Synonyme wurden verwendet für: Lernen Maschinelles Lernen
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61–80 von 455 Ergebnissen
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    Data Synthesis Methods for Parking-Slot Detection

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

    Reinforcement Learning Based Fast Charging of Electric Vehicle Battery Packs

    Xu, Bin / Zhang, Jiangfeng / Abbasi, Mohammad Hossein et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Multi-Objective Bayesian Optimization Supported by Deep Gaussian Processes

    Tovar, Andres / Valladares, Homero | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Machine Learning Approach to Predict Bead Height and Width in Wire Arc Additive Manufacturing Sample

    Vincent, Akash / Natarajan, Harshavardhana | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Vehicle Forward Collision Warning Based on Improved Deep Neural Network

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

    Neural Network Model to Predict the Thermal Operating Point of an Electric Vehicle

    Malik, Hafiz / Kolachalama, Srikanth | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Renewal Fuzzy Logic Energy Management System

    Ouyang, Qianyu | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Reconfigurable Battery Topology for Cell Balancing

    Zhang, Jiangfeng / Ye, Yiming | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Multiobjective Metamodel-Based Design Optimization—A Review and Classification Approach Using the Example of Engine Development

    Herdt, Anatoli / Hildenbrand, Arne / Wachtmeister, Georg et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Initial Development of a Physics-Aware Machine Learning Framework for Soot Mass Prediction in Gasoline Direct Injection Engines

    Jayaprakash, Bharat / Wilmer, Brady / Northrop, William F. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Battery Electric Vehicle Control Strategy for String Stability Based on Deep Reinforcement Learning in V2V Driving

    Borneo, Angelo / Misul, Daniela / Miretti, Federico et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Methodology for Multi-Objective Design Optimization (MDO) of Automotive Suspension Systems

    Ganesh, Lingadalu | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Semantic Segmentation Algorithm for Intelligent Sweeper Vehicle Garbage Recognition Based on Improved U-net

    Tan, Gangfeng / Liu, Yang | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Intersection Signal Control Based on Speed Guidance and Reinforcement Learning

    Lu, Gaohui / Rehman, Hamza / Chen, Xiatong et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Applying Machine Learning on automotive customer quality data to improve user experience and increase industry competitiveness

    de Miranda Junior, Airton Wagner / Torres Fernandes Veiga, Daniel Thadeu / Nascimento Silva, Luana et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A New Optimal Design of Stable Feedback Control of Two-Wheel System Based on Reinforcement Learning

    Zhu, Xuebin / Yu, Zhenghong | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Metrics for Machine Learning Models to Facilitate SOTIF Analysis in Autonomous Vehicles

    Avalos Gonzalez, Carlos / Madala, Kaushik | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Containerization Approach for High-Fidelity Terramechanics Simulations

    Salvi, Ameya / Gorsich, David / Smereka, Jonathon et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Advanced Modelling of Frequency Dependent Damper Using Machine Learning Approach for Accurate Prediction of Ride and Handling Performances

    Thanapati, Alok Ranjan / Anthonysamy, Baskar / Deshmukh, Chandrakant Ramrao et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning