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

1–20 von 29 Ergebnissen
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    Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation

    Adler, Aviv / Miculescu, David / Karaman, Sertac | TIBKAT | 2020
    Schlagwörter: Machine learning

    Dynamic Walking on Stepping Stones with Gait Library and Control Barrier Functions

    Nguyen, Quan / Da, Xingye / Grizzle, J. W. et al. | TIBKAT | 2020
    Schlagwörter: Machine learning

    1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks

    Koushik Chennakesavan / Magnus A. Haw / Alexandre Quintart | NTRS
    Schlagwörter: Machine learning

      1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks

      Koushik Chennakesavan / Magnus A. Haw / Alexandre Quintart | NTRS
      Schlagwörter: Machine learning

    Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques

    Lee, Hanbong / Malik, Waqar / Jung, Yoon C. | NTRS | 2016
    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

    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

    A Software Scheme for UAV's Safe Landing Area Discovery

    Li, Xiaoming | Tema Archiv | 2013
    Schlagwörter: maschinelles Lernen

    Urban traffic control based on learning agents

    Gregoire, P.L. / Desjardins, C. / Laumonier, J. et al. | Tema Archiv | 2007
    Schlagwörter: Lernen , maschinelles Lernen

    Cyber-Physical Systems Security Engineering Plan (CPSSEP)

    SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Algorithms storage system

    Lopera, L.I. | Tema Archiv | 2007
    Schlagwörter: Lernen , maschinelles Lernen , verstärktes Lernen

    Unconstrained licence plate and text localization and recognition

    Matas, J. / Zimmermann, K. | Tema Archiv | 2005
    Schlagwörter: Lernen , maschinelles Lernen

    Kernel regression for travel time estimation via convex optimization

    Blandin, Sebastien / El Ghaoui, Laurent / Bayen, Alexandre | Tema Archiv | 2009
    Schlagwörter: Lernen , maschinelles Lernen

    Autonomous situation awareness through threat data integration

    Tema Archiv | 2007
    Schlagwörter: Lernen , maschinelles Lernen

    Learning to predict train wheel failures

    Yang, Chunsheng / Letourneau, Sylvain | Tema Archiv | 2005
    Schlagwörter: maschinelles Lernen

    Hierarchical fault diagnosis and health monitoring in multi-platform space systems

    Barua, A. / Khorasani, K. | Tema Archiv | 2009
    Schlagwörter: Lernen , maschinelles Lernen

    A Hyper-solution Framework for SVM Classification: Improving Damage Detection on Helicopter Fuselage Panels

    Candelieri, Antonio / Sormani, Raul / Arosio, Gaia et al. | Tema Archiv | 2013
    Schlagwörter: maschinelles Lernen

    UUV teams, control from a biological perspective

    McDowell, P. / Chen, J. / Bourgeois, B. | Tema Archiv | 2002
    Schlagwörter: Lernen , maschinelles Lernen

    Evolutionary Computation Methods for Helicopter Loads Estimation

    Valdes, Julio J. / Cheung, Catherine / Wang, Weichao | Tema Archiv | 2011
    Schlagwörter: Lernen , maschinelles Lernen

    Acoustic sleepiness analysis - using speech input from driver assistance systems for the phonetic detection of critical driver states

    Krajewski, J. / Sommer, D. / Schupp, T. et al. | Tema Archiv | 2009
    Schlagwörter: maschinelles Lernen

    Automobile driving behavior recognition using boosting sequential labeling method for adaptive driver assistance systems

    Khaisongkram, Wathanyoo / Raksincharoensak, Pongsathorn / Shimosaka, Masamichi et al. | Tema Archiv | 2008
    Schlagwörter: maschinelles Lernen