Showing 1,181 - 1,200 results of 7,164 for search 'NET information', query time: 0.14s Refine Results
  1. 1181

    Image Alignment Based on Deep Learning to Extract Deep Feature Information from Images by Lin Zhu, Yuxing Mao, Jianyu Pan

    Published 2025-07-01
    “…To overcome the limitations of traditional image alignment methods in capturing deep semantic features, a deep feature information image alignment network (DFA-Net) is proposed. …”
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    BUILDING THE AIR DEFENSE COVERT INFORMATION AND MEASURING SYSTEM BASED ON ORTHOGONAL CHAOTIC SIGNALS by Kostantiv Vasyuta, Fedor Zots, Irina Zakharchenko

    Published 2019-12-01
    “…The concept of building a net-centric multi-radar information measuring system (MIMS) on the basis of the specific properties of chaotic signals (processes) is proposed in the paper. …”
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    Article
  6. 1186

    Intelligent aerodynamic modelling method for steady/unsteady flow fields of airfoils driven by flow field images based on modified U-Net neural network by Baigang Mi, Wenqi Cheng

    Published 2025-12-01
    “…An intelligent aerodynamic model for steady flow field of aerofoils is constructed based on the U-Net neural network architecture, and further incorporating a long short-term memory (LSTM) module to construct a U-Net-LSTM neural network architecture to extract the temporal features. …”
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    Multi‑feature geological hazard susceptibility assessment by integrating improved ResNet and transfer learning: A case study of the Loess Plateau in Northern Shaanxi by Hao Cheng, Chong Xu, Rong Guo, Hai-kun Jing, Zeng-lin Hong, Feng-chen Fu, Ruo-shu Li

    Published 2025-09-01
    “…Transfer learning was applied by fine-tuning pretrained ResNet-18 parameters on the target region. Results showed that the transfer learned SFResNet-CBAM achieved an accuracy of 0.826, precision of 0.831, recall of 0.825, F1 of 0.825, and AUC of 0.918 on the test set, representing improvements of 3.0 %, 3.2 %, 2.9 %, 2.6 %, and 5.0 % over the ResNet-18 baseline; AUC increased by 4.3 % compared to the non-attention SFResNet. …”
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  12. 1192

    SEMSF-Net: Explainable Squeeze–Excitation Multiscale Fusion Network for Aerial Scene and Coastal Area Recognition Using Remote Sensing Images by Muhammad John Abbas, Muhammad Attique Khan, Ameer Hamza, Shrooq Alsenan, Areej Alasiry, Mehrez Marzougui, Yang Li, Yunyoung Nam

    Published 2025-01-01
    “…This article proposed a novel squeeze–excitation multiscale fusion network (SEMSF-Net) to classify LULC and the coastal regions using RS images. …”
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  13. 1193

    Design and Implementation of Sports Industry Information Service Management System Based on Data Mining by Hang Zhang

    Published 2022-01-01
    “…Combining the development of our city’s sports industry, based on B/S mode, with ASP.NET for the development of technology, designed specifically for sports enterprises and users to provide an information exchange platform, this paper studies the user-based collaborative filtering recommendation algorithm and its application in sports industry information service management system, to design and develop the corresponding sports industry information service management system.…”
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  14. 1194

    MODEL OF SYMBIOTIC INFORMAL BUSINESS NETWORK BASED ON SERVICES OF FUNCTIONALLY DEPENDENT BUSINESS UNITS by O. Gabdrakhmanov

    Published 2018-01-01
    “…The essence of informal business net-works is analysed in the context of the theoretical and methodological approach to the more general concept of the informal economy, which has been in considerable demand in research in recent years. …”
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  15. 1195

    Research status and development trends of security assurance for space-ground integration information network by Feng-hua LI, Li-hua YIN, Wei WU, Lin-jie ZHANG, Guo-zhen SHI

    Published 2016-11-01
    “…Space-ground integration information network consists of space-based backbone network, space-based access network, the node net of foundation, Internet, mobile communication network, which has important significance for the realization of the target of national security strategy. …”
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    Information flow model and service flow calculation of electric power backbone communication network by Ziyan ZHAO, Jianhui FAN, Xin JIN, Dawei ZHANG, Yang LIU, Li MA, Xiaoying ZOU

    Published 2017-05-01
    “…Electric power backbone communication network service analysis and service flow calculation is the most important aspect for network plan and optimization.According to the smart grid service carried on backbone commu-nication network,the basic service model and service flow calculation method was carried out for dedicated circuit service and IP service.Based on the requirement of the “13<sup>th</sup>Five-Year” plan,the typical power system production and management information service model were carried out and the every service data flow could be calculated.The service models and service data flow calculation method were used in the “13<sup>th</sup>Five-Year” plan communication net-work plan of state grid.…”
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