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

1–50 von 110 Ergebnissen
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    3D vehicle sensor based on monocular vision

    Ponsa, D. / Lopez, A. / Lumbreras, F. et al. | Tema Archiv | 2005
    Schlagwörter: maschinelles Sehen , Lernen

    Acoustic Monitoring of Rail Faults in the German Railway Network

    Pieringer, Astrid / Stangl, Matthias / Rothhämel, Jörg et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    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

    Adaptive human-robot policy blending for shared control teleoperation

    Freier Zugriff
    Oh, Yoojin | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Adaptive navigation of automated vehicles by image analysis techniques

    Tsai, W. / Chen, Y. | Tema Archiv | 1986
    Schlagwörter: MASCHINELLES SEHEN , PATH NETWORK LEARNING

    A data-driven dynamics simulation framework for railway vehicles

    Nie, Yinyu / Tang, Zhao / Liu, Fengjia et al. | Taylor & Francis Verlag | 2018
    Schlagwörter: machine learning

    Adhering to Terrain Characteristics for Position Estimation of Mobile Robots

    Brunner, Michael / Schulz, Dirk / Cremers, Armin B. | Springer Verlag | 2011
    Schlagwörter: Machine learning

    Advanced driver assistance system supporting routing and navigation for fully electric vehicles

    Demestichas, K. / Adamopoulou, E. / Masikos, M. et al. | Tema Archiv | 2012
    Schlagwörter: maschinelles Lernen

    A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning

    Yi Lu / Tie Qi Chen / Hamilton, B. | Tema Archiv | 2000
    Schlagwörter: maschinelles Lernen

    A Grey Box Model Approach for the Prediction of Tire Energy Loss

    Burger, Michael / Steidel, Stefan | Springer Verlag | 2020
    Schlagwörter: Machine learning

    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

    AI-based Wave Prediction in Complex Plasmas

    Freier Zugriff
    Shen, Yanzheng | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning

    A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets

    Cheung, Catherine / Sehgal, Srishti / Valdés, Julio J. | Springer Verlag | 2019
    Schlagwörter: Machine learning

    A methodology for photometric validation in vehicles visual interactive systems

    Faria, A.W.C. / Menotti, D. / Pappa, G.L. et al. | Tema Archiv | 2012
    Schlagwörter: Lernen , maschinelles Lernen

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

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

    An Artificial Neural Network Approach to Predict Rotor-Airframe Acoustic Waveforms

    Arthur D Wiedemann / Christopher Fuller / Kyle A Pascioni | NTRS
    Schlagwörter: machine learning

    A new scheme for vision based flying vehicle detection using motion flow vectors classification

    Taimori, Ali / Behrad, Alireza / Sabouri, Samira | Tema Archiv | 2009
    Schlagwörter: maschinelles Sehen , Lernen

    Anwendungen akustischer Ereigniserkennung im Automobil

    Rennies, Jan / Schröder, Jens / Hollosi, Danilo et al. | Tema Archiv | 2013
    Schlagwörter: maschinelles Lernen

    Applicability of machine learning in uncertainty quantification of turbulence models

    Freier Zugriff
    Matha, Marcel / Kucharczyk, Karsten | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning

    Applicability of machine learning in uncertainty quantification of turbulence models

    Freier Zugriff
    Matha, Marcel / Kucharczyk, Karsten | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning

    Application and interpretation of machine learning models in predicting the risk of severe obstructive sleep apnea in adults

    Freier Zugriff
    Yewen Shi / Yitong Zhang / Zine Cao et al. | DOAJ | 2023
    Schlagwörter: Machine learning

    Artificial Intelligence for Spectral Analysis: a Comprehensive Framework

    Freier Zugriff
    Xie, Xiang | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    Assessment of data-driven Reynolds stress tensor perturbations for uncertainty quantification of RANS turbulence models

    Freier Zugriff
    Matha, Marcel / Kucharczyk, Karsten / Morsbach, Christian | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning

      Assessment of data-driven Reynolds stress tensor perturbations for uncertainty quantification of RANS turbulence models

      Freier Zugriff
      Matha, Marcel / Kucharczyk, Karsten / Morsbach, Christian | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
      Schlagwörter: machine learning

    ATR applications of minimax entropy models of texture and shape

    Zhu, Song-Chun / Yuille, A.L. / Lanterman, A.D. | Tema Archiv | 2001
    Schlagwörter: Lernen , maschinelles Sehen

    Automatic Geographic Enrichment by Multi-modal Bike Sensing

    Verstockt, Steven / Slavkovikj, Viktor / Potter, Pieterjan De et al. | Tema Archiv | 2014
    Schlagwörter: maschinelles Lernen

    Automatic Obstructive Sleep Apnea Identification Using First Order Statistics Features of Electrocardiogram and Machine Learning

    Indrawati, Aida Noor / Nuryani, Nuryani / Wiharto, Wiharto et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Automotive fault diagnosis - part II: a distributed agent diagnostic system

    Murphey, Y.L. / Crossman, J.A. / Chen, ZhiHang et al. | Tema Archiv | 2003
    Schlagwörter: Lernen , maschinelles Lernen

    Behavior-specific proprioception models for robotic force estimation : a machine learning approach

    Freier Zugriff
    Berger, Erik | TIBKAT | 2018
    Schlagwörter: Maschinelles Lernen

    Changing the Philosophy of Full-Scale-Fatigue-Tests Derived from 50 Years of IABG Experience Towards a Virtual Environment

    Hilfer, Gerhard / Tusch, Olaf / Wu, Don et al. | Springer Verlag | 2019
    Schlagwörter: Machine learning

    Clustering sensor data for autonomous terrain identification using time-dependency

    Giguere, Philippe / Dudek, Gregory | Tema Archiv | 2009
    Schlagwörter: maschinelles Lernen

    Combat vehicle classification using machine learning

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

    Combining learning and structure for robotic manipulation

    Freier Zugriff
    Kloss, Alina | TIBKAT | 2020
    Schlagwörter: Deep learning , Maschinelles Lernen

    Comparative analysis of multi-source data for machine learning-based LAI estimation in Argania spinosa

    Mouafik, Mohamed / Fouad, Mounir / Audet, Felix Antoine et al. | Elsevier | 2024
    Schlagwörter: Machine Learning

    Comparative performance of Sentinel-2 MSI and Landsat-8 OLI data in canopy cover prediction using Random Forest model: Comparing model performance and tuning parameters

    Bera, Dipankar / Das Chatterjee, Nilanjana / Bera, Sudip et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Computational methods for cognitive and cooperative robotics

    Freier Zugriff
    Mukovskiy, Albert | TIBKAT | 2018
    Schlagwörter: Maschinelles Lernen

    Condition Monitoring of Rail Vehicle Suspension Elements: A Machine Learning Approach

    Karlsson, Henrik / Qazizadeh, Alireza / Stichel, Sebastian et al. | Springer Verlag | 2020
    Schlagwörter: Machine learning

    Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens

    Freier Zugriff
    Yüce, Firat | TIBKAT | 2022
    Schlagwörter: Maschinelles Lernen

    Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system

    Cherng, Shen / Fang, Chiung-Yao / Chen, Chia-Pei et al. | Tema Archiv | 2009
    Schlagwörter: maschinelles Sehen , Lernen

    Data-driven train set crash dynamics simulation

    Tang, Zhao / Zhu, Yunrui / Nie, Yinyu et al. | Taylor & Francis Verlag | 2017
    Schlagwörter: machine learning

      Data-driven train set crash dynamics simulation

      Tang, Zhao | Online Contents | 2017
      Schlagwörter: machine learning

    Deep Learning-Powered Insight from Dark Resources

    M. Maskey / R. Ramachandran / R. Pradhan et al. | NTIS | 2016
    Schlagwörter: Machine learning

    Designing [with] machines : task- and site-specific robotic teams for architectural in situ making

    Freier Zugriff
    Yablonina, Maria | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    Detaillierte visuelle Umgebungserkennung durch vereinheitlichte Extraktion von Kanten, Ecken und linear schattierten Flecken

    Dickmanns, Ernst D. | Tema Archiv | 2009
    Schlagwörter: maschinelles Sehen , maschinelles Lernen

    Evolutionary Computation Methods for Helicopter Loads Estimation

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

    Examining optoelectronics in machine vision and applications in industry 4.0

    Sergiyenko, Oleg / Rodríguez-Quiñonez, Julio Cesar / Flores-Fuentes, Wendy | TIBKAT | 2021
    Schlagwörter: Machine learning

    Exploring Coanda Effect with 3 Cylinder Geometry

    Satvik Kumar | NTRS
    Schlagwörter: Machine Learning

    Extraction of Main Urban Roads from High Resolution Satellite Images by Machine Learning

    Wang, Yanqing / Tian, Yuan / Tai, Xianqing et al. | Springer Verlag | 2006
    Schlagwörter: Machine Learning

    Fahrerspezifische Prädiktion von Fahrmanövern mit Fuzzy Logic

    Bauer, C. / Gonter, M. / Rojas, R. | Tema Archiv | 2010
    Schlagwörter: maschinelles Lernen

    Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery

    Freier Zugriff
    Gerlach, Stefan / Fürweger, Christoph / Hofmann, Theresa et al. | BASE | 2020
    Schlagwörter: machine learning