Synonyme wurden verwendet für: Deep Learning
Suche ohne Synonyme: keywords:("Deep Learning")

81–100 von 182 Ergebnissen
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    Detecting motorcycle helmet use with deep learning

    Siebert, Felix Wilhelm / Lin, Hanhe | Elsevier | 2019
    Schlagwörter: Deep learning

    Detection of driver manual distraction via image-based hand and ear recognition

    Li, Li / Zhong, Boxuan / Hutmacher, Clayton Jr et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Development of a generalized model to classify various land covers for ALOS-2 L-Band images using semantic segmentation

    Kotru, Rahul / Turkar, Varsha / Simu, Shreyas et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework

    Li, Jinlong / Xu, Zhigang / Fu, Lan et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Dynamic short-term crash analysis and prediction at toll plazas for proactive safety management

    Mo, Weiwei / Lee, Jaeyoung / Abdel-Aty, Mohamed et al. | Elsevier | 2023
    Schlagwörter: Deep Learning

    Effect of dockless bike-sharing scheme on the demand for London Cycle Hire at the disaggregate level using a deep learning approach

    Ding, Hongliang / Lu, Yuhuan / Sze, N.N. et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    Efficient and accurate TEC modeling and prediction approach with random forest and Bi-LSTM for large-scale region

    Jiang, Zixin / Zhang, Zhetao / He, Xiufeng et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    Enhancing discrete choice models with representation learning

    Sifringer, Brian / Lurkin, Virginie / Alahi, Alexandre | Elsevier | 2020
    Schlagwörter: Deep learning

    Estimating city-wide hourly bicycle flow using a hybrid LSTM MDN

    Myhrmann, Marcus Skyum / Mabit, Stefan Eriksen | Elsevier | 2023
    Schlagwörter: Deep Learning

    Evaluating algorithms for anomaly detection in satellite telemetry data

    Nalepa, Jakub / Myller, Michal / Andrzejewski, Jacek et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach

    Wang, Hong-Wei / Peng, Zhong-Ren / Wang, Dongsheng et al. | Elsevier | 2020
    Schlagwörter: Deep Learning

    Explainable, automated urban interventions to improve pedestrian and vehicle safety

    Bustos, C. / Rhoads, D. / Solé-Ribalta, A. et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Fast Dst computation by applying deep learning to Swarm satellite magnetic data

    Cianchini, Gianfranco / Piscini, Alessandro / De Santis, Angelo et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Fast flow field prediction approach of supersonic inlet in wide operating range based on deep learning

    Zhong, Jiaxiang / Qu, Feng / Sun, Di et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Fatigue at the wheel: A non-visual approach to truck driver fatigue detection by multi-feature fusion

    He, Chen / Xu, Pengpeng / Pei, Xin et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Flight time prediction for fuel loading decisions with a deep learning approach

    Zhu, Xinting / Li, Lishuai | Elsevier | 2021
    Schlagwörter: Deep learning

    Fuel consumption estimation in heavy-duty trucks: Integrating vehicle weight into deep-learning frameworks

    Fan, Pengfei / Song, Guohua / Zhai, Zhiqiang et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Geometric information constraint 3D object detection from LiDAR point cloud for autonomous vehicles under adverse weather

    Qi, Yuanfan / Liu, Chun / Scaioni, Marco et al. | Elsevier | 2024
    Schlagwörter: Deep learning