81–100 von 1,193 Ergebnissen
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keywords:(learning)

    Vehicle Classification for Autonomous Vehicles Using Transfer Deep Learning

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

    Landscapes of Knowledge and Innovative Learning Experiences

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

    Vehicle Pollution Detection from Images Using Deep Learning

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

    Sign Language Translation System Using Convolutional Neural Networks Approach

    Kasinathan, Vinothini / Mustapha, Aida / Hew, Hui Shan et al. | Springer Verlag | 2020
    Schlagwörter: Deep learning , Machine Learning

    Trajectory Planning for Automated Parking Systems Using Deep Reinforcement Learning

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

    From Classroom to Learning Environment

    Freier Zugriff
    Borri, Samuele | Springer Verlag | 2021
    Schlagwörter: Learning environment , Learning space

    Revisiting the Pedagogy of Educational Robotics

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

    Modeling of the Learning Curve Corresponding to the Transit Through the New Expanded Panama Canal

    Carral Couce, Luis Manuel / Tarrío-Saavedra, Javier / Rodríguez-Díaz, Aladar et al. | Springer Verlag | 2020
    Schlagwörter: Learning effect , Learning curve

    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

    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

    Comparison of Various Machine Learning and Deep Learning Classifiers for the Classification of Defective Photovoltaic Cells

    G, Maithreyan / Gumaste, Vinodh Venkatesh | Springer Verlag | 2023
    Schlagwörter: Machine learning , Deep 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

    Chesscards: Making a Paper Chess Game with Primary School Students, a Cooperative Approach

    Freier Zugriff
    Addone, Agnese / De Bernardis, Luigi | Springer Verlag | 2021
    Schlagwörter: Cooperative learning , Social learning

    Deep Learning Based Object Detection on Gas Cylinders

    Shrivastava, Shrey / Sahu, Aryan / Lamkuche, Hemraj | Springer Verlag | 2024
    Schlagwörter: Deep learning , Machine learning

    Development of an LSTM-Based Model with Attention Mechanism for Detection of Traffic’s Officer Hand Gestures for Autonomous Vehicles in Ecuador

    Idrovo-Berrezueta, Paul / Ortiz, Juan P. / Valladolid, Juan D. et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning , Deep learning

    Radar Target Detection

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine 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