Atalychestvo as a worldview aspect of children's protection in social experience of the Dagestan highlanders: guidelines, categories, values by Gadzhi Magomedkamilovich Guseynov, Razhabat Magomedkamievna Gichibekova, Larisa Kurbanovna Shabanova

“…In our opinion, the investigated problem will help to reveal the features of the social education of children and provide them with social protection in difficult life situations. …”
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A Subjective Expressions Extracting Method for Social Opinion Mining by Mingyong Yin, Haizhou Wang, Xingshu Chen, Hong Yan, Rui Tang

“…Constructing adequate input vector which can encode sufficient information is a challenge of neural network-based approach. To cope with this problem, a novel representation method that combines the different features with word vectors is proposed. …”
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Track line status detection system for subway based on lightweight convolutional network by LIN Jun, YUAN Hao, LIU Yue, KANG Gaoqiang, TONG Hao

“…A high frequency line-scanning camera was used to collect real-time images and a lightweight backbone RegNet was used to extract the deep features of track line images. Then, a BiFPN was added to fuse multi-layer features. …”
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Enhanced Image Processing and Fuzzy Logic Approach for Optimizing Driver Drowsiness Detection by Wasin AlKishri, Abdallah Abualkishik, Mahmood Al-Bahri

“…Driver drowsiness is a severe problem that usually causes traffic accidents, classified as more dangerous. …”
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INTEGRATING ONE OF INTERNAL STRUCTURE OF DISCOURSE CALLED ‘PROCESS’ IN WRITING PROCEDURE TEXT FOR INTERMEDIATE LEVEL by Emilia Widuri

“…There are two important parts that students have to consider in procedure text; the generic structure and the language features. In the language features, the internal structure of “Process” of discourse integrated. …”
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An image and text-based fake news detection with transfer learning. by Esther Irawati Setiawan, Patrick Sutanto, Christian Nathaniel Purwanto, Joan Santoso, F X Ferdinandus, Nemuel Daniel Pah, Mauridhi Hery Purnomo

“…Fake news has emerged as a significant problem in today's information age, threatening the reliability of information sources. …”
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Research on the Uyghur morphological segmentation model with an attention mechanism by Gulinigeer Abudouwaili, Kahaerjing Abiderexiti, Yunfei Shen, Aishan Wumaier

“…As a typical agglutinative language, Uyghur usually uses statistical-based methods in canonical segmentation, which relies on the artificial extraction of features. In surface segmentation, the artificial feature extraction process is avoided by using the neural network. …”
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Poetics of Visual Image in “Caucasian text” by A. S. Griboedov by K. A. Potashova

“…Griboedov and the need to clarify the features of the formation of the poet's artistic method. …”
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Business-Model of the Organization in Economy of Knowledge by S. N. Kukushkin

“…University activity as a business organization has always had certain distinguishing features. These features imply, first of all, that future specialist during the whole period of training acts both as a key resource and a customer and, finally as a value offer. …”
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Automatic Detection of Motorcycle on the Road using Digital Image Processing by sutikno sutikno, Helmie Arif Wibawa, Ragil Saputra

“…One of them is traffic accidents on motorcyclist not wearing helmets. To overcome this problem, several researchers have developed detection system of motorcyclist not wear helmet. …”
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PRE-PROCESSING DATA ON MULTICLASS CLASSIFICATION OF ANEMIA AND IRON DEFICIENCY WITH THE XGBOOST METHOD by Fathu Nurrahman, Hari Wijayanto, Aji Hamim Wigena, Nunung Nurjanah

“…Anemia and iron deficiency are health problems in Indonesia and globally. In Multiclass Classification, data problems often occur, such as missing data, too many variables, and unbalanced data. …”
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Smart grid stability prediction model using two-way attention based hybrid deep learning and MPSO by Umesh Kumar Lilhore, Surjeet Dalal, Magdalena Radulescu, Marinela Barbulescu

“…The proposed hybrid model utilizes a two-way attention method at its encoding and decoding stages, in which an encoding attention layer helps to recognize all the essential features from an input vector, and a decoding attention layer helps to resolve the fixed context vector problem by offering better memory capacity. …”
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A VAN-Based Multi-Scale Cross-Attention Mechanism for Skin Lesion Segmentation Network by Shuang Liu, Zeng Zhuang, Yanfeng Zheng, Simon Kolmanic

“…Although many neural networks based on U-shaped structures and methods, such as skip connections have achieved excellent results in medical image segmentation tasks, the properties of convolutional operations limit their ability to effectively learn local and global features. To address this problem, the Transformer from the field of natural language processing (NLP) was introduced to the image segmentation field. …”
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An automatic acne detection, severity, and assessment framework using generative adversarial network with deep neural network by Umara Khalid, Li Chen, Abdullah Ayub Khan, Faisal Mehmood

“…It poses a serious problem in the domain of biomedical processing and controls. …”
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Smoke Detection Transformer: An Improved Real-Time Detection Transformer Smoke Detection Model for Early Fire Warning by Baoshan Sun, Xin Cheng

“…As one of the important features in the early stage of fires, the detection of smoke can provide a faster early warning of a fire, thus suppressing the spread of the fire in time. …”
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A privacy-enhanced framework with deep learning for botnet detection by Guangli Wu, Xingyue Wang

“…The goal of this framework is to learn a feature extractor. It can hide the private information that the attack model tries to infer from the intermediate anonymity features, while maximally retaining the interactive behavior features contained in the original traffic for botnet detection. …”
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UPE-Net: A Spatial Information Enhanced Network for Ulva Prolifera Extraction From GF-1 WFV Images by Hui Sheng, Manman Jia, Shiqing Wei, Lie Sun, Mingming Xu, Shanwei Liu, Jianhua Wan

“…In order to solve these problems, this article proposes an Ulva prolifera extraction network (UPE-Net) based on the U-Net model with three important modifications. …”
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HEART TRANSPLANTATION IN PATIENTS WITH PREVIOUS OPEN HEART SURGERY by R. Sh. Saitgareev, V. N. Poptsov, V. M. Zakharevich, A. R. Zakiryanov

“…Studies cited in the review may have important clinical applications, because they outline the range of problems and possible solutions in the performance of the HTx in recipients previously operated on open heart. …”
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Major depressive disorder on a neuromorphic continuum by Jiao Li, Zhiliang Long, Gong-Jun Ji, Shaoqiang Han, Yuan Chen, Guanqun Yao, Yong Xu, Kerang Zhang, Yong Zhang, Jingliang Cheng, Kai Wang, Huafu Chen, Wei Liao

“…Biotyping facilitates solving the problems of heterogeneity, by dissecting MDD patients into discrete subgroups. …”
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Optimization of the business process of commercialization of developments for state educational institutions by I. A. Pestunov, G. B. Pestunova, A. A. Poguda

“…The presented research is aimed at identifying the features of the business process of commercialization in public educational institutions in order to find conditions for its optimization. …”
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