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    ML of Choosing: Architecting Intelligent Choice Framework

    Kulkarni, Parag | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Vehicular Networks and Autonomous Driving Cars

    Seon Hong, Choong / Khan, Latif U. / Chen, Mingzhe et al. | Springer Verlag | 2021
    Schlagwörter: Machine Learning

    Environmental Perception Using Fish-Eye Cameras for Autonomous Driving

    Qian, Yeqiang / Yang, Ming / Dolan, John M. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Bird’s Eye View Perception for Autonomous Driving

    Du, Jiayuan / Su, Shuai / Fan, Rui et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Road Environment Perception for Safe and Comfortable Driving

    Guo, Sicen / Jiang, Yu / Li, Jiahang et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    A Review on Behavioural Biometric GAIT Recognition

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

    Lane Detection and Collision Prevention System for Automated Vehicles

    Agrawal, Rajat / Singh, Namrata | Springer Verlag | 2020
    Schlagwörter: Machine learning , Machine Learning

    Insights for Urban Road Safety: A New Fusion-3DCNN-PFP Model to Anticipate Future Congestion from Urban Sensing Data

    Dao, Minh-Son / Uday Kiran, R. / Zettsu, Koji | Springer Verlag | 2021
    Schlagwörter: Machine Learning

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

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

    Mobile WEKA as Data Mining Tool on Android

    Liu, Pengfei / Chen, Yanhua / Tang, Wulei et al. | Springer Verlag | 2012
    Schlagwörter: Machine learning

    Perpetual Solar Potential of a Village by Machine Learning and Feature Extraction in UAV

    Immanuel, A. / Srinivasa Raju, K. | Springer Verlag | 2020
    Schlagwörter: Machine learning

    Deep Reinforcement Learning

    Huang, Xiaowei / Jin, Gaojie / Ruan, Wenjie | Springer Verlag | 2012
    Schlagwörter: 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

    Memory-Based Bees Algorithm with Lévy Flights for Multilevel Image Thresholding

    Shatnawi, Nahla / Sahran, Shahnorbanun / Nasrudin, Mohamad Faidzul | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    The Effect of Harmony Memory Integration into the Bees Algorithm

    Acar, Osman / Sağlam, Hacı / Şaka, Ziya | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Supply Chain Design and Multi-objective Optimisation with the Bees Algorithm

    Mastrocinque, Ernesto | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Bees Algorithm Models for the Identification and Measurement of Tool Wear

    Conte, Salvatore / D’Addona, Doriana M. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

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