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101–120 von 177 Ergebnissen
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    On-road vehicle detection using Gabor filters and support vector machines

    Sun, Zehang / Bebis, G. / Miller, R. | Tema Archiv | 2002
    Schlagwörter: Lernen

    An architectural framework for self-configuration and self-improvement at runtime

    Tomforde, Sven | Tema Archiv | 2011
    Schlagwörter: maschinelles Lernen

    The past, present, and future of neural networks for signal processing

    Hwang, Jenq-Nen / Kung, Sun-Yan / Niranjan, M. et al. | Tema Archiv | 1997
    Schlagwörter: Lernen

    Characterization and Control of Hysteretic Dynamics Using Online Reinforcement Learning

    Kirkpatrick, Kenton / Valasek, John / Haag, Chris | AIAA | 2013
    Schlagwörter: Reinforcement Learning

    Development of Real-Time Unmanned Aerial Vehicle Urban Object Detection System with Federated Learning

    Lu, You-Ru / Sun, Dengfeng | AIAA | 2024
    Schlagwörter: Reinforcement Learning

    Simplified Approach for Modeling Conflict Resolution Behavior of Human Pilot

    Hu, Yang / Wang, Xiaoyan | AIAA | 2019
    Schlagwörter: Reinforcement Learning

    Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements

    Tikayat Ray, Archana / Pinon Fischer, Olivia J. / White, Ryan T. et al. | AIAA | 2024
    Schlagwörter: Machine Learning

    Longitudinal control of vehicle platoon via wavelet neural network

    Hsu, Chun-Fei / Wang, Wen-June / Lee, Tsu-Tian et al. | Tema Archiv | 2004
    Schlagwörter: Lernen

    Dynamic Targeting to Improve Earth Science Missions

    Candela, Alberto / Swope, Jason / Chien, Steve A. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Fast Path Planning for Unmanned Aerial Vehicles by Self-Correction Based on Q -Learning

    Wang, Ziyang / Yang, Hongbing / Wu, Qingsong et al. | AIAA | 2021
    Schlagwörter: Reinforcement Learning

    Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations

    Andrade, Sequoia / Walsh, Hannah S. | AIAA | 2023
    Schlagwörter: Machine Learning

    Day-to-day travel time perception modeling using an adaptive-network-based fuzzy inference system (ANFIS)

    Khademi, Navid / Rajabi, Mojtaba / Mohaymany, Afshin S. et al. | Online Contents | 2016
    Schlagwörter: Drivers’ learning

    Hyperheuristic Approach Based on Reinforcement Learning for Air Traffic Complexity Mitigation

    Juntama, Paveen / Delahaye, Daniel / Chaimatanan, Supatcha et al. | AIAA | 2022
    Schlagwörter: Reinforcement Learning

    Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets

    Dolph, Chester V. / Ippolito, Corey / Glaab, Louis J. et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Automated Spoken-to-Coded Pilot Weather Reports in General Aviation

    Gupta, Shantanu / Pitts, Brandon J. / Johnson, Mary E. | AIAA | 2024
    Schlagwörter: Machine Learning

    XGBoost Gradient-Boosted Tree Predictions Using Limited Data for Coaxial Rotor Helicopters

    Seidel, Cory A. / Genter, Ethan / Peters, David A. | AIAA | 2021
    Schlagwörter: Reinforcement Learning

    Prediction of transonic wing buffet pressure based on deep learning

    Freier Zugriff
    Zahn, R. / Breitsamter, C. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Application of fuzzy neural network to aero-engine controller design

    Wang, Haiquan / Guo, Yingqing / Lu, Jun | Tema Archiv | 2009
    Schlagwörter: Lernen

    Object Depth Measurement and Filtering from Monocular Images for Unmanned Aerial Vehicles

    Zhang, Chuanqi / Cao, Yunfeng / Ding, Meng et al. | AIAA | 2021
    Schlagwörter: Deep Learning