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    Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach

    Greggio, Nicola / Bernardino, Alexandre / Santos-Victor, José | Springer Verlag | 2011
    Schlagwörter: Unsupervised learning , Machine learning

    Image Processing Method Based on Cellular Automata Model and Convolutional Neural Network

    Mo, Jinglan / Wu, Yangyang | Springer Verlag | 2022
    Schlagwörter: Machine learning

    A Compact Orthomode Transducer in K-Band for Satellite Communications

    Kumar, V. Santhosh / Lavuri, NageswaraRao / Shaik, Abdul Subhani | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Unconstrained licence plate and text localization and recognition

    Matas, J. / Zimmermann, K. | Tema Archiv | 2005
    Schlagwörter: Lernen , maschinelles Lernen

    Dealing with Sybil Attack in VANET

    Pattanayak, Binod Kumar / Pattnaik, Omkar / Pani, Sasmita | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    Way Forward for New and Current Users - Workshop Intro-Uncontrolled Airspace Commercial Space Traffic Management

    P. H. Kopardekar / S. J. Zelinski | NTIS | 2017
    Schlagwörter: Machine learning

    Architecture and Implementation of a Scalable Sensor Data Storage and Analysis System Using Cloud Computing and Big Data Technologies

    Aydin, Galip / Hallac, Ibrahim Riza / Karakus, Betul et al. | Tema Archiv | 2015
    Schlagwörter: maschinelles Lernen

    Machine Learning Technologies in Internet of Vehicles

    Ali, Elmustafa Sayed / Hassan, Mona Bakri / Saeed, Rashid A. | Springer Verlag | 2021
    Schlagwörter: Machine learning , Deep learning

    Advancing Short-Term Traffic Congestion Prediction: Navigating Challenges in Learning-Based Approaches

    Wang, Chen / Atkison, Travis / Duan, Qiuhua | Springer Verlag | 2024
    Schlagwörter: Deep Learning , Machine Learning

    Envisioning a New Command and Control (C2) Architecture for All-Domain Operations

    S. Lee / G. Grant / E. Neiwood | NTIS | 2021
    Schlagwörter: Machine learning

    Traffic Sign Detection and Recognition

    Pillai, Preeti S. / Kinnal, Bhagyashree / Pattanashetty, Vishal et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Sampling-based exploration strategies for mobile robot autonomy

    Freier Zugriff
    Steinbrink, Marco | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    Artificial Intelligence

    Guo, Zhiwei / Yu, Keping | Springer Verlag | 2021
    Schlagwörter: Machine learning , Machine learning AI , Supervised learning , Unsupervised learning , Semi-supervised learning , Reinforcement learning , Deep learning AI

    Characterizing Smart Grid Events Using Clustering Methods

    Klinginsmith, Eric / Barella, Richard / Zhao, Xinghui et al. | Springer Verlag | 2017
    Schlagwörter: Machine learning

    Intelligence After Next: Breaking Past AI's Confirmation Bias

    M. Shea | NTIS | 2021
    Schlagwörter: Machine learning

    3D vehicle sensor based on monocular vision

    Ponsa, D. / Lopez, A. / Lumbreras, F. et al. | Tema Archiv | 2005
    Schlagwörter: maschinelles Sehen , Lernen

    Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems

    Dai, Yueyue / Ma, Huihui | Springer Verlag | 2021
    Schlagwörter: Machine learning , Reinforcement learning , Supervised learning , Semi-supervised learning , Meta-learning , Unsupervised learning , Federated learning , Transfer learning

    Developing an Air Force Retention Early Warning System: Concept and Initial Prototype

    D. Schulker / L. M. Harrington / M. Walsh et al. | NTIS | 2021
    Schlagwörter: Machine learning

    Pioneering Data Quality and Security in Smart Grid

    Roy, Bright / Tripathi, Prashant / Goel, Rahul | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Acoustic sleepiness analysis - using speech input from driver assistance systems for the phonetic detection of critical driver states

    Krajewski, J. / Sommer, D. / Schupp, T. et al. | Tema Archiv | 2009
    Schlagwörter: maschinelles Lernen

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