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Results 1891-1900 of 2296 (Search time: 0.003 seconds).
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Issue DateTitleAuthor(s)
2022Estimation CNN-Based Person Re-Identification Accuracy in Video Using Different DatasetsYe, S.; Ihnatsyeva, S.; Bohush, R.; Chen, C.; Ablameyko, S.
2019Fuzzy Logic Approximation and Deep Learning Neural Network for Fish Concentration MapsMäkiö, J.; Glukhov, D.; Bohush, R.; Hlukhava, T.; Zakharava, I.
2020Effective Object Localization in Images by Calculating Ratio and Distance Between PixelsBohush, R.; Ablameyko, S.; Adamovskiy, Y.; Glukhov, D.
2020Image Similarity Estimation Based on Ratio and Distance Calculation between FeaturesBohush, R.; Ablameyko, S.; Adamovskiy, E.; Savca, D.
2020Теоретико-вероятностный подход к моделированию респиратора на химически связанном кислородеЕхилевский, С. Г.; Голубева, О. В.; Потапенко, Е. П.; Ekhilevskiy, S.; Golubeva, O.; Potapenko, E.
2023Критерий прироста защитного действия изолирующего респиратора с неоднородно снаряженным регенеративным патрономЕхилевский, С. Г.; Голубева, О. В.; Забелендик, О. Н.; Yekhilevskiy, S.; Golubeva, O.; Zabelendik, O.
2019Video-Based Content Extraction Algorithm from Bank Cards for iOS Mobile DevicesBohush, R.; Kurilovich, A.; Ablameyko, S.
2019Robust Person Tracking Algorithm Based on Convolutional Neural Network for Indoor Video Surveillance SystemsBohush, R.; Zakharava, I.
2022Person re-identification accuracy improvement by training a CNN with the new large joint dataset and re-rankBohush, R.; Ihnatsyeva, S.; Ablameyko, S.
2023Person Re-identification in Video Surveillance Systems Using Deep Learning: Analysis of the Existing MethodsChen, H.; Ihnatsyeva, S.; Bohush, R.; Ablameyko, S.