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201–250 von 520 Ergebnissen
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    Transfer Learning-Based Neural Network for Natural Frequency Prediction of Linear Dynamic Systems

    Mammily, Sreejesh | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Comparison of CNN and LSTM for Modeling Virtual Sensors in an Engine

    Faghani, Ethan / Bellone, Mauro / Karayiannidis, Yiannis | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    IC Engine Dynamic oil Life Prediction Using Machine Learning Approach

    Kubasadgoudar, Ashwin / Gayakwad, Chirantan / Banapurmath, Nagaraj et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Research on Semi-active Air Suspensions of Heavy Trucks Based on a Combination of Machine Learning and Optimal Fuzzy Control

    Yuan, Huan / Zhou, Huaxiang / Nguyen, Vanliem | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Decision-Making for Intelligent Vehicle Considering Uncertainty of Road Adhesion Coefficient Estimation: Autonomous Emergency Braking Case

    Leng, Bo / Yan, Danshu / Zhang, Danyu et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Enhancing Traffic Safety by Developing Vehicle Safety Envelope with Real Time Data Interface and Machine Learning Based Sensor Fusion Platform

    Rowell, Aidan / Obando lng, David / Willis, James et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Process-Monitoring-for-Quality - A Step Forward in the Zero Defects Vision

    Escobar, Carlos / Arinez, Jorge / Morales-Menendez, Ruben | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Automotive Hood Design Based on Machine Learning and Structural Design Optimization

    Zhou, Guilin / Li, Jie / Wang, Ju et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Machine Learning-Based Turbine Vane Position Estimation for Advanced Engine Airpath Control

    Subramaniam, C.K. / Venkobarao, Vivek / Kopold, Richard et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Early Detection of Engine Anomalies - A Case Study for AI-Based Integrated Vehicle Health Management

    Reiter, Gil / Stein, Hilik / Williams, Kyle et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    A Neural Network Based Methodology for Virtual Sensor Development

    Nareid, Helge / Verdejo, Julian / Grimes, Michael | SAE Technical Papers | 2005
    Schlagwörter: Machine learning

    Machine-Learning-Based Modelling of Electric Powertrain Noise Control Treatments

    Kocsis, Attila / Jacqmot, Jonathan | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    On-Board Predictive Maintenance with Machine Learning

    Zhang, Tianyu / Sun, Yong / Xu, Zhentao | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Improvement of Knock Onset Determination Based on Supervised Deep Learning Using Data Filtering

    Song, Chiheon / Park, Jihwan / Min, Kyoungdoug et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Analysis and Interpretation of Data-Driven Closure Models for Large Eddy Simulation of Internal Combustion Engine

    Daly, Conor / Schmidt, David / Haghshenas, Majid et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Research on Autonomous Driving Decision Based on Improved Deep Deterministic Policy Algorithm

    Wu, Jian / YK, Shi / Song, Shiping | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Tire Track Identification: A Method for Drivable Region Detection in Conditions of Snow-Occluded Lane Lines

    Goberville, Nicholas A. / Kadav, Parth / Asher, Zachary D. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers

    Reddy, C. J. / Karuppuswami, Saranraj | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Automatic and Interpretable Predictive Maintenance System

    Yu, Wenbo / Li, Xuejiao / Sun, Yong | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    School Bus Safety: Enhanced Security through People Counter and Face Recognition System

    Deshmukh, Kaustubh | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    The Impact of Uncertainty Quantification and Sensitivity Analysis in CAE Simulation based Regulatory Compliance

    Jones, Gavin / Mahajan, Rahul / Deshpande, Saurabh | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Multi-agent Decision-Making Framework Based on Value Decomposition for Connected Automated Vehicles at Highway On-Ramps

    Wang, Jinzhu / Zhu, Xichan / Ma, Zhixiong | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Machine Learning Based Flight State Prediction for Improving UAV Resistance to Uncertainty

    Wang, Fang / Mu, Jianfeng / Zeng, Xinyue et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Real-Time RCS Extracted Features for Over-ridable Object Classification

    Nebhwani, Akash / Dashpute, Anant | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    A Time-Saving Methodology for Optimizing a Compression Ignition Engine to Reduce Fuel Consumption through Machine Learning

    Arab, Majid / Rahnama, Pourya / Reitz, Rolf D. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Application of a Machine Learning Approach for Selective Catalyst Reduction Catalyst 3D-CFD Modeling: Numerical Method Development and Experimental Validation

    Sapio, Francesco / Buitoni, Giacomo / Cozza, Ivan Flaminio et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Data Synthesis Methods for Parking-Slot Detection

    Meng, Chao / Li, Jian / Mei, Jinren et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Multi-objective Optimization for Connected and Automated Vehicles Using Machine Learning and Model Predictive Control

    Zhu, Haojie / Hofmann, Heath / Feng, Shuo et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Weather Classification for Lidar based on Deep Learning

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

    Executable Digital Twin - Prevent the Early Failure of a Truck Anchorage Using Smart Virtual Sensors

    Cornelis, Bram / Buss, Dayane / Risaliti, Enrico et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Use of convolutional neural network for sensor modeling and on-board diagnostic

    Provase, Ivan Sanches | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Next-Gen Maintenance Framework for Urban Air Mobility Vehicles

    Elahi, Imtiaz / Kadeppagari, Murali / Panicker, Renju et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Machine Health Prediction Enhancement Using Machine Learning

    Jalluri, Chandra / Kalamdani, Rajeev / Clifton, Robert et al. | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    Development of a Prediction Model for Tire Tread Pattern Noise Based on Convolutional Neural Network with RMSProp Algorithm

    Lee, Jaehun / Yum, Kiho / Lee, Sang Kwon et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    A Hybrid Classification of Driver’s Style and Skill Using Fully-Connected Deep Neural Networks

    Hu, Hongyu / Liu, Jiarui / Hu, Ruofei | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Machine Learning-Based Eco-Approach and Departure: Real-Time Trajectory Optimization at Connected Signalized Intersections

    Esaid, Danial / Ye, Fei / Wu, Guoyuan et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Control Model of Automated Driving Systems Based on SOTIF Evaluation

    Haifeng, Cui / Yu, Fan / Zhang, Kaijiong et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Technology from Highly Automated Driving to Improve Active Pedestrian Protection Systems

    Watzenig, Daniel / Schratter, Markus / Wimmer, Peter et al. | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    ERRATUM: Classification of Contact Forces in Human-Robot Collaborative Manufacturing Environments

    Drouot, Adrien / Zhao, Ran / Ratchev, Svetan | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Self-Learning Control Strategy for Electrified Off-Highway Machines to Optimize Energy Efficiency

    Pohlandt, Christian / Geimer, Marcus | SAE Technical Papers | 2015
    Schlagwörter: Machine learning

    Using Deep Learning to Predict the Engine Operating Point in Real-Time

    Lakshmanan, Sridhar / Kolachalama, Srikanth | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Research on Garbage Recognition of Intelligent Sweeper Vehicle Based on Improved PSPNet Algorithm

    Ou, Chunguo / Yang, Chunyun / Tan, Gangfeng et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Development of a Novel Machine Learning Methodology for the Generation of a Gasoline Surrogate Laminar Flame Speed Database under Water Injection Engine Conditions

    Forte, Claudio / Bianchi, Gian Marco / Cazzoli, Giulio et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Anomaly Detection Using Convolutional Neural Network and Generative Adversarial Network

    Mohanan, Amritha / Padathil Veerendrakumar, Praveen / Padmanabha Rajeswari, Priyanka Pillai et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Distilled Routing Transformer for Driving Behavior Prediction

    Yi, Jiangang / Gao, Jun / Murphey, Yi Lu | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Selection of Surrogate Models with Metafeatures

    Srinivasan, Akash / Kelkar, Atul / Turner, Cameron J. et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Developing Safe Software for Autonomous Systems

    Ghribi, Atef / Di Camillo, Stephen | SAE Technical Papers | 2022
    Schlagwörter: Machine learning