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keywords:("Deep Learning")

    Accident Detection in Surveillance Camera

    Adil, A. P. / Anandhu, M. G. / Joy, Jeovan Elsa et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    A Comparison of Deep Learning-Based Monocular Visual Odometry Algorithms

    Jeong, Eunju / Lee, Jaun / Kim, Pyojin | Springer Verlag | 2022
    Schlagwörter: Deep Learning

    A Deep Learning Approach for Detection and Segmentation of Airplanes in Ultrahigh-Spatial-Resolution UAV Dataset

    Dhingra, Parul / Pande, Hina / Tiwari, Poonam S. et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management

    Prasad, K. Sai / Pasupathy, S. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    A Deep Learning-Based Procedure for Safety Evaluation of Steel Frames Using Advanced Analysis

    Ha, Manh-Hung / Vu, Quang-Viet / Truong, Viet-Hung | Springer Verlag | 2019
    Schlagwörter: Deep learning

    Adoption of Smart Traffic System to Reduce Traffic Congestion in a Smart City

    Aroba, Oluwasegun Julius / Mabuza, Phumla / Mabaso, Andile et al. | Springer Verlag | 2023
    Schlagwörter: Deep Learning

    Advances in Vision-Based UAV Manoeuvring Techniques

    Chindhe, Bhakti / Ramalingam, Archana / Chavan, Shravani et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Advancing Short-Term Traffic Congestion Prediction: Navigating Challenges in Learning-Based Approaches

    Wang, Chen / Atkison, Travis / Duan, Qiuhua | Springer Verlag | 2024
    Schlagwörter: Deep Learning

    A Hierarchical Prior Bounding Box Based on Feature Receptive Fields for Parts Object Detection

    Wang, Shisheng / Zhang, Ming / Wang, Guanpeng | Springer Verlag | 2022
    Schlagwörter: Deep learning

    AI-Based GEVs Mobility Estimation and Battery Aging Quantification Method

    Li, Shuangqi / Gu, Chenghong | Springer Verlag | 2022
    Schlagwörter: Deep learning

    AI-based Parameter Optimization Method

    Applied for Vehicles with Dual Clutch Transmissions
    Schmiedt, Marius / Pawlenka, Andreas / Rinderknecht, Stephan | Springer Verlag | 2022
    Schlagwörter: Deep Learning

    A Large-Scale Measurement and Quantitative Analysis Method of Façade Color in the Urban Street Using Deep Learning

    Freier Zugriff
    Zhang, Jiaxin / Fukuda, Tomohiro / Yabuki, Nobuyoshi | Springer Verlag | 2021
    Schlagwörter: Deep learning

    A Method for Daily Traffic Flow Parameter Forecasting Combining the Impact of Holidays

    Chen, Nuo / Li, Bao / Tao, Jie et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    An Approach to 3D Object Detection in Real-Time for Cognitive Robotics Experiments

    Vidal-Soroa, Daniel / Furelos, Pedro / Bellas, Francisco et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    An Estimation Method for Scramjet Inlet Mach Number and Mass Flow Rate Based on Deep Learning

    Kong, Chen / Liu, Hao / Xu, Cheng et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    An Improved SSD and Its Application in Train Bolt Detection

    Zhang, Jiabing / Su, Zhouyi / Xing, Zongyi | Springer Verlag | 2020
    Schlagwörter: Deep learning

    An Integrated Robotic System for Autonomous Brake Bleeding in Rail Yards

    Tan, Huan / Sen, Shiraj / Jain, Arpit et al. | Springer Verlag | 2017
    Schlagwörter: Deep learning

    Anomalous Activity Detection Using Deep Learning Techniques in Autonomous Vehicles

    Juyal, Amit / Sharma, Sachin / Matta, Priya | Wiley | 2022
    Schlagwörter: deep learning

    A Novel Deep ConvNets Architecture for Traffic Sign Recognition

    Khyara, Hamza / Amine, Aouatif / Nassih, Bouchra | Springer Verlag | 2022
    Schlagwörter: Deep learning

    A Novel Odor Source Localization Method via a Deep Neural Network-Based Odor Compass

    Yan, Zheng / Jing, Tao / Chen, Si-Wen et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

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