Synonyme wurden verwendet für: Lernen Maschinelles Lernen
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1–50 von 326 Ergebnissen
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    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

    Voronoi Diagram-Based Approach to Identify Maritime Corridors

    Masmoudi, Mariem / Chakhar, Salem / Chabchoub, Habib | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Visualisierung der internen Prozesse Künstlicher Neuronaler Netze in Virtual Reality

    Freier Zugriff
    Meißler, Nadine | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2019
    Schlagwörter: Machine Learning , Deep Learning

    Virtual-Reality-Simulation (VRS) (Teilprojekt 7). BMBF-Verbundprojekt DeepC

    Kühnapfel, Uwe / Röllich, Thorsten / Bretthauer, Georg | Tema Archiv | 2005
    Schlagwörter: maschinelles Lernen

    Virtual Interactive Planning Model of Landscape Architecture in Settlement Area Based on Situational Awareness

    Diao, Jun-qin / Cui, Xue-yong | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    Video-Based Abnormal Driving Behavior Detection and Risk Control Using Machine Learning

    Sai Prasad, Kashi / Pasupathy, S. | 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

    Vehicular fuel consumption estimation using real-world measures through cascaded machine learning modeling

    Moradi, Ehsan / Miranda-Moreno, Luis | Elsevier | 2020
    Schlagwörter: Machine learning

    Vehicle Trajectory Outlier Detection for Road Safety

    AlShanbari, Hanan S. / Al-Qadi, Heba T. / Al-Hassani, Ashwaq M. et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Vehicle Over Speed Detection System

    Ganesan, K. / Manikandan, N. S. / Sugumaran, Vijayan | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Vehicle Entry Management System Using Image Processing

    Vallikannu, R. / kanth, Krishna / Kumar, L. SaiPavan et al. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    UUV teams, control from a biological perspective

    McDowell, P. / Chen, J. / Bourgeois, B. | Tema Archiv | 2002
    Schlagwörter: Lernen , maschinelles Lernen

    Using Object Affordances to Improve Object Recognition

    Freier Zugriff
    Castellini, Claudio / Tommasi, Tatiana / Noceti, Nicoletta et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2011
    Schlagwörter: machine learning

    Using machine learning to help find paths through the map in Slay the Spire

    Freier Zugriff
    Porenius, Oscar / Hansson, Nils | BASE | 2021
    Schlagwörter: Machine learning

    Using explainable machine learning to understand how urban form shapes sustainable mobility

    Wagner, Felix / Milojevic-Dupont, Nikola / Franken, Lukas et al. | Elsevier | 2022
    Schlagwörter: Explainable machine learning

    Urban traffic control based on learning agents

    Gregoire, P.L. / Desjardins, C. / Laumonier, J. et al. | Tema Archiv | 2007
    Schlagwörter: Lernen , maschinelles Lernen

    Universiti Malaysia Pahang Autonomous Shuttle Development: Lane Classification Analysis Using Convolutional Neural Network (CNN)

    Yee, Lee Yin / Zakaria, Muhammad Aizzat | 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

    Tutorial: Natural language processing with Python

    Freier Zugriff
    Santhanam, Sivasurya | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Machine learning

    T-Rex: The NASA Technology Taxonomy Recommender System

    Ellis Giles / Ryan Miller | NTRS | 2022
    Schlagwörter: Machine Learning

    Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis

    Liu, Xiang / Chen, Xiaohong / Potoglou, Dimitris et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Transit electrification state of the art: A machine-learning based text mining approach

    Eldeeb, Gamal / Mohamed, Moataz | Elsevier | 2022
    Schlagwörter: Machine learning text mining

    Trajectory based Flight Phase Identification with Machine Learning for Digital Twins

    Arts, E. / Kamtsiuris, A. / Meyer, H. et al. | DataCite | 2021
    Schlagwörter: Machine Learning

    Traffic volume and road network structure: Revealing transportation-related factors on PM2.5 concentrations

    Yu, Chengcheng / Deng, Yongqi / Qin, Zhengtao et al. | Elsevier | 2023
    Schlagwörter: Bayesian machine learning

    Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification

    Baro, X. / Escalera, S. / Vitria, J. et al. | Tema Archiv | 2009
    Schlagwörter: maschinelles Sehen , Lernen

    Traffic Sign Detection and Recognition

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

    Traffic Rule Violation Detection System: Deep Learning Approach

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

    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 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 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

    Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory

    Kabir, Rezwana / Remias, Stephen M. / Waddell, Jonathan et al. | Elsevier | 2023
    Schlagwörter: Machine Learning

    The NASA systems autonomy program: applying AI in space

    Lum, H. | Tema Archiv | 1988
    Schlagwörter: MACHINE LEARNING

    The Importance of Applying Artificial Intelligence on Unmanned Aerial Vehicle

    Taberkit, Amine Mohammed / Kechida, Ahmed / Bouguettaya, Abdelmalek | Springer Verlag | 2020
    Schlagwörter: Machine learning

    The impact of smart traffic interventions on roadside air quality employing machine learning approaches

    Munir, Said / Luo, Zhiwen / Dixon, Tim et al. | Elsevier | 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

    The Bees Algorithm—A Gentle Introduction

    Castellani, Marco / Pham, D. T. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    The application of the Bees Algorithm in a Digital Twin for Optimising the Wire Electrical Discharge Machining (WEDM) Process Parameters

    Packianather, Michael S / Alexopoulos, Theocharis / Squire, Sebastian | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques

    Lee, Hanbong / Malik, Waqar / Jung, Yoon C. | NTRS | 2016
    Schlagwörter: machine learning

    Task Optimisation for a Modern Cloud Remanufacturing System Using the Bees Algorithm

    Caterino, Mario / Fera, Marcello / Macchiaroli, Roberto et al. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Surround View pedestrian detection

    Freier Zugriff
    Gressmann, Markus | TIBKAT | 2015
    Schlagwörter: Machine learning

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

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

    Study of Automatic Anomalous Behaviour Detection Techniques for Maritime Vessels

    Abdoulaye Sidibé | Online Contents | 2017
    Schlagwörter: Active learning , Learning behaviour , Machine learning