Synonyme wurden verwendet für: learning
Suche ohne Synonyme: keywords:(learning)

151–160 von 3,697 Ergebnissen
|

    Therapy-driven Deep Glucose Forecasting

    Freier Zugriff
    Aiello E. M. / Lisanti G. / Magni L. et al. | BASE | 2020
    Schlagwörter: Deep learning

    Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions

    Freier Zugriff
    Kassahun, Y / Yu, B / Tibebu, AT et al. | BASE | 2016
    Schlagwörter: Learning to perceive , Skill learning

    Developing and testing a hazard prediction task for novice drivers: A novel application of naturalistic driving videos

    Ehsani, Johnathon P. / Seymour, Karen E. / Chirles, Theresa et al. | Elsevier | 2020
    Schlagwörter: Learning

    CryptoKnight:generating and modelling compiled cryptographic primitives

    Freier Zugriff
    Hill, Gregory / Bellekens, Xavier | BASE | 2018
    Schlagwörter: Deep learning

    ResLogit: A residual neural network logit model for data-driven choice modelling

    Wong, Melvin / Farooq, Bilal | Elsevier | 2021
    Schlagwörter: Deep learning , Machine learning

    Towards Fully Autonomous Drone Tracking by a Reinforcement Learning Agent Controlling a Pan–Tilt–Zoom Camera

    Freier Zugriff
    Mariusz Wisniewski / Zeeshan A. Rana / Ivan Petrunin et al. | DOAJ | 2024
    Schlagwörter: reinforcement learning , deep learning , machine learning

    An efficient realization of deep learning for traffic data imputation

    Duan, Yanjie / Lv, Yisheng / Liu, Yu-Liang et al. | Elsevier | 2016
    Schlagwörter: Deep learning

    A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping

    Freier Zugriff
    Sica, Francescopaolo / Calvanese, Francesco / Scarpa, Giuseppe et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Deep Learning

    Region-Aware Hierarchical Graph Contrastive Learning for Ride-Hailing Driver Profiling

    Chen, Kehua / Han, Jindong / Feng, Siyuan et al. | Elsevier | 2023
    Schlagwörter: Representation learning , Contrastive learning