Synonyme wurden verwendet für: Lernen maschinelles Lernen
Suche ohne Synonyme: keywords:(maschinelles Lernen)

301–350 von 520 Ergebnissen
|

    LiDAR Based Sensor Verification

    Jayaraman, Arvind / Ragunathan, Balakumar / Kurtz, Nathan et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Driving Behavior Modelling Framework for Intelligent Powertrain Health Management

    Doikin, Aleksandr / Lin, Chunxing / Angiolini, Emanuele et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Enhancing Meta Model of the Brake Pad Friction Coefficient Using the Explainable Machine Learning

    Jang, Jiwoo / Bang, Sunghoon / Cho, Sunghyun et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Machine Learning Algorithm for the Prediction of Idle Combustion Uniformity

    Zouani, Abdelkrim / Li, Xiaoqi | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Deployment of OTA-Upgradable Teammate Advanced Drive

    Caveney, Derek / Itabashi, Kaiji / Kitago, Masaki et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Three-Dimensional Object Detection Based on Deep Learning in Enclosed Scenario

    Yu, Guizhen / Cui, Jieming / Zhang, Na et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Driving Behavior Analysis Software for AI-Driven Autonomous Vehicles

    Souflas, Ioannis / Songur, Noyan | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Fault Diagnosis and Prediction in Automotive Systems with Real-Time Data Using Machine Learning

    Mollan, Calahan / Hulbert, Scott / Pandey, Vijitashwa | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Artificial Intelligence in Air Cargo System

    Adavalath Puthiyaveettil, Sayooj / Chitragar, Venkatesh / Vijaya Chandran, Vinayak et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Heterogeneous Machine Learning on High Performance Computing for End to End Driving of Autonomous Vehicles

    Jewell, Brian / Haas, Nicholas / Graf, Peter et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Safety Assurance Concepts for Automated Driving Systems

    Sarvi, Majid / Sweatman, Peter / Ballingall, Stuart | SAE Technical Papers | 2020
    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

    A Reconfigurable Battery Topology for Cell Balancing

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

    Methods for Prediction, Simulation and Verification of Real-Time Software Architectural Design based on Machine Learning Algorithms

    El-Faramawy, Ibrahim / Elmawazini, Mohamed / Taie, Mostafa Anwar | SAE Technical Papers | 2015
    Schlagwörter: Machine learning

    MVMDNet: A Weakly-Supervised Multi-View Enhancing Network for Mass Detection in Mammograms

    Zhao, Huairui / Hua, Jia / Xu, Jianrong et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Effects of the Feature Extraction from Road Surface Image for Road Induced Noise Prediction Using Artificial Intelligence

    Ishizaki, Keisuke / Matsushita, Kojiro / Komada, Masashi et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    High Altitude Ice Crystal Detection with Aircraft X-band Weather Radar

    Lukas, Jan / Badin, Pavel | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Data-Driven Framework for Fuel Efficiency Improvement in Extended Range Electric Vehicle Used in Package Delivery Applications

    Wang, Pengyue / Northrop, William | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Research on Vehicle Recognition Based on Unpacking 3D Bounding Boxes of Monocular Camera in Traffic Scene

    Zhang, Chaoyang / Cui, Hua / Tian, Shangwei et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Clustering-Based Trajectory Prediction of Vehicles Interacting with Vulnerable Road Users

    Sonka, Adrian / Henze, Roman / Thal, Silvia | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Traffic Flow Velocity Prediction Based on Real Data LSTM Model

    Wang, Jiaze / Li, Lin | SAE Technical Papers | 2021
    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

    Learning Gasoline Direct Injector Dynamics Using Artificial Neural Networks

    Shibata, Jonathan / Lucido, Michael | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    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

    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

    Computational Optimization of a Diesel Engine Calibration Using a Novel SVM-PSO Method

    Bertram, Aaron M. / Kong, Song-Charng | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Driver Classification of Shifting Strategies Using Machine Learning Algorithms

    Ebel, André / Trost, Daniel / Brosch, Erwin et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Fuzzy System for Automotive Fault Diagnosis

    Hamilton, Brennan / Chen, Tie-Qi / Lu, Yi | SAE Technical Papers | 1998
    Schlagwörter: Machine learning

    Developing Prediction Based Algorithms for Energy and Exergy Flow

    Kim, CDT Tae / James, LTC Corey / Jane, Robert | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Fault Diagnosis of Ball Bearings Using Machine Learning of Vibration Signals

    Sadique, Anwar / Poulose, Jasmine / prasad SR, Vishnu | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Digital Forensic Method to Detect Object based Video Forgery Security Attacks on Surround View ADAS Camera System

    Karki, Maya / S M, Sarala | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Dynamic Automatic Transmission Oil Life Prediction Using Machine Learning

    Badiger, Aishwaryalaxmi / Bhat, Goutam / Priyadarshi, Priyamvad | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Classification of Contact Forces in Human-Robot Collaborative Manufacturing Environments

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

    Time Domain Full Vehicle Interior Noise Calculation from Component Level Data by Machine Learning

    Nau, Clemens / Tsokaktsidis, Dimitrios Ernst / Marburg, Steffen | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Effects of Thermal and Auxiliary Dynamics on a Fuel Cell Based Range Extender

    Jung, Daniel / Oruganti, Pradeep Sharma / Ahmed, Qadeer | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Thermal Alarm Handling in Safety Critical Electronic Control Units for Automated Vehicle Using AI and Machine Learning

    Babu, Bhavya / Rajam Ramasamy, Gayathri / Rajasekaran, Kadhirvel et al. | SAE Technical Papers | 2022
    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

    Vibration Analysis of Gear Defects using Machine Learning Approach

    Sadique, Anwar / Poulose, Jasmine / prasad SR, Vishnu | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    The Role of Safety Critical Architecture in an Evolving Ecosystem

    Carter, Andrew | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Off-Highway Machine Fuel Performance Prediction Through Engine Data Analytics

    Bandekar, Ameya / Dharmadhikari, Nitin | SAE Technical Papers | 2021
    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

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

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

    Mild Hybrid Electric Vehicle Powertrain Control Using Offline–Online Hybrid Deep Reinforcement Learning Strategy

    Yoon, Hwan-Sik / Yao, Zhengyu | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Dynamic Multi-ROI Parallel Inference Architecture for Online Video

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

    A Deep Learning-Based Strategy to Initiate Diesel Particle Filter Regeneration

    Roettger, Daniel / De Smet, Frederik / Fan, Ke et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Accelerating In-Vehicle Network Intrusion Detection System Using Binarized Neural Network

    Ma, Di / Zhang, Linxi / Yan, Xuke | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    RDE Plus - Rapid Characterisation of Vehicle and Powertrain Performance and Emissions using Dynamic Design of Experiments, Digital Twin and Virtual Driving Methodologies

    Headley, Aaron / Tabata, Kunio / Bates, Luke et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Study of machine learning algorithms to state of health estimation of iron phosphate lithium-ion battery used in fully electric vehicles

    Vieira, Daniel / Junior, Eloy M. O. / Cerri, Fernando et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning