EXPERIENCE OF FRANCE IN THE TERRITORIAL ORGANIZATION OF HIGHER EDUCATION SYSTEM by E. V. Bolgova, M. V. Kurnikova

“…Territorial conditions determining similar features of the spatial organization, tendencies and problems of development of system of the higher education of France and Russia are revealed. …”
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Safety belt wearing detection for electric aloft work based on EPSA-YOLOv5 by LI Yongfu, CHEN Libin, HUI Junwei, YUAN Runcong, CHAI Haokai

“…This method was based on EPSANet backbone feature extraction network, which reduced the number of parameters in the network while maintaining good feature extraction performance, and speeding up the model recognition speed. …”
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Efficient simulation of plasma physics' time fractional modified Korteweg-de Vries equations. by N S Alharthi

“…By using these methods, the solution to the suggested problem is represented by recurrence relations. The selected issues have series solutions that can be found and have features that more quickly approach the exact results. …”
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Trends in the development of territorial public self-government in the Russian Federation by O. V. Baykova, M. R. Tolstov, E. О. Gromyko

“…The authors of this work consider the most acute problems, both financial and regulatory, that slow the development of the TPSG.   …”
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Some issues of multi-criteria optimization of parameters of complex systems by R. V. Guseynov, M. R. Guseynova, K. A. Alieva

“…Various approaches to the formation of a generalized optimality criterion are analyzed. Their features, advantages and disadvantages are given. The possibility of correcting parametric constraints in problems of improving optimal solutions is pointed out.Conclusion. …”
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Explainable artificial intelligence with fusion-based transfer learning on adverse weather conditions detection using complex data for autonomous vehicles by Khaled Tarmissi, Hanan Abdullah Mengash, Noha Negm, Yahia Said, Ali M. Al-Sharafi

“…Besides, the XAIFTL-AWCDAV model performs feature extraction by fusing three models: EfficientNet, SqueezeNet, and MobileNetv2. …”
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Prediction of microbe-drug associations using a CNN-Bernoulli random forest model by Zihao Song, Qingnuo Li, Jincheng Zhao, Qinggang Bu, Zekang Bian, Jia Qu

“…The model constructs feature vectors for all microbe-drug pairs based on known associations, microbe similarity, and drug similarity. …”
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DINCP: Dual Interaction Network for Digital Bathymetric Model Superresolution via Codebook Priors by Peikun Xiao, Jianping Wu, Shuo Ma, Haoming Jia, Yingjie Wang

“…Instead of directly decoding low-resolution (LR) input to generate HR DBMs, we first pretrain a discrete codebook to capture high-quality terrain features. These features are then used to replace the features extracted from LR DBM through feature matching, ensuring accurate reconstruction. …”
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Target behavior recognition of fully mechanized mining face based on multi-information self-attention by Yi YANG, Yanlei YANG, Tian WANG, Keping WANG

“…In order to address this problem, a multi-information self-attention model and feature fusion mechanism have been developed based on the ResT network architecture. …”
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SwinConvNeXt: a fused deep learning architecture for Real-time garbage image classification by B. Madhavi, Mohan Mahanty, Chia-Chen Lin, B. Omkar Lakshmi Jagan, Hari Mohan Rai, Saurabh Agarwal, Neha Agarwal

“…These limitations generate various challenges in effectively capturing and representing the nuanced features of visually similar objects. To address this problem, we proposed the stacking of an enhanced Swin Transformer, improved ConvNeXt, and a spatial attention mechanism. …”
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GENETIC FACTORS INFLUENCING THE EFFECTIVENESS AND SAFETY OF LONG-TERM ANTICOAGULANT THERAPY by T. V. Burkova, I. A. Goncharova

“…Late postoperative thrombotic and haemorrhagic complications in anticoagulant-treated patients remain one of the key problems of the modern clinical medicine. At present, the most widely used anticoagulant is warfarin, a vitamin K antagonist. …”
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Discrimination of Rock Fracture and Blast Events Based on Signal Complexity and Machine Learning by Zilong Zhou, Ruishan Cheng, Xin Cai, Dan Ma, Chong Jiang

“…First, the permutation entropy values of signals at different scale factors are calculated to reflect complexity of signals and constructed into a feature vector set. Secondly, based on the feature vector set, back-propagation neural network (BPNN) as a means of machine learning is applied to establish a discriminator for rock fracture and blast events. …”
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Encrypted malicious traffic detection based on neural network by Xia Longfei, Zhang Qihao, Wu Xianyun, Zhu Xuetian, Gu Xin, Tian Min

“…A scalable window self-attention mechanism is designed, and the Transfomer neural network model is used to classify feature maps, achieving efficient detection of malicious traffic.Experimental results show that this method performs well in detection accuracy, recall rate, and model robustness, and provides a feasible solution to the problem of malicious behavior detection in encrypted traffic.…”
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An evolutionary algorithm‐based classification method for high‐dimensional imbalanced mixed data with missing information by Yi Liu, Gengsong Li, Qibin Zheng, Guoli Yang, Kun Liu, Wei Qin

“…Multiple feature selection uses a two‐stage strategy to obtain stable relevant features. …”
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Rolling bearing fault identification with acoustic emission signal based on variable-pooling multiscale convolutional neural networks by Yue Zhang, Yang Yu, Zheng Yang, Qiang Liu

“…Abstract This paper propose a new fault identification method based on variable pooling multiscale CNN (VPMCNN), which solves the bearing industrial problem of huge variable features and inherent multiscale characteristics in acoustic emission (AE) signals. …”
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Predicting Financial Distress through Ranking Working Capital Management Components Using Random Forest Algorithm by Pouya Sadeghi, Daryush Farid, Hamid Reza Mirzaei, Abolfazl Dehghani

“…This approach helps to significantly mitigate the overfitting problem.One notable feature of the random forest algorithm is its ability to rank the importance of the input features in determining the trend of the target variables. …”
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Cross-Modal Fake News Detection Method Based on Multi-Level Fusion Without Evidence by Ping He, Hanxue Zhang, Shufu Cao, Yali Wu

“…Although multimodal feature fusion technology in fake news detection can integrate complementary information from different modal data, the semantic inconsistency of multimodal features will lead to feature fusion difficulties. …”
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RUSSIAN ECONOMY FINANCIAL SECTOR ORGANIZATIONS TAXATION PERSPECTIVES by L. Kostina, Y. Shmelev

“…The author determines the main features of the functioning of the financial sector of the economy, highlighting its problems and prospects for development. …”
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Aspects of regulation of results of intellectual activity, created under a state contract by M. V. Osipova

“…The article also discusses the distinctive features of the management of the exclusive rights of the Russian Federation for this type of results of intellectual activity, and touches upon the problems of the execution of government contracts.…”
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Acoustical Boundary Elements: Theory and Virtual Experiments by Rafael PISCOYA, Martin OCHMANN

“…This paper presents an overview of basic concepts, features and difficulties of the boundary element method (BEM) and examples of its application to exterior and interior problems. …”
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