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1–50 von 520 Ergebnissen
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    Wireless Charging for EV/HEV with Prescriptive Analytics, Machine Learning, Cybersecurity and Blockchain Technology: Ongoing and Future Trends

    Kodakkadan, Abid Rahman / Manalikandy, Mithun / Koduri, Rajesh et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Weight Reduction of Double Wishbone-Arm Component in the Suspension System of an Automobile using Generative Design

    B, Beno Prince / Elsen, Renold / P G, Sachin et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Weighted Distance Metrics for Data Association Problem in Multi-Sensor Fusion

    Wang, Daihan / Zhang, Darui / Yang, Hang et al. | SAE Technical Papers | 2019
    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

    Weak Supervised Hierarchical Place Recognition with VLAD-Based Descriptor

    Fang, Kai / Wang, Yafei / Li, Zexing | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Visual Odometry Integrated Semantic Constraints towards Autonomous Driving

    Lan, FengChong / Chen, Jiqing / Yao, Siyu | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Vision-Based Real-Time Obstacle Detection System for Trains

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

    Virtual Sensors in Small Engines – Previous Successes and Promising Future Use Cases

    Ofner, Andreas Benjamin / Geiger, Bernhard / Sjoblom, Jonas et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking

    Salvi, Ameya / Buzhardt, Jake / Smereka, Jonathon M. et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Virtual Co-Simulation Platform for Test and Validation of ADAS and Autonomous Driving

    Wei, Bin / Chen, Huan / Song, Ke et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Vibration Rating Prediction Using Machine Learning in a Dynamic Skip Fire Engine

    Mandal, Aditya / Arvanitis, Anastasios / Chien, Li-Chun et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Vibration Comfort Control for HEV Based on Machine Learning

    Watzenig, Daniel / Zehetner, Josef / Radmilovic, Zoran | SAE Technical Papers | 2014
    Schlagwörter: Machine learning

    Vibration Analysis of Gear Defects using Machine Learning Approach

    Sadique, Anwar / Poulose, Jasmine / prasad SR, Vishnu | SAE Technical Papers | 2021
    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

    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

    Vehicle Kinematics-Based Image Augmentation against Motion Blur for Object Detectors

    Meng, Dejian / Zhang, Lijun / Huang, Luying et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Vehicle-In-The-Loop Workflow for the Evaluation of Energy-Efficient Automated Driving Controls in Real Vehicles

    Karbowski, Dominik / Han, Jihun / Jeong, Jongryeol et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Vehicle-Integrated Camera Based Rider Helmet Detection & Warning System

    Kishor, Kaushal / Tarte, Malay / Joshi, Umita | SAE Technical Papers | 2024
    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

    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

    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

    Using Reinforcement Learning and Simulation to Develop Autonomous Vehicle Control Strategies

    Navarro, Anthony / Fanas Rojas, Johan / Goberville, Nick et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Using Machine Learning to Guide Simulations Over Unique Samples from Trip Profiles

    Kapadia, Jimmy / Ahmed, N Khalid | SAE Technical Papers | 2018
    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

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

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

    Using a Statistical Machine Learning Tool for Diesel Engine Air Path Calibration

    Winward, Edward / Mohd Azmin, Farraen / Rutledge, John et al. | SAE Technical Papers | 2014
    Schlagwörter: Machine learning

    Use of tribological and AI models on vehicle emission tests to predict fuel savings through lower oil viscosity

    Tomanik, Eduardo / Morais, Paulo / Tomanik, Victor | 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

    Use of Machine Learning for Real-Time Non-Linear Model Predictive Engine Control

    Egan, Daniel / Zhu, Qilun / Prucka, Robert et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Use of Digital Olfaction to Standardize Cabin Odor Testing in Automotive Interiors

    Pasqualon, Aurélie / Facteau, Elizabeth / Bultel, Etienne et al. | SAE Technical Papers | 2021
    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

    Usefulness and Time Savings Metrics to Evaluate Adoption of Digital Twin Technology

    Moss, Benjamin / Eddy, Conner / Morris, John et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Unsettled Technology Opportunities for Vehicle Health Management and the Role for Health-Ready Components

    Holland, Steve | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Understanding User Requirements for Smart Cockpit of New Energy Vehicles: A Natural Language Process Approach

    Zhang, Chaokai / Fu, Hui / Zou, Jingkai et al. | SAE Technical Papers | 2022
    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

    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

    UAS Behaviour and Consistency Monitoring System for Countering Cyber Security Threats

    Economou, John / Knowles, Kevin / Felix, Rodrigo | SAE Technical Papers | 2014
    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

    Transfer Learning-Based Neural Network for Natural Frequency Prediction of Linear Dynamic Systems

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

    Traffic Flow Velocity Prediction Based on Real Data LSTM Model

    Wang, Jiaze / Li, Lin | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Traffic Flow Prediction Based on Cooperative Vehicle Infrastructure for Cloud Control Platform

    Chen, Chen / Zhang, Jingming / Chen, Qiushi et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Toward Unsupervised Test Scenario Extraction for Automated Driving Systems from Urban Naturalistic Road Traffic Data

    Thiem, Christoph / Weber, Nico / Konigorski, Ulrich | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Towards Semi-Supervised Causal Open Set Recognition

    Xue, Richard / Feng, Rui / Zhao, Rui-Wei | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Towards Self-Learning Energy Management for Optimal PHEV Operation Around Zero Emission Zones

    Lazovik, Elena / Kupper, Frank / Willems, Frank et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Towards an Intelligent Digital Cabin Twin to Support an Aircraft's Retrofit and Base Maintenance (SAE Paper 2022-01-0046)

    Deneke, Constantin / Krause, Dieter / Laukotka, Fabian N. et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning