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

121–140 von 372 Ergebnissen
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    Optimizing Street Mobility Through a NetLogo Simulation Environment

    Silva, Jesús / Varela, Noel / Lezama, Omar Bonerge Pineda | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers

    Reddy, C. J. / Karuppuswami, Saranraj | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Optimisation of Robotic Disassembly Sequence Plans for Sustainability Using the Multi-objective Bees Algorithm

    Hartono, Natalia / Javier Ramírez, F. / Pham, D. T. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Optimal Stacked Sparse Autoencoder Based Traffic Flow Prediction in Intelligent Transportation Systems

    Neelakandan, S. / Prakash, M. / Bhargava, Sanjay et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation

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

    Ontology-Driven Traffic Scenario Modeling for Situational Assessment and Decision-Making at Expressway Toll Plaza

    Mor, Annu / Kumar, Mukesh | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    Obstacle avoidance learning for a wheeled lunar rover based on its local relative pose

    Pan, Haining / Lei, Zhenwu / Cui, Pingyuan et al. | Tema Archiv | 2009
    Schlagwörter: Lernen , maschinelles Sehen

    Object Detection and Pattern Analysis in an Autonomous Car

    Kadwani, Rashmi / Pereira, Joshua / Thakur, Adya et al. | Springer Verlag | 2021
    Schlagwörter: Deep learning , Machine Learning

    Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility

    Freier Zugriff
    Band, Shahab S. / Janizadeh, Saeid / Chandra Pal, Subodh et al. | BASE | 2020
    Schlagwörter: Maschinelles Lernen , deep learning neural network

    New Text Detection Technique Using Machine Learning Architecture

    Agarwal, Samriddhi / Rahul, Perepi / Neetu | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine learning

    New reinforcement learning algorithm for robot soccer

    Freier Zugriff
    Yoon, M / Bekker, J / Kroon, S | BASE | 2017
    Schlagwörter: Reinforcement learning , machine learning

    Neurons that know how to drive

    Rosenblum, M. | Tema Archiv | 2000
    Schlagwörter: maschinelles Sehen , Lernen

    Neurocognitive Approach to Robotic Cause-Effect Reasoning During Learning

    R. Gentili / G. Katz / J. Reggia | NTIS | 2022
    Schlagwörter: Machine learning

    Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry

    Schmid, Philipp A. E. / Steinecker, Alexander / Sun, Jianwen et al. | Springer Verlag | 2019
    Schlagwörter: Deep learning , Machine learning

    Neural network full-body human predictive models and their use for coordinated robot motion planning

    Freier Zugriff
    Kratzer, Philipp | TIBKAT | 2022
    Schlagwörter: Maschinelles Lernen

    Nachvollziehbarkeit und Begründbarkeit von Maschinellen Lernverfahren mithilfe von 3D-Visualisierung

    Freier Zugriff
    Bock, Marcel | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2018
    Schlagwörter: machine learning

    Multi-task near-field perception for autonomous driving using surround-view fisheye cameras

    Freier Zugriff
    Ravi Kumar, Varun / Technische Universität Ilmenau | TIBKAT | 2021
    Schlagwörter: Deep learning , Maschinelles Sehen

    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

    Multi-Objective Classification of Three-Dimensional Imaging Radar Point Clouds: Support Vector Machine and PointNet

    Bai, Jie / Long, Kai / Dong, Lianfei et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning