Synonyme wurden verwendet für: learning
Suche ohne Synonyme: keywords:(learning)

61–80 von 762 Ergebnissen
|

    Traffic Sign Detection and Recognition

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

    Traffic signal networks simulator with learning emotional algorithm

    Ishihara, H. / Fukuda, T. | Tema Archiv | 2000
    Schlagwörter: Lernen

    Traffic Rule Violation Detection System: Deep Learning Approach

    Kathane, Mandar / Abhang, Shubham / Jadhavar, Abhishek et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine Learning

    TrafficNN: CNN-Based Road Traffic Conditions Classification

    Shipu, Monjurur Kader / Mamun, Faisal Al / Razu, Shamim Hossen et al. | Springer Verlag | 2021
    Schlagwörter: Deep learning

    Traffic incident detection using particle swarm optimization

    Srinivasan, D. / Loo, Wee-Hoon / Cheu, Ruey-Long | Tema Archiv | 2003
    Schlagwörter: Lernen

    Traffic Density Classification for Multiclass Vehicles Using Customized Convolutional Neural Network for Smart City

    Mane, Deepak / Bidwe, Ranjeet / Zope, Bhusan et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine Learning

    Traffic Congestion Control Using Hierarchical Decision Model

    Gandhi, Suprit Atul / Desai, Vinay Prakash / Abhyankar, Akshay Sameer et al. | Springer Verlag | 2020
    Schlagwörter: Online machine learning

    Traffic Congestion and Road Anomalies Detection Using CCTVs Images Processing, Challenges and Opportunities

    Es-Swidi, Ayoub / Ardchir, Soufiane / Elghoumari, Yassine et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning , Deep learning

    Traffic Analysis on Videos Using Deep Learning Techniques

    Telanakula, Srihasa / Kalluri, Hemantha Kumar | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Traffic accident analysis using machine learning paradigms

    Chong, M. / Abraham, A. / Paprzycki, M. | Tema Archiv | 2005
    Schlagwörter: Lernen , maschinelles Lernen

    Tracking Head Yaw by Interpolation of Template Responses

    Freier Zugriff
    Romero, Mario / Bobick, Aaron | BASE | 2004
    Schlagwörter: machine learning

    Toward Unsupervised Test Scenario Extraction for Automated Driving Systems from Urban Naturalistic Road Traffic Data

    Thiem, Christoph / Weber, Nico / Konigorski, Ulrich | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Towards Ontology-Guided Learning for Shepherding

    Campbell, Benjamin | Springer Verlag | 2021
    Schlagwörter: Guided learning , Hybrid learning

    Towards lifelong assistive robotics: a tight coupling between object perception and manipulation

    Freier Zugriff
    Hamidreza Kasaei, S. / Oliveira, Miguel / Lim, Gi Hyun et al. | BASE | 2018
    Schlagwörter: Open-ended learning , Interactive learning

    Towards behaviour inference in smart environments

    Freier Zugriff
    Antunes, Mário / Gomes, Diogo Nuno / Aguiar, Rui | BASE | 2013
    Schlagwörter: Learning (artificial intelligence) , Machine learning , Machine learning techniques

    Towards an Ontology-Based Recommender System for the Vehicle Sales Area

    Le, Ngoc Luyen / Abel, Marie-Hélène / Gouspillou, Philippe | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Towards a formal theory of learning

    Dalenoort, G. J. / European Society for the Study of Cognitive Systems | British Library Conference Proceedings | 2004
    Schlagwörter: Learning

    Toward autonomous driving: the CMU Navlab. II. Architecture and systems

    Thorpe, C. / Herbert, M. / Kanade, T. et al. | Tema Archiv | 1991
    Schlagwörter: LERNEN

    Toward a Smart City: Reinforcement Learning for Traffic Light Control

    Ait Ouallane, Asma / Bahnasse, Ayoub / Bakali, Assia et al. | Springer Verlag | 2023
    Schlagwörter: Reinforcement learning

    To Perform Road Signs Recognition for Autonomous Vehicles Using Cascaded Deep Learning Pipeline

    Freier Zugriff
    Ayachi, Riadh / Said, Yahia ElFahem / Atri, Mohamed | BASE | 2019
    Schlagwörter: Deep learning