FEATURES OF PREPARING FOREIGN-SPEAKING CHILDREN FOR FINAL CERTIFICATION IN THE RUSSIAN LANGUAGE IN GRADES 9 AND 11 by E.V. Tuktangulova

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Empirical mechanism for the regional brand co-construction: a study of featured agriculture commodities in China by Pei Li, Jianguo Du, Fakhar Shahzad

“…In conclusion, we outlined pathways for the collaborative construction of regional brands for featured agricultural commodities and provided specific countermeasures and suggestions to address the identified problems.…”
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Analysis of Data and Feature Processing on Stroke Prediction using Wide Range Machine Learning Model by Untari Novia Wisesty, Tjokorda Agung Budi Wirayuda, Febryanti Sthevanie, Rita Rismala

“…Then, data sampling techniques are used to handle data imbalance problems in the stroke dataset, which include Random Undersampling, Random Oversampling, and SMOTE techniques. …”
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SFFNet: Shallow Feature Fusion Network Based on Detection Framework for Infrared Small Target Detection by Zhihui Yu, Nian Pan, Jin Zhou

“…However, due to complex backgrounds and the loss of information in deep networks, infrared small target detection remains a difficult undertaking. To solve the above problems, we present a shallow feature fusion network (SFFNet) based on detection framework. …”
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Features of Decision-Making in the Process of lending to small businesses: the bDi Model and trust indices by N. E. Egorova

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Features of feudal-serf relations among the peoples of the Northern Caucasus in the first half of the XIX century by T. Ch. Dzhabaeva

“…The first half of the 19th century is a period when the North Caucasus gradually enters the stream of socio-economic and political development of the Russian Empire.A deep analysis of the features of feudal-serf relations in the North Caucasus is very important and relevant for historical science, since it explains the emergence of problems and contradictions during the period when these regions became part of the Russian Empire, the implementation of peasant reform, the formation of the Russian administration on these lands, and changes in the judicial system.All levels of the Caucasian administration participated in the preparation and process of integration of the North Caucasus into the Russian legal field. …”
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Specific features of the study and maintenance of a potato collection threatened by viruses and virus-like diseases by E. V. Truskinov, M. N. Sitnikov

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GFDet: Multi-Level Feature Fusion Network for Caries Detection Using Dental Endoscope Images by Nan Gao, Yukai Li, Peng Chen, Jijun Tang, Tianshuang Liu

“…However, automatically identifying dental caries remains challenging due to the uncertainty in size, contrast, low saliency, and high interclass similarity of dental caries. To address these problems, we propose the Global Feature Detector (GFDet) that integrates the proposed Feature Selection Pyramid Network (FSPN) and Adaptive Assignment-Balanced Mechanism (AABM). …”
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Remote sensing image semantic segmentation network based on multi-scale feature enhancement fusion by Feiting Wang, Yuan Zhang, Qiongqiong Hu, Yu Zhu

“…MFENet considers the differences between objects of different scales and selects more suitable receptive fields to enhance the extraction of multi-scale semantic features. We propose a composite atrous multi-scale feature fusion (CAMFF) module to enhance the extraction of spatial detail and semantic information of features at different scales. …”
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A Multi-Index Fusion Adaptive Cavitation Feature Extraction for Hydraulic Turbine Cavitation Detection by Yi Wang, Feng Li, Mengge Lv, Tianzhen Wang, Xiaohang Wang

“…A multi-index fusion adaptive cavitation feature extraction and cavitation detection method is proposed to solve the above problems. …”
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Multi-Source Remote Sensing Images Semantic Segmentation Based on Differential Feature Attention Fusion by Di Zhang, Peicheng Yue, Yuhang Yan, Qianqian Niu, Jiaqi Zhao, Huifang Ma

“…In this paper, we propose a multi-source remote sensing semantic segmentation method based on differential feature attention fusion (DFAFNet) to alleviate the problems of difficult multi-source discriminant feature extraction and the poor quality of decoder feature reconstruction. …”
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Technological features of production of copper-based composites reinforced with cast iron granules by means of casting by A. S. Kalinichenko, V. A. Sheinert, V. A. Kalinichenko, A. G. Slutsky

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A Style Transfer Method for Chinese Landscape Painting Based on Detail Feature Extraction and Fusion by Jinghao HU, Guohua GENG, Meijun XIONG, Siyi LI, Yuhe ZHANG

“…The goal of Chinese painting image style transfer is to render a real landscape scene image with Chinese painting artistic features, guided by a style reference, while maintaining the original, realistic scene image content. …”
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The best angle correction of basketball shooting based on the fusion of time series features and dual CNN by Meicai Xiao

“…However, the current method is limited by the variability of the shape base, ignoring dynamic features and visual information, and there are some problems in the process of feature extraction and correction of related actions. …”
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African water body segmentation with cross-layer information separability based feature decoupling transformer by Binghao Liu, Qi Zhao, Chunlei Wang, Meng Li, Hongbo Xie, Lijiang Chen

“…Third, we design an asymmetric cross-layer input-dependent Feature Decoupling Transformer (FDTran), to extract water features from information mixed high-level features, improving water segmentation performance. …”
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Urban Spatiotemporal Event Prediction Using Convolutional Neural Network and Road Feature Fusion Network by Yirui Jiang, Shan Zhao, Hongwei Li, Huijing Wu, Wenjie Zhu

“…In order to solve the above problems, an urban spatiotemporal event prediction method based on a convolutional neural network (CNN) and road feature fusion network (FFN) named CNN-rFFN is proposed in this paper. …”
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Dim and Small Target Detection Based on Local Feature Prior and Tensor Train Nuclear Norm by Anqing Wu, Xiangsuo Fan, Lei Min, Wenlin Qin, Ling Yu

“…When faced with complex scenes containing strong edge contours and noise, there are still more background residuals in the detection results of traditional algorithms, leading to a high false alarm rate. To solve the above problems, we propose an infrared dim and small target detection method that combines local feature prior and tensor train nuclear norm (TTNN). …”
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Mask-SL RCNN: Feature-Enhanced 3D Object Detection Network for Point Clouds by Yuanhong Zhong, Guangxia Yang, Dihang Deng, Panliang Tang, Fan Ren

“…In order to solve the above problems, we propose the Mask-SL RCNN (Mask-Spherical-neighborhood-global-feature-Layer Region-CNN), a feature-enhanced 3D object detection network. …”
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Wind Farm Meteorological Prediction Model Based on Frequency Domain Feature Extraction Fusion Mechanism by Yichen Liao, Ziqi Gao, Xufeng Li

“…Among them, we found that frequency domain features are the key to affecting the above problems. …”
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Relation between Phenomenological Features of Perception and Semantics of Singular Terms in the Context of Taste and Desire Attitudes by M. V. Shkabrova

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