MASFF-Net: Multiazimuth Scattering Feature Fusion Network for SAR Target Recognition by Huiqiang Zhang, Wei Wang, Jie Deng, Yue Guo, Shengqi Liu, Jun Zhang

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Mixed Programming Technology with C# and Matlab Based on .NET Assembly and its Application by CHEN Liusong, YANG Li, ZHANG Yu, LIU Li

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A Method of Coupler State Recognition Based on ResNet and Its Application by ZHENG Yaping, SU Zhen

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Automated liver and spleen segmentation for MR elastography maps using U-Nets by Noah Jaitner, Jakob Ludwig, Tom Meyer, Oliver Boehm, Matthias Anders, Biru Huang, Jakob Jordan, Tobias Schaeffter, Ingolf Sack, Rolf Reiter

“…The excellent performance we found for automated liver and spleen segmentation when applying 2D and 3D U-Nets to MRE magnitude images suggests that fully automated quantification of MRE parameters within anatomical regions is feasible by leveraging the previously unexploited anatomical information conveyed in MRE magnitude images.…”
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The net cash flow indicator of the order portfolio as an indicator of the contractor economic reliability by D. A. Borisyuk, O. E. Astafieva

“…Modern information transparency of the results of organizations’ activities determines the use of non-standard tools of financial and economic analysis. …”
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StabilizeNet: a novel framework for alleviating non-stationarity in time series by AN Junxiu, WAN Lilang

“…Compared with advanced time series prediction models such as Informer, SCINet, Pyraformer, FEDformer, and Crossformer, StabilizeNet demonstrated effectiveness and superiority on multiple datasets. …”
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WTSM-SiameseNet: A Wood-Texture-Similarity-Matching Method Based on Siamese Networks by Yizhuo Zhang, Guanlei Wu, Shen Shi, Huiling Yu

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Missing Dropper Nylon Bush Detection Based on YOLOv4 and AlexNet by ZHANG Huiyuan, SUN Mulan, CHEN Hao

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Vertebra CT Image Segmentation Method Based on Improved U-Net Model by LIU Xia, YU Hong-bo, LI Bing, WANG Bo

“…In view of the problem that the classical u-net model does not make full use of the image information during the CT segmentation of vertebrae，which leads to unclear image edge segmentation，an improved algorithm of CT image segmentation of vertebrae based on the u-net model is proposed. …”
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Analysis of Net Profit and Cash Flow to Share Price Through Auditor Quality by Reva Maria Valianti, Rismansyah Rismansyah, Adie Kurbani

“…The design of this research Net profit in financial statements is one of the company's performances to get more value from investors. …”
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Net Income and CSR Disclosure as Predictors Shares Price and Return per Share by Wahyuni Rusliyana Sari, Anita Roosmalina Matusin

“…While in the second model using the enter method shows delta net income and delta CSR total had a positive effect on return per shares, and delta CSR environment has a negative effect on return per share, while those using stepwise method delta CSR social and delta CSR net income had a positive impact on return per share. …”
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MSRD-Unet: Multiscale Residual Dilated U-Net for Medical Image Segmentation by Muna Khalaf, Ban N. Dhannoon

“…The obtained results proved that the MSDR-Unet model outperforms several state-of-the-art U-Net-based methods. …”
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Corn variety identification based on improved EfficientNet lightweight neural network by Jinpu Xu, Jinpu Xu, Jinhao Lan, Guangjie Lv, Dexin Ma

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SPBA-Net point cloud object detection with sparse attention and box aligning by Haojie Sha, Qingrui Gao, Hao Zeng, Kai Li, Wang Li, Xuande Zhang, Xiaohui Wang

“…In this paper, we propose a novel mechanism named Keypoint Guided Sparse Attention (KGSA) to enhance the semantic information of point clouds by calculating Euclidean distances between selected keypoints and others. …”
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Tomato ripeness detection method based on FasterNet block and attention mechanism by Ming Chen, Yixuan Xu, Wanxiang Qin, Yan Li, Jiyang Yu

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A steel surface defect detection method based on improved RetinaNet by Zhanglin Yang, Yu Liu

“…Abstract To address the issue of low detection accuracy caused by the variety of steel surface defect types, large shape differences, and the similarity between defects and the background, this paper proposes an improved method for detecting steel surface defects based on RetinaNet. Firstly, deformable convolutions are integrated into the ResNet backbone for feature extraction, allowing the convolutional kernels to adaptively adjust their shapes when confronted with defects of varying shapes, thereby capturing defect regions more accurately. …”
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Transfer Learning Model for Crack Detection in Side SlopesBased on Crack-Net by Na Li, Yilong Zhang, Qing Zhang, Shaoguang Zhu

“…This study introduces a novel deep learning model, Crack-Net, which leverages a multi-modal feature fusion mechanism and is developed using transfer learning. …”
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Evaluation of autumn mist‐netting data for monitoring passerine populations in interior Alaska by Anna‐Marie Benson, Walter N. Johnson, Ronald P. Barry, Susan L. Guers

“…Abstract We evaluated the data from 2 autumn mist‐netting stations for monitoring passerine population trends and measuring the timing of migration. …”
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Handwritten W-Net for High-Frequency Guided Single-Image Super-Resolution by Xiang Yang, Chen Fang, Xiaolan Xie, Minggang Dong

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An Improved Neural Network Model Based on DenseNet for Fabric Texture Recognition by Li Tan, Qiang Fu, Jing Li

“…To address these limitations, this paper introduces a novel model, called the Differentiated Leaning Weighted DenseNet (DLW-DenseNet), which builds upon the DenseNet architecture. …”
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