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

21–40 von 91 Ergebnissen
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    A Review on Behavioural Biometric GAIT Recognition

    Amogha, B. / Deshpande, Rohini | Springer Verlag | 2023
    Schlagwörter: Machine learning , Deep learning , Machine Learning

    Small Scale Mobile Robot Auto-parking Using Deep Learning, Image Processing, and Kinematics-Based Target Prediction

    Li, Mingxin / Ni, Liya Grace | Springer Verlag | 2021
    Schlagwörter: Deep learning

    Classification of a Pedestrian’s Behaviour Using Dual Deep Neural Networks

    Spooner, James / Cheah, Madeline / Palade, Vasile et al. | Springer Verlag | 2020
    Schlagwörter: Deep learning

    A Deep Architecture Combining CNNS and GRBMS for Traffic Speed Prediction

    Tan, Huachun / Zhong, Zhiyu / Wu, Yuankai et al. | ASCE | 2018
    Schlagwörter: Deep learning

    Traffic Rule Violation Detection System: Deep Learning Approach

    Kathane, Mandar / Abhang, Shubham / Jadhavar, Abhishek et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine Learning

    An Overview of Real-Time Traffic Sign Detection and Classification

    Taki, Youssef / Zemmouri, Elmoukhtar | Springer Verlag | 2021
    Schlagwörter: Machine learning , Deep learning

    Anomalous Activity Detection Using Deep Learning Techniques in Autonomous Vehicles

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

    Explainable AI in ITS: Ethical Concerns

    Gaur, Loveleen / Sahoo, Biswa Mohan | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine learning

    Artificial Intelligence Used in Accident Detection Using YOLO

    Gautham, S. V. / Hemavathi, D. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Vehicle Classification for Autonomous Vehicles Using Transfer Deep Learning

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

    Fine-Grained Vehicle Classification in Urban Traffic Scenes Using Deep Learning

    Najeeb, Syeda Aneeba / Raza, Rana Hammad / Yusuf, Adeel et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Transfer learning , Deep neural networks

    Deep Learning Technologies to Mitigate Deer-Vehicle Collisions

    Jawad Siddique, Md. / Ahmed, Khaled R. | Springer Verlag | 2021
    Schlagwörter: Deep learning

    Vehicle License Plates Recognition Using Object Detection and Classification Algorithms

    Cam, Nguyen Tan / Tram, Dong Thi Ngoc / Nguyen, Duy | 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 , Machine learning , Machine Learning

    Use of YOLOv4 and Yolov4Tiny for Intelligent Vehicle Detection in Smart City Environments

    de la Iglesia, Daniel H. / Blas, Héctor Sánchez San / López, Vivian F. et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Golden Jackal Optimization with Deep Learning-Based Anomaly Detection in Pedestrian Walkways for Road Traffic Safety

    Al Sulaie, Saleh | Springer Verlag | 2023
    Schlagwörter: Deep learning , Machine Learning

    Boats Imagery Classification Using Deep Learning

    Abrudan, Dumitru / Drăgulinescu, Ana-Maria / Vizireanu, Nicolae | Springer Verlag | 2024
    Schlagwörter: Deep Learning

    Pavement Crack Detection from UAV Images Using YOLOv4

    Mahmud, Mat Nizam / Sabri, Nur Nadhirah Naqilah Ahmad / Osman, Muhammad Khusairi et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Modeling Traffic Scenes for Intelligent Vehicles Using CNN-Based Detection and Orientation Estimation

    Guindel, Carlos / Martín, David / Armingol, José María | Springer Verlag | 2017
    Schlagwörter: Deep learning