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101–120 von 1,268 Ergebnissen
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    Towards Learning by Demonstration for Industrial Assembly Tasks

    Freier Zugriff
    Hernandez Moreno, Victor / Carmichael, Marc G. / Deuse, Jochen | Springer Verlag | 2023
    Schlagwörter: Learning by Demonstration , Machine Learning

    Vehicle Classification for Autonomous Vehicles Using Transfer Deep Learning

    Chhabra, Rishu / Khullar, Vikas / Singh, Saravjeet | Springer Verlag | 2023
    Schlagwörter: Deep learning , Transfer learning

    Learning-Based Multi-missile Maneuver Penetration Approach

    Yan, Peng / Guo, Jifeng / Zheng, Hongxing et al. | Springer Verlag | 2023
    Schlagwörter: Deep reinforcement Learning , Learning-based approach

    Trajectory Planning for Automated Parking Systems Using Deep Reinforcement Learning

    Du, Zhuo / Miao, Qiheng / Zong, Changfu | Springer Verlag | 2020
    Schlagwörter: Deep reinforcement learning

    Vehicle Pollution Detection from Images Using Deep Learning

    Kundu, Srimanta / Maulik, Ujjwal | Springer Verlag | 2020
    Schlagwörter: Transfer learning , Deep learning

    Collision Avoidance in Collaborative Robotics Based on Real-Time Skeleton Tracking

    Forlini, Matteo / Neri, Federico / Scoccia, Cecilia et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning , Deep Learning

    Landscapes of Knowledge and Innovative Learning Experiences

    Freier Zugriff
    Faiferri, Massimo / Bartocci, Samanta | Springer Verlag | 2021
    Schlagwörter: Active learning , Urban learning

    Radar Waveforms and Their Mathematical Models

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Foreign Language Learning Environment: A Case Study of STU

    Komkova, Anastasiya / Kobeleva, Elena / Taskaeva, Elena et al. | Springer Verlag | 2022
    Schlagwörter: Foreign language learning environment , Blended learning

    Seismic Acceleration Estimation Method at Arbitrary Position Using Observations and Machine Learning

    Lee, Kyeong Seok / Ahn, Jin-Hee / Park, Hae-Yong et al. | Springer Verlag | 2023
    Schlagwörter: Machine-learning regression , Supervised learning

    The Classification of Wink-Based EEG Signals: The Identification of Significant Time-Domain Features

    Mahendra Kumar, Jothi Letchumy / Rashid, Mamunur / Musa, Rabiu Muazu et al. | Springer Verlag | 2020
    Schlagwörter: Machine learning , Machine Learning

    Revisiting the Pedagogy of Educational Robotics

    Eguchi, Amy | Springer Verlag | 2023
    Schlagwörter: Robotics as a learning tool , Project-based learning

    Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic

    Freier Zugriff
    Zhou, Wei / Chen, Dong / Yan, Jun et al. | Springer Verlag | 2022
    Schlagwörter: Multi-agent deep reinforcement learning , Machine Learning

    DCOP: Deep Learning for Road Safety System

    Hyoju, Binod / Salahuddin, A. B. Emran / Heyasat, Haneen et al. | Springer Verlag | 2023
    Schlagwörter: Deep Learning , Machine Learning

    Effects of Introducing a Learning Robot on the Metacognitive Knowledge of Students Aged 8–11

    Martin, Marie / Chevalier, Morgane / Burton, Stéphanie et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning , Learning robot

    Deep Learning for Targeted Treatment

    Vanitha, C. N. / Sathyamoorthy, Malathy / Krishna, S. A. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Machine learning

    Signal Processing for Radar Systems

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Driving cycle recognition neural network algorithm based on the sliding time window for hybrid electric vehicles

    Wang, J. / Wang, Q. N. / Zeng, X. H. et al. | Springer Verlag | 2015
    Schlagwörter: Learning vector quantization

    A Scalable Multi-agent Reinforcement Learning Approach for the Dynamic Taxi Dispatch Problem

    Alhusin, Mohammed / Pasquier, Michel / Barlas, Gerassimos | Springer Verlag | 2022
    Schlagwörter: Multi agent Reinforcement Learning , Deep Q-learning