1–20 von 407 Ergebnissen
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    A comparative analysis of SLR, MLR, ANN, XGBoost and CNN for crop height estimation of sunflower using Sentinel-1 and Sentinel-2

    Abdikan, Saygin / Sekertekin, Aliihsan / Narin, Omer Gokberk et al. | Elsevier | 2022
    Schlagwörter: Artificial Neural Network , Convolutional Neural Network

    Prediction of Nonlinear Stiffness of Automotive Bushings by Artificial Neural Network Models Trained by Data from Finite Element Analysis

    Jung, Yeon-Woo / Kim, Heung-Kyu | Springer Verlag | 2020
    Schlagwörter: Artificial Neural Network , Convolutional Neural Network

    Point cloud processing for environmental analysis in Autonomous Driving using Deep Learning

    Freier Zugriff
    Simon, Martin / Technische Universität Ilmenau / Universitätsverlag Ilmenau | TIBKAT | 2023
    Schlagwörter: Neuronales Netz , Convolutional Neural Network

    Multi-task near-field perception for autonomous driving using surround-view fisheye cameras

    Freier Zugriff
    Ravi Kumar, Varun / Technische Universität Ilmenau | TIBKAT | 2021
    Schlagwörter: Neuronales Netz , Convolutional Neural Network

    Lane marking detection and classification with combined deep neural network for driver assistance

    Zhang, Weiwei / Liu, Hui / Wu, Xuncheng et al. | SAGE Publications | 2019
    Schlagwörter: recurrent neural network , convolutional neural network

    A computer vision framework using Convolutional Neural Networks for airport-airside surveillance

    Thai, Phat / Alam, Sameer / Lilith, Nimrod et al. | Elsevier | 2022
    Schlagwörter: Convolutional Neural Network

    Smartphone sensors are sufficient to measure smoothness of car driving ; Smartphonesensorer är tillräckliga för att mäta mjukhet i bilkörning

    Freier Zugriff
    Bränn, Jesper | BASE | 2017
    Schlagwörter: convolutional neural network , artificial neural network

    Dust storm detection of a convolutional neural network and a physical algorithm based on FY-4A satellite data

    Jiang, Hong / He, Qing / Zhang, Jie et al. | Elsevier | 2022
    Schlagwörter: Convolutional neural network

    Convolutional neural network for detecting railway fastener defects using a developed 3D laser system

    Zhan, You / Dai, Xianxing / Yang, Enhui et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: convolutional neural network

    Stack-CNN algorithm: A new approach for the detection of space objects

    Freier Zugriff
    Montanaro, A. / Ebisuzaki, T. / Bertaina, M. | BASE | 2022
    Schlagwörter: Convolutional neural network

    3D vehicle detection on an FPGA from LiDAR point clouds

    Freier Zugriff
    García López, Javier / Moreno-Noguer, Francesc / Agudo, Antonio | BASE | 2019
    Schlagwörter: Convolutional Neural Network

    A deep learning approach for quality enhancement of surveillance video

    Ding, Dandan / Tong, Junchao / Kong, Lingyi | Taylor & Francis Verlag | 2020
    Schlagwörter: Convolutional Neural Network

    Deep learning for asteroids autonomous terrain relative navigation

    Mancini, Pierpaolo / Cannici, Marco / Matteucci, Matteo | Elsevier | 2022
    Schlagwörter: Convolutional neural network , Siamese convolutional neural network

    Implementation Of Android-Based Fish Detection & Recognition System Using Convolutional Neural Network Method

    Freier Zugriff
    Faikul Umam / Ach. Dafid | BASE | 2023
    Schlagwörter: Convolutional Neural Network Method

    Convolutional neural network for recognizing highway traffic congestion

    Cui, Hua / Yuan, Gege / Liu, Ni et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: Convolutional Neural Network (CNN)

    Car‐following trajectory data imputation with adversarial convolutional neural network

    Freier Zugriff
    Zhao, De / Zhang, Yan / Wang, Wei et al. | Wiley | 2023
    Schlagwörter: adversarial neural network , convolutional neural network

    An Integrated Approach for Traffic Scene Understanding from Monocular Cameras

    Oeljeklaus, Malte | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2021
    Schlagwörter: Scene Understanding – Environment Representation – 3D Reconstruction – Convolutional Neural Networks , Neuronales Netz

    Applying a deep learning approach for transportation safety planning by using high-resolution transportation and land use data

    Cai, Qing / Abdel-Aty, Mohamed / Sun, Yangyang et al. | Elsevier | 2019
    Schlagwörter: Convolutional neural network

    Assessment of approach separation with probabilistic aircraft wake vortex recognition via deep learning

    Chu, Nana / Ng, Kam K.H. / Liu, Ye et al. | Elsevier | 2023
    Schlagwörter: Convolutional neural network , Bayesian neural network

    DiversityScanner: Robotic handling of small invertebrates with machine learning methods

    Freier Zugriff
    Wuhrl L. / Pylatiuk C. / Giersch M. et al. | BASE | 2022
    Schlagwörter: convolutional neural network