Showing 3,141 - 3,160 results of 7,164 for search 'NET information', query time: 0.13s Refine Results
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    The analysis of activity of the construction organizations based on studying of profit indicators by A. V. Sharkova, T. I. Chinaeva, A. S. Klepackaya

    Published 2018-11-01
    “…However, the value of profitability on net profit in Ltd “Stroyregistr” is lower than the industry average value, which is associated with a low value of the net profit.As a result, the reasons that influenced the low value of net profit were identified. …”
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    Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning by Jon Alvarez Justo, Alexandru Ghita, Daniel Kovac, Joseph L. Garrett, Mariana-Iuliana Georgescu, Jesus Gonzalez-Llorente, Radu Tudor Ionescu, Tor Arne Johansen

    Published 2025-01-01
    “…Unlike 2D-CNNs and ViTs, which encode both spectral and spatial information, 1D-Justo-LiuNet focuses solely on the rich spectral features in hyperspectral data, benefitting from the high-dimensional feature space. …”
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    Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

    Published 2024-09-01
    “…To develop the direction, a new set of information from open sources and synthetic data are proposed. …”
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    MLGFENet: Multiscale Local–Global Feature Enhancement Network for High-Resolution Remote Sensing Image Change Detection by Huanhuan Lv, Xianqi Yan, Hui Zhang, Cuiping Shi, Ruiqin Wang

    Published 2025-01-01
    “…By leveraging the enhanced ResNet50 architecture and incorporating the atrous spatial pyramid pooling technique, this module is capable of accurately capturing the multiscale local details of bitemporal images. …”
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    Enhanced Temporal Action Localization with Separated Bidirectional Mamba and Boundary Correction Strategy by Xiangbin Liu, Qian Peng

    Published 2025-07-01
    “…However, existing methods have difficulties in capturing long-term actions due to focusing on local temporal information, which leads to poor performance in localizing long-term temporal sequences. …”
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