Synonyme wurden verwendet für: Machine learning
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81–100 von 106 Ergebnissen
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    The role of autonomy in space exploration

    Smith, Benjamin D. | NTRS | 2001
    Schlagwörter: machine learning systems

    A Comparative Study of Longitudinal Vehicle Control Systems in Vehicle-to-Infrastructure Connected Corridor

    Fitzpatrick, Benjamin / King, Brian / Yoon, Hwan-Sik et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving

    Zhang, Dong / Wang, Guojun / Ni, Hailong et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Prediction of Weather Impacted Airport Capacity using Ensemble Learning

    Wang, Yao Xun | NTRS | 2011
    Schlagwörter: Machine learning

    Smart OTA Scheduling for Connected Vehicles using Prescriptive Analytics and Deep Reinforcement Learning

    Mohd Azmin, Farraen / Mustafa, Kenan | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Data-Driven Prediction of Key Combustion Parameters Based on an Intelligent Diesel Fuel Injector for Large Engine Applications

    Wimmer, Andreas / Laubichler, Christian / Negri, Claudio et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Artificial Intelligence-Based Field-Programmable Gate Array Accelerator for Electric Vehicles Battery Management System

    Patil , B. P. / Nagarale, Satyashil D. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Learning classifiers for science event detection in remote sensing imagery

    Castano, Rebecca / Mazzoni, Dominic / Tang, Nghia et al. | NTRS | 2005
    Schlagwörter: machine learning

    Recurrent Neural Network Model for On-Board Estimation of the Side-Slip Angle in a Four-Wheel Drive and Steering Vehicle

    King, Julian / Fainello, Marco / Ballesio, Stefano et al. | SAE Technical Papers | 2023
    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

    Connected On-Board Inert Gas Generation System with Real-Time Data Access & Machine Learning Approach for Predictive / Prognostics Maintenance

    MorkondaHaribapu cEng, Arvind / Rao cEng, Manjunatha / Kumar, Naveen et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    CAVTest: A Closed Connected and Automated Vehicles Test Field of Chang’an University in China

    Yang, Lan / Wang, RunMin / Zhao, XiangMo et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Combat vehicle classification using machine learning

    Zeng, H. / Huang, J. / Liang, Y. | Tema Archiv | 1999
    Schlagwörter: maschinelles Lernen

    Autonomous agents for space exploration

    Sherwood, Rob / Chien, Steve | NTRS | 2003
    Schlagwörter: machine learning

    An On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments

    Timothy Darrah / Jeremy Frank / Marcos Quiñones-Grueiro et al. | NTRS | 2024
    Schlagwörter: Machine Learning

    Machine Learning Based Model Development with Annotated Database for Indian Specific Object Detection

    Kale, Jyoti / Karle, Manish / Pachhapurkar, Ninad et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Hybrid Modeling of Unmanned Aerial Vehicle Electric Powertrain for Fault Detection and Diagnostics

    Matteo Corbetta / Katelyn Jarvis / Stefan Schuet | NTRS
    Schlagwörter: Physics-Informed Machine Learning

    ERRATUM

    Zhou, Bing / Gan, Nianfei / Chai, Tian et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Cyber-Physical Systems Security Engineering Plan (CPSSEP)

    SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Safety Assurance for Automated Driving Systems: Open Problems and Learnings from a Review of Other Domains

    Sarvi, Majid / Sweatman, Peter / Ballingall, Stuart | SAE Technical Papers | 2022
    Schlagwörter: Machine learning