Papers | 2024
    Schlagwörter: 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
    Schlagwörter: Machine learning

    Fault Classification of Face Milling Tool Using Vibration Signals and Histogram Features – A Machine Learning Approach

    V, Muralidharan / D, Pradeep Kumar / S PhD, Ravikumar et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Flow Field Data Mining Based on a Compact Streamline Representation

    Graening, Lars / Ramsay, Thomas | SAE Technical Papers | 2015
    Schlagwörter: Machine learning

    Naturalistic Driving Behavior Analysis under Typical Normal Cut-In Scenarios

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

    Vehicle Detection Based on Deep Neural Network Combined with Radar Attention Mechanism

    Bai, Jie / Huang, Libo / Li, Sen et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Prediction of Engine-Out Emissions Using Deep Convolutional Neural Networks

    Warey, Alok / Gao, Jian / Grover, Ronald | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Development of 80- and 100- Mile Work Day Cycles Representative of Commercial Pickup and Delivery Operation

    Duran, Adam / kresse, John / Li, Ke et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning