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1–20 von 136 Ergebnissen
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    Sensitivity analysis of driving event classification using smartphone motion data: case of classifier type, sensor bundling, and data acquisition rate

    Sarteshnizi, Iman Taheri / Tavakkoli Khomeini, Farbod / Khedri, Borna et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning , mobile sensors

    Hardware Efficient Direct Policy Imitation Learning for Robotic Navigation in Resource-Constrained Settings

    Freier Zugriff
    Sumanasena, Vidura / Fernando, Heshan / De Silva, Daswin et al. | BASE | 2024
    Schlagwörter: direct policy learning , imitation learning , mobile robots

    Correcting missingness in passively-generated mobile data with Multi-Task Gaussian Processes

    Uğurel, Ekin / Guan, Xiangyang / Wang, Yanchao et al. | Elsevier | 2024
    Schlagwörter: Mobile data , Multi-task learning

    Two-stage procedure for transportation mode detection based on sighting data

    Chen, Huey-Kuo / Ho, Hsiao-Ching / Wu, Luo-Yu et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Mobile phone data , deep learning

    Rash Driving Detection and Alerting System

    Dehankar, Vishwas / Tadse, Surekha | Springer Verlag | 2024
    Schlagwörter: Wireless and Mobile Communication , Machine Learning

    Driver Drowsiness Detection Using CNN and ESP32 CAM

    Bhanuse, Vijaykumar / Ratnaparkhi, Soham / Loya, Riya et al. | Springer Verlag | 2024
    Schlagwörter: Deep learning , Mobile and Network Security

    Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network

    Freier Zugriff
    Navone, Alessandro / Martini, Mauro / Angarano, Simone et al. | BASE | 2023
    Schlagwörter: Mobile Robot , Machine Learning

    PIC4rl-gym: a ROS2 Modular Framework for Robots Autonomous Navigation with Deep Reinforcement Learning

    Freier Zugriff
    Martini, Mauro / Eirale, Andrea / Cerrato, Simone et al. | BASE | 2023
    Schlagwörter: Mobile Robot , Deep Reinforcement Learning

    Examining nonlinearity in population inflow estimation using big data: An empirical comparison of explainable machine learning models

    Hu, Songhua / Xiong, Chenfeng / Chen, Peng et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning , Mobile device location data

    Detection of Defects in the Railway Tracks Based on YOLOv5

    Sangeetha, T. / Mohanapriya, M. / Prakasham, P. | Springer Verlag | 2023
    Schlagwörter: Machine learning , Mobile Computing , Mobile and Network Security

    Learning to type with mobile keyboards: Findings with a randomized keyboard

    Freier Zugriff
    Jiang, Xinhui / Jokinen, Jussi P.P. / Oulasvirta, Antti et al. | BASE | 2023
    Schlagwörter: Learning , Mobile devices

    Route planning for last-mile deliveries using mobile parcel lockers: A hybrid q-learning network approach

    Liu, Yubin / Ye, Qiming / Escribano-Macias, Jose et al. | Elsevier | 2023
    Schlagwörter: Mobile Parcel Lockers , Reinforcement Q-Learning

    A Review on Behavioural Biometric GAIT Recognition

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

    DECCo-A Dynamic Task Scheduling Framework for Heterogeneous Drone Edge Cluster

    Freier Zugriff
    Zhiyang Zhang / Die Wu / Fengli Zhang et al. | DOAJ | 2023
    Schlagwörter: mobile edge computing , deep reinforcement learning

    Computing Scheduling for Autonomous Driving

    Li, Mushu / Gao, Jie / Shen, Xuemin (Sherman) et al. | Springer Verlag | 2023
    Schlagwörter: Mobile edge computing , Deep reinforcement learning , Wireless and Mobile Communication

    Ontology-Based Task Allocation for Heterogeneous Resources in Line-Less Mobile Assembly Systems

    Freier Zugriff
    Kluge-Wilkes, Aline / Gunaseelan, Balaji / Schmitt, Robert H. | Springer Verlag | 2023
    Schlagwörter: Line-less Mobile Assembly Systems , Machine Learning

    Automation of unstructured production environment by applying reinforcement learning

    Freier Zugriff
    Nambiar, Sanjay / Wiberg, Anton / Tarkian, Mehdi | BASE | 2023
    Schlagwörter: Reinforcement Learning , Mobile Robot

    Autonomous Traffic Sign Detection and Recognition in Real Time

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

    Resource Scheduling for UAV-Assisted Failure-Prone MEC in Industrial Internet

    Freier Zugriff
    Xuehua Li / Yu Fang / Chunyu Pan et al. | DOAJ | 2023
    Schlagwörter: mobile edge computing , deep reinforcement learning

    JO-TADP: Learning-Based Cooperative Dynamic Resource Allocation for MEC–UAV-Enabled Wireless Network

    Freier Zugriff
    Shabeer Ahmad / Jinling Zhang / Adil Khan et al. | DOAJ | 2023
    Schlagwörter: mobile edge computing , anarchic federated learning