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51–100 von 644 Ergebnissen
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    Remaining Useful Life Prediction of Lithium-ion Battery Based on Data-Driven and Multi-Model Fusion

    Fan, Longyu / Xu, Qizhen / Lu, Xin et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Deep Self-Supervised Learning Models for Automotive Systems

    Kurumbudel, Prashanth Ram | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Bridging the Gap between ISO 26262 and Machine Learning: A Survey of Techniques for Developing Confidence in Machine Learning Systems

    Joyce, Jeffrey / Serna, Jose / Millet, Laure et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Autonomous Quadcopter for Building Construction Monitoring

    V, Hariprasad / V, Karthick Sreenivasan / V, Sathish et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    The Detection of Visual Distraction using Vehicle and Driver-Based Sensors

    Schwarz, Chris / Gaspar, John / Lee, John et al. | SAE Technical Papers | 2016
    Schlagwörter: Machine learning

    Failure Prediction for Robot Reducers by Combining Two Machine Learning Methods

    Takagi, Toru / Tanaka, Yasuhiro | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Reinforcement Learning Technique for Parameterization in Powertrain Controls

    Sidharthan, Gautham / Venkobarao, Vivek | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    THC Concentration Estimation Model using FTIR Spectrum

    Yabushita, Hirotaka / Nagaoka, Makoto / Yoshioka, Masaya et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    No Cost Autonomous Vehicle Advancements in CARLA through ROS

    Prescinotti Vivan, Gabriel / Rojas, Johan / Goberville, Nick et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Comparative Study of Recurrent Neural Network Architectures for Battery Voltage Prediction

    ZHU, DI / Cho, Gyouho / Campbell, Jeffrey | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Comparison Study on Control Strategies for Optimization of an Anti-Lock Brake System Algorithm Based on Tire Force Measurement in Pure and Combined Slip Conditions of an Automobile

    Mehta, Harshal Piyush / Maurya, Mithilesh / Shaikh, Parvez Shagir et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Understanding the Stick Slip Behavior of Plastics and Target Setting: An OEM Perspective

    Kumar, Amit / Raghavendran, Prasath / Mohammed, Riyazuddin et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Machine Learning Based Optimal Energy Storage Devices Selection Assistance for Vehicle Propulsion Systems

    Xu, Bin / Rizzo, Denise / Onori, Simona | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Vehicle Outer Body Panel Oil Canning Performance Prediction Using Machine Learning

    Khatavkar, Akshay / Sahu, Dilip / Belur, Nikhil et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Study of Derived Battery Features for Real-Time Estimation of SOH and RUL of EV Battery Using Data Analysis

    Nangare, Kapilraj / Nidubrolu, Kranthi / Gaikwad, Pooja | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Refinement of Gaussian Process Regression Modeling of Pilot-Ignited Direct-Injected Natural Gas Engines

    Karpinski-Leydier, Michael / Kirchen, Patrick / Nagamune, Ryozo | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Tuning of Turbulence Model Closure Coefficients Using an Explainability Based Machine Learning Algorithm

    Bounds, Charles Patrick / Uddin, Mesbah / Desai, Shishir | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Vehicle Velocity Prediction and Energy Management Strategy Part 1: Deterministic and Stochastic Vehicle Velocity Prediction Using Machine Learning

    Kolmanovsky, Ilya / Liu, Kuan / Huang, Mike et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Deep Double Q-Learning Method for CAVs Traffic Signal Control

    Zhao, Chunxia / Lin, Peiqun / Liu, QingChao et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Synthesizing Data for Autonomous Driving: Multi-Agent Reinforcement Learning Meets Augmented Reality

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

    Nonlinear Control of a Ground Vehicle using Data-Driven Dynamic Models

    Weaver, Andrew / Chour, Kenny / Hassen, Samir et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Hybrid Modeling of a Catalyst with Autoencoder Based Selection Strategy

    März, Christian / Guehmann, Clemens / Behrendt, Frank et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Deep Optimization of Catalyst Layer Composition via Data-Driven Machine Learning Approach

    Xie, Biao / Wang, Bowen / Zhao, Dezong et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Hybrid Method for Automotive Entity Recognition

    Manalikandy, Mithun / Sivaraman, Navya K / Koduri, Rajesh | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Reinforcement Learning Based Parking Space Egress for Autonomous Driving

    Theerthala, Raghu Ram / A R, Vimal Kumar | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Driver Distraction Detection with a Two-stream Convolutional Neural Network

    Nie, Linzhen / Ma, Yuefeng / Yin, Zhishuai | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Predictive Model Development Using Machine Learning for Engine Cranktrain System

    S, Aravamuthan / Sharma, Ayush / K, Karthikeyan et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Prediction of Autoignition and Flame Properties for Multicomponent Fuels Using Machine Learning Techniques

    DelVescovo, Dan / Ge, Haiwen / Shah, Neel et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    AI-Based Rotation Aware Detection of Aircraft and Identification of Key Features for Collision Avoidance Systems (SAE Paper 2022-01-0036)

    Kwasniewska, Alicja / MacAllister, Anastacia / Gamba, David et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Prediction of Hybrid Electric Bus Speed Using Deep Learning Method

    Hwang, Giyeon / Nguyen, Huy / Park, Jihwan et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Machine Learning based Operation Strategy for EV Vacuum Pump

    Mullapudi, Dattatreyudu / Dake, Prudhvi / mohan, Somanathan | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Machine Learning Based Design of Open Cell Foams for Crash Energy Absorption - A Pilot Study

    Zhu, Feng / Zhou, Runzhou / Yang, Zaihan | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Machine Learning Techniques for Classification of Combustion Events under Homogeneous Charge Compression Ignition (HCCI) Conditions

    Voice, Alexander / Boehman, Andre / Angikath Shamsudheen, Fabiyan et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Research on Vulnerable Road User Detection Algorithm based on Improved Deep Learning

    Sun, Bowen / Lv, Fengyao / Zhou, Guilin et al. | SAE Technical Papers | 2023
    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

    Dual-Motor-BEV Controls Optimization

    Chopra, Ujjwal | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm

    Lee, Seok Bong / Suh, Kyung-Duck | Online Contents | 2019
    Schlagwörter: machine learning

    Personalized Driver Workload Estimation in Real-World Driving

    Kochhar, Dev S. / Murphey, Yi / Xie, Yongquan | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Development & Testing of a Camera-Based Driver Monitoring System

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

    Energy Management Based on D4QN Reinforcement Learning for a Series-Parallel Multi-Speed Hybrid Electric Vehicle

    Zhuang, Caihua / Lou, Diming / Fang, Liang et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Support-Vector Machine Model to Predict the Dynamic Performance of a Heavy-Duty Natural Gas Spark Ignition Engine

    Ulishney, Christopher / Dumitrescu, Cosmin / Liu, Jinlong et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything

    Liu, Sheng / Elangovan, Vivekanandh / Xiang, Weidong | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Comfort Improvement for Autonomous Vehicles Using Reinforcement Learning with In-Situ Human Feedback

    Xiang, Jun / Guo, Longxiang | SAE Technical Papers | 2022
    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

    A Method of Reporting and Prioritizing Faults for Aircraft Downtime Reduction

    Barkat, Mohammad / N, Pradeep / Karan, Vivek | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    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

    A Forward Collision Warning System Using Deep Reinforcement Learning

    Dargahi, Javad / Zadeh, Mehrdad / Fekri, Pedram 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

    Predicting Distillation Properties of Gasoline Fuel Blends using Machine Learning

    Karvo, Anna / Santasalo-Aarnio, Annukka / Toldy, Arpad et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Machine-Learning-Augmented Predictive Modeling of Turbulent Separated Flows over Airfoils

    Singh, Anand Pratap | Online Contents | 2017
    Schlagwörter: Machine learning