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    Development of a Novel Machine Learning Methodology for the Generation of a Gasoline Surrogate Laminar Flame Speed Database under Water Injection Engine Conditions

    Forte, Claudio / Bianchi, Gian Marco / Cazzoli, Giulio et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Artificial Intelligence for Spectral Analysis: a Comprehensive Framework

    Freier Zugriff
    Xie, Xiang | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    Assessing driving behavior influence on fuel efficiency using machine-learning and drive-cycle simulations

    Mohammadnazar, Amin / Khattak, Zulqarnain H. / Khattak, Asad J. | Elsevier | 2023
    Schlagwörter: Machine learning

    Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning

    Pawłowicz, Bartosz / Salach, Mateusz / Trybus, Bartosz | Springer Verlag | 2018
    Schlagwörter: Machine learning

    Interactive Energy Management Between Electric Vehicle Charging Stations and Electricity Distribution System

    Ge, Leijiao / Li, Yuanzheng | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Mobile WEKA as Data Mining Tool on Android

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

    Coupled Multi-network Constrained Planning of Energy Supplying Facilities for Hybrid Hydrogen-Electric Vehicles

    Ge, Leijiao / Li, Yuanzheng | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    ATD-2 Integrated Arrival/ Departure/Surface (IADS) System Machine Learning Services - Arrival Runway Model (ARM)

    Andrew Churchill / William J Coupe / Yoon C Jung | NTRS | 2021
    Schlagwörter: machine learning

    Combining learning and structure for robotic manipulation

    Freier Zugriff
    Kloss, Alina | TIBKAT | 2020
    Schlagwörter: Deep learning , Maschinelles Lernen

    Resilience Assessment Framework: Assessing Commercial Contributions to U.S. SpaceForce Mission Resilience

    O. Osoba / G. Nacouzi / J. Hagen et al. | NTIS | 2023
    Schlagwörter: Machine learning , Supervised machine learning

    Potential of machine learning for prediction of traffic related air pollution

    Wang, An / Xu, Junshi / Tu, Ran et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Examining active travel behavior through explainable machine learning: Insights from Beijing, China

    Yin, Ganmin / Huang, Zhou / Fu, Chen et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning

    Accelerating In-Vehicle Network Intrusion Detection System Using Binarized Neural Network

    Ma, Di / Zhang, Linxi / Yan, Xuke | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Real-Time Traffic Sign Detection Under Foggy Condition

    Anthony, Renit / Biswas, Jayanta | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Learning mobile manipulation actions from human demonstrations : an approach to learning and augmenting action models and their integration into task representations

    Freier Zugriff
    Welschehold, Tim | TIBKAT | 2020
    Schlagwörter: Maschinelles Lernen

    UAV Detection and Identification

    Ezuma, Martins / Erden, Fatih / Kumar Anjinappa, Chethan et al. | Wiley | 2020
    Schlagwörter: machine learning algorithms

    Designing [with] machines : task- and site-specific robotic teams for architectural in situ making

    Freier Zugriff
    Yablonina, Maria | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems

    Freier Zugriff
    Herman, Michael | TIBKAT | 2020
    Schlagwörter: Maschinelles Lernen , Bestärkendes Lernen (Künstliche Intelligenz)

    Behavior-specific proprioception models for robotic force estimation : a machine learning approach

    Freier Zugriff
    Berger, Erik | TIBKAT | 2018
    Schlagwörter: Maschinelles Lernen

    Intelligent Unmanned Air Vehicles for Public Safety Networks: Emerging Technologies and Research Directions

    Kaleem, Zeeshan / Ahmad, Ishtiaq / Duong, Trung Q. | Springer Verlag | 2022
    Schlagwörter: Federated learning , Machine learning

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