Features of Plagiarism Checking in a Technical University Considering the Possibilities of Application of Generative Artificial Intelligence by Learners by L. A. Zinchenko, E. V. Rezchikova, E. A. Tarapanova

“…There are various methods that make it possible to easily bypass such a check. This problem has become especially actual in recent years due to the development of information technology. …”
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Features of the formation of vocal and stage skills among students of Chinese universities in the process of learning opera singing by He Chang, Natalya G. Tagiltseva

“…The article attempts to identify the features of opera performance training in bachelor's degree programs in higher educational institutions in China, where the process of formation of vocal and stage skills occupies a central place. …”
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Success and its Relativization: General Remarks on the Fate of Literary Works and their Authors (Specific Features of Czech Literature) by Ivo Pospíšil

“… The author of the present paper deals with the general features of success of literary artefacts on the examples of several Czech authors. …”
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ResNet18 facial feature extraction algorithm improved based on hybrid domain attention mechanism. by Yingying Mei

“…In the research of face recognition technology, the traditional methods usually show poor recognition accuracy and insufficient generalization ability when faced with complex scenes such as lighting changes, posture changes and skin color diversity. To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”
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Clinical features of coronary heart disease in postmenopausal women, depending on the degree of bone mineral density loss by N. S. Mykhailovskaya, I. O. Shevchenko, O. V. Nikituk

“…Coronary artery disease (CAD) is one of the most urgent problems of the modern cardiology. Aim. In order to explore the clinical features of the coronary artery disease, depending on the degree of bone mineral density loss the study included 43 women in postmenopausal period. …”
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DFDA-AD: An Approach with Dual Feature Extraction Architecture and Dual Attention Mechanism for Image Anomaly Detection by Babak Masoudi

“…DFDA-AD consists of dual feature extraction from images by pre-trained DenseNet121 and ResNet50 networks. …”
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Semantic-Syntactic and Communicative-Pragmatic Features of Translation of Sentences with Coordinative Conjunctions from Russian into Korean Language by V. N. Zavyalov, Su. M. Song

“…The article covers the problems of translation of sentences with coordinative conjunctions into Korean. …”
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Deep learning and support vector machine-recursive feature elimination-based network intrusion detection model by YE Qing, ZHANG Yannian, WU Hao

“…However, there are a lot of redundant information and unbalanced distribution problems in network intrusion data, therefore, deep learning and support vector machine-recursive feature elimination-based network intrusion detection model (DLRF) was proposed. …”
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Object detection model design for tiny road surface damage by Chenguang Wu, Min Ye, Hongwei Li, Jiale Zhang

“…Firstly, a backbone applied to road surface damage feature extraction is designed to solve the problems of feature loss and insufficient extraction of tiny damage during feature extraction. …”
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Features and prospects of the Russian civil aircraft industry development under sanctions pressure from Western countries by V. V. Lapushkin

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Cost-sensitive regression learning on small dataset through intra-cluster product favoured feature selection by Fangfang Xu, Huan Zhao, Weihua Zhou, Yun Zhou

“…Massive regression and forecasting tasks are generally cost-sensitive regression learning problems with asymmetric costs between over-prediction and under-prediction. …”
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BA-ELM Gear Fault Diagnosis Method based on Energy Feature of Wavelet Packet Optimal Node by Qin Bo, Liu Yongliang, Wang Jianguo, Qin Yan, Yang Yunzhong

“…In order to solve the problems that gear fault classification model has weak generalization ability,poor accuracy causing by the fault features of gear is difficult to extract and extreme learning machine input weights and threshold of hidden layer nodes randomly selected,a BA- ELM gear fault diagnosis method is puts forward based on energy feature of wavelet packet optimal nodes.First,the gear vibration signals are decomposed by using wavelet packet in this method,the optimal nodes is selected by using the correlation coefficient between each node decomposition signals and original signal,and the energy feature is calculated.Second,the bat algorithm is used to optimize the extreme learning machine input weights and threshold of hidden layer node and the gear fault classification model of BA-ELM is established.Finally,the energy entropy feature vectors of the optimal wavelet packet nodes as the model input is used to identify the different fault states of gear.The experimental results show that,comparing with SVM and ELM fault classification method,the BA-ELM gear fault diagnosis method based on energy feature of wavelet packet optimal nodes has higher classification accuracy and better generalization ability.…”
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Expensive but Worth It: Live Projects in Statistics, Data Science, and Analytics Courses by Christian Ritter, L. Allison Jones-Farmer, Frederick W. Faltin

“…We observe that courses featuring live projects and coaching by experienced faculty have a high career impact, as reported by former participants. …”
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Features of Determining the Cost Indicators Through Forensic Examination During the Legal Proceedings in the Determination of the Amount of Losses by A. V. Shchepot’ev, T. A. Fedorova

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FEATURES OF GENOTYPiNG VARIABILITY OF STRAINS OF BORDETELLA PERTUSSIS ALLOCATED FROM PATIENTS WITH WHOOPING COUGH IN RUSSIA by V. A. Aleshkin, O. Yu. Borisova, N. T. Gadua, I. K. Mazurova

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Global Optical and SAR Image Registration Method Based on Local Distortion Division by Bangjie Li, Dongdong Guan, Yuzhen Xie, Xiaolong Zheng, Zhengsheng Chen, Lefei Pan, Weiheng Zhao, Deliang Xiang

“…This design effectively mitigates the information loss and feature degradation problems caused by pooling operations in conventional convolutional neural networks (CNNs). …”
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Triple Channel Feature Fusion Few-Shot Intent Recognition With Orthogonality Constrained Multi-Head Attention by Di Wu, Yuying Zheng, Peng Cheng

“…Intent recognition in few-shot scenarios is a hot research topic in natural language understanding tasks. Aiming at the problems of insufficient consideration of fine-grained features of the text and insufficient training of features in the process of model fine-tuning, the Triple Channel IntentBERT and Orthogonality Constrained Multi-Head Attention Model (TMH-IntentBERT) is proposed. …”
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ECOLOGICAL AND ECONOMIC EFFICIENCY OF TRADITIONAL AND ALTERNATIVE METHODS OF ELECTRICAL ENERGY PRODUCTION WITH THE FEATURES OF THE ISLAMIC REPUBLIC OF IRAN by M. А. Mehdizadeh, A. S. Kalinichenko, S. A. Laptyonok

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Metabolic status and genetic features of one-carbon metabolism in psoriasis patients during antimetabolite-based therapy by K.V. Misiura, L.V. Roschenyuk, T.V. Tyzhnenko, V.M. Vorontsov, P.P. Ryzhko, N.H. Puzik, T.E. Tkachyk, O.M. Fedota

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The level of some blood serum inflammatory factors in depending on the morphological features of the primary tumor of of cervical cancer by E. V. Kayukova, T. E. Belokrinitskaya, L. F. Sholokhov, P. P. Tereshkov

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