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21–40 von 149 Ergebnissen
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    An Improved Machine Learning Algorithm for Crash Severity and Fatality Insight in VANET Network

    Bharathi, S. / Durgadevi, P. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Intelligent System for Railway Joint Diagnostics

    Efimushkin, N. / Efimushkina, N. / Orlov, S. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Vehicle Over Speed Detection System

    Ganesan, K. / Manikandan, N. S. / Sugumaran, Vijayan | Springer Verlag | 2023
    Schlagwörter: Machine 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

    Design of Automatic Lane Change System Based on UN/ECE R79

    Liu, Haiyan / Wang, Kunfeng / Wang, Yadong | Springer Verlag | 2023
    Schlagwörter: Machine 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

    EDAMOD: Edge Detection and Moving Object Detection Algorithm to Control Traffic Lights Dynamically

    Rakesh, S. / Hegde, Nagaratna P. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Calculating the Traffic Density of Real-Time Video Using Moving Object Detection

    Rakesh, S. / Hegde, Nagaratna P. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Exploring Deep Learning Techniques for Vision-Based Vehicle Re-Identification: A Traffic Intersection Case Study

    Regmi, Biplav S. / Dailey, Matthew N. / Ekpanyapong, Mongkol | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Autonomous Traffic Sign Detection and Recognition in Real Time

    Malarvizhi, N. / Jupudi, Athreayasa Kalyan / Velpuri, Manikanta et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Machine Learning

    Proactive Traffic Abnormity Warning System

    Liu, Kai / Dai, Penglin / Lee, Victor C. S. et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Machine Learning Approach for Traffic Sign Detection and Indication Using Open CV with Python

    Varma, Kothapalli Phani / Sriramam, Yadavalli S. S. / Kanumuri, Chalapathiraju et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting

    Bansal, Nishu / Bali, Rasmeet Singh | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Real-Time Birds Shadow Detection for Autonomous UAVs

    Bouali, Kassem Anis / Hajdu, András | Springer Verlag | 2023
    Schlagwörter: Deep Learning Algorithms , Machine Learning

    ML of Choosing: Architecting Intelligent Choice Framework

    Kulkarni, Parag | Springer Verlag | 2022
    Schlagwörter: Machine 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

    Bees Traplining Metaphors for the Vehicle Routing Problem Using a Decomposition Approach

    Ismail, A. H. / Pham, D. T. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Automatic PID Tuning Toolkit Using the Multi-Objective Bees Algorithm

    Şahin, Murat / Çakıroğlu, Semih | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Α New Method to Generate the Initial Population of the Bees Algorithm for Robot Path Planning in a Static Environment

    Kashkash, Mariam / Haj Darwish, Ahmed / Joukhadar, Abdulkader | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Shape Recognition for Industrial Robot Manipulation with the Bees Algorithm

    Castellani, Marco / Baronti, Luca / Zheng, Senjing et al. | Springer Verlag | 2022
    Schlagwörter: Machine Learning