Search Results - "Vrskova, Roberta"

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  1. 1

    A New Deep-Learning Method for Human Activity Recognition by Vrskova, Roberta, Kamencay, Patrik, Hudec, Robert, Sykora, Peter

    Published in Sensors (Basel, Switzerland) (04-03-2023)
    “…Currently, three-dimensional convolutional neural networks (3DCNNs) are a popular approach in the field of human activity recognition. However, due to the…”
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    Journal Article
  2. 2

    Human Activity Classification Using the 3DCNN Architecture by Vrskova, Roberta, Hudec, Robert, Kamencay, Patrik, Sykora, Peter

    Published in Applied sciences (01-01-2022)
    “…Interest in utilizing neural networks in a variety of scientific and academic studies and in industrial applications is increasing. In addition to the growing…”
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    Journal Article
  3. 3

    A New Approach for Abnormal Human Activities Recognition Based on ConvLSTM Architecture by Vrskova, Roberta, Hudec, Robert, Kamencay, Patrik, Sykora, Peter

    Published in Sensors (Basel, Switzerland) (12-04-2022)
    “…Recognizing various abnormal human activities from video is very challenging. This problem is also greatly influenced by the lack of datasets containing…”
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    Journal Article
  4. 4

    Pressure mapping tool for the correct footprint learning in the home environment by Vrskova, Roberta, Hudec, Robert

    “…In this paper, novel system for monitoring of foot surface is described. Firstly, the hardware part using Arduino Due and Velostat (Conductive material) was…”
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    Conference Proceeding
  5. 5

    Hyperparameter Tuning of ConvLSTM Network Models by Vrskova, Roberta, Sykora, Peter, Kamencay, Patrik, Hudec, Robert, Radil, Roman

    “…Deep learning algorithms have achieved amazing performance in computer vision area. However, a biggest problem deep learning has, is the high dependency on…”
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    Conference Proceeding
  6. 6

    Recognition of Human Activity and Abnormal Behavior using Deep Neural Network by Vrskova, Roberta, Hudec, Robert, Kamencay, Patrik, Sykora, Peter

    Published in 2022 ELEKTRO (ELEKTRO) (23-05-2022)
    “…Recognizing various abnormal activities of human behavior from video is very challenging. The overall results are affected by the available data-sets. The…”
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    Conference Proceeding
  7. 7

    Violent Behavioral Activity Classification Using Artificial Neural Network by Vrskova, Roberta, Hudec, Robert, Sykora, Peter, Kamencay, Patrik, Benco, Miroslav

    “…Detection of video information is a great help in classifying non-standard / abnormal human behavior. It is more difficult to detect objects from videos when…”
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    Conference Proceeding
  8. 8

    Education of Video Classification Based by Neural Networks by Vrskova, Roberta, Hudec, Robert, Sykora, Peter, Kamencay, Patrik, Radilova, Martina

    “…In this paper an artificial neural network for video classification were presented. Artificial neural networks were essential part of the video classification…”
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    Conference Proceeding
  9. 9

    Comparison of convolutional neural network in Python environment on CPU and GPU by Sykora, Peter, Sinko, Martin, Vrskova, Roberta, Kamencay, Patrik, Hudec, Robert

    Published in 2020 ELEKTRO (01-05-2020)
    “…the comparison of the convolutional neural network in Python environment is presented in this paper. The Anaconda platform provides free and easy to use tools…”
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    Conference Proceeding
  10. 10

    Innovative 3D Reconstruction Method based on Patch Based Technique using Neural Network by Kamencay, Patrik, Radilova, Martina, Radil, Roman, Benco, Miroslav, Hudec, Robert, Vrskova, Roberta

    “…In this paper, the innovative 3D reconstruction method of human skull, based on the patch based technique using Convolutional Neural Network (CNN) is proposed…”
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    Conference Proceeding