Showing 141 - 160 results of 7,164 for search 'NET information', query time: 0.12s Refine Results
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    Seismic Random Noise Attenuation Using DARE U-Net by Tara P. Banjade, Cong Zhou, Hui Chen, Hongxing Li, Juzhi Deng, Feng Zhou, Rajan Adhikari

    Published 2024-10-01
    “…In this research, we propose modifications to the standard U-Net structure by integrating dense and residual connections, which serve as the foundation of our approach named the dense and residual (DARE U-Net) network. …”
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  5. 145

    Similarity Evaluation of Patent Drawings using ResNet and SIFT by Hyuna Kim, Seongju Kim, Cheonho Park, Kyungsoon Kim

    Published 2024-09-01
    “…The findings reveal that, unlike ResNet-50, which compares similarity using the entire image information, SIFT evaluates similarity based on attribute information, such as key points within the image. …”
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  6. 146

    FI‐Net: Rethinking Feature Interactions for Medical Image Segmentation by Yuhan Ding, Jinhui Liu, Yunbo He, Jinliang Huang, Haisu Liang, Zhenglin Yi, Yongjie Wang

    Published 2024-12-01
    “…To solve the problems of existing hybrid networks based on convolutional neural networks (CNN) and Transformers, we propose a new encoder–decoder network FI‐Net based on CNN‐Transformer for medical image segmentation. …”
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    Improved ResNet algorithm based intelligent interference identification by Jian MA, Guangjin ZHANG, Lei ZHANG, Jingwei DAI

    Published 2022-10-01
    “…The labor cost of the current network operation and maintenance is high and the efficiency is low.How to quickly and accurately identify the type of network interference, and improve the work efficiency of the maintenance personnel has become an urgent problem to be solved.An intelligent interference identification method of improved deep residual network (ResNet) was studied.The interference data was collected and preprocessedby connecting with the communication interference data interface of the operator's northbound network management.The type of itwaslabelled and corrected by the current network experts to form an offline interference data set.Then the interference frequency domain information was used to generate the interference spectrum waveform image, and performed image processing and data processing for different interference types.After that, the traditional Res Net algorithm was improved according to the business characteristics to extract the features of single interference type.The features were weighted in the compound interference type to identify any type of interference.Finally, the interference data was identified online by importing the trained model, which effectively improved the accuracy and efficiency of interference identification.…”
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  15. 155

    Fault diagnosis in industrial process by using LSTM and an elastic net by M. A. Márquez-Vera, O. López-Ortega, L. E. Ramos-Velasco, R. M. Ortega-Mendoza, B. J. Fernández-Neri, N. S. Zúñiga-Peña

    Published 2021-04-01
    “…This memory is fed with the most representative variables selected by an elastic net to use both, the L1 and L2 norms. These strategies are applied in the Tennessee Eastman process, a benchmark widely used for fault diagnosis. …”
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    GoalNet: Goal Areas Oriented Pedestrian Trajectory Prediction by Amar Fadillah, Ching-Lin Lee, Zhi-Xuan Wang, Kuan-Ting Lai

    Published 2025-01-01
    “…In this paper, we propose GoalNet, a new trajectory prediction neural network based on the goal areas of a pedestrian. …”
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