SVM-RFE Based Feature Selection and Taguchi Parameters Optimization for Multiclass SVM Classifier by Mei-Ling Huang, Yung-Hsiang Hung, W. M. Lee, R. K. Li, Bo-Ru Jiang

“…However, SVM only functions well on two-group classification problems. This study combines feature selection and SVM recursive feature elimination (SVM-RFE) to investigate the classification accuracy of multiclass problems for Dermatology and Zoo databases. …”
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Features of a Systematic Approach to the Prevention of Healthcare-Associated Infections in the Russian Federation and abroad by M. A. Davydova, G. D. Bryukhanova, V. N. Gorodin

“…Differences were noted in approaches to the prevention of HAIs in Russia and abroad, concerning the resource provision of molecular biological monitoring of HAI pathogens, as well as the features of teamwork, targeted communication in medical teams and in explanatory work, as well as the implementation of training programs for relatives to care for patients with HAI. …”
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Psychological and didactic problems of introducing a digital textbook into the educational process of a university by Lyudmila Valerievna Shelekhova, Sultanovna Fatimet Brantova

“…On the basis of the analysis of scientific and methodological literature and the results of empirical research, two main psychological and didactic problems of introducing a digital textbook into the educational process of a university have been identified: 1) it is associated with the consequence of an increase in the degree of direct impact on the mental processes of users of a digital textbook in the course of mastering or fixing educational material by them ; 2) due to the technical features of creating a digital textbook that meets the requirements of teaching aids; the experience of using the digital textbook "Mathematics for Economists" in the educational process in the direction of preparation 38.05.01 and 38.03.02 has been presented; the results of an online survey, a survey, a conversation between students and teachers about the advisability of using a digital textbook in the educational process have been shown. …”
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Territorial Features of the Development of Russia’s Light Industry in the Early 2020s Tatyana A. Balina by T. A. Balina, L. S. Batalova, M. A. Pospishenko

“…Light industry is one of the oldest sectors of the world economy, which has developed rapidly under the influence of industrial revolutions, the introduction of technological innovations, the development of trade, increased competition in consumer goods markets and other factors, which formed special areas of the industry with its centers. Global trends and features of the development of light industry are of interest for spatio-temporal analysis necessary for understanding the problems of domestic production. …”
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FAULT TREE ANALYSIS FEATURES IN INDUSTRIAL SYSTEMS SAFETY ASSESSMENT: A CASE STUDY by Roland Iosif MORARU

“…Fault tree analysis is useful both in designing new products/services or in dealing with identified problems in existing ones. In the quality planning process, the analysis can be used to optimize process features and goals and to design for critical factors and human error. …”
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FEATURES OF THE DEVELOPMENT OF THE OIL AND PIPE INDUSTRY AS OBJECT OF STUDY TO IDENTIFY STRATEGIC GUIDELINES FOR THEIR INTERACTION by A. Borozdin

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MANAGEMENT FEATURES OF THE STATE FUND FOR REGIONAL DEVELOPMENT OF UKRAINE UNDER THE CONDITIONS OF CURRENT CHALLENGES by S. Pukhyr, M. Khmelyarchuk

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Features of the national export control on international transfers of nuclear materials, equipment and technologies in Ukraine by I. E. Anokhin, V. V. Davydovskyy, Institute for Nuclear Research, National Academy of Sciences of Ukraine, Kyiv, Ukraine

“…National export control system of Ukraine is analyzed in the context of the current state of solving problems related to non-proliferation of weapons of mass destruction. …”
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EUROPEAN ORIENTATION OF THE ECONOMY OF UKRAINE: HISTORICAL FEATURES AND CURRENT TRENDS IN THE CONTEXT OF STRATEGIC DECISIONS by I. Novikova

“…The article highlights the historic features and modern trends of European orientation of Ukraine's economy. …”
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Features of context the sustainable development report as a reflection of company policy for ESG-principles by T. A. Goroshnikova

“…The article shows the problems and features of the sustainability reports language as part of the company’s corporate reporting. …”
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Target detection of helicopter electric power inspection based on the feature embedding convolution model. by Dakun Liu, Wei Zhou, Linzhen Zhou, Wen Guan

“…This study aims to improve the helicopter electric power inspection process by using the feature embedding convolution (FEC) model to solve the problems of small scope and poor real-time inspection. …”
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Improved ICP point cloud registration method based on feature point extraction and PCA by Ma Ran

“…The traditional Iterative Closest Point (ICP) method for point cloud registration has problems such as poor real-time performance, susceptibility to local extremum, and low registration accuracy. …”
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Network intrusion detection method based on VAE-CWGAN and fusion of statistical importance of feature by Taotao LIU, Yu FU, Kun WANG, Xueyuan DUAN

“…Considering the problems of traditional intrusion detection methods limited by the class imbalance of datasets and the poor representation of selected features, a detection method based on VAE-CWGAN and fusion of statistical importance of features was proposed.Firstly, data preprocessing was conducted to enhance data quality.Secondly, a VAE-CWGAN model was constructed to generate new samples, addressing the problem of imbalanced datasets, ensuring that the classification model no longer biased towards the majority class.Next, standard deviation, difference of median and mean were used to rank the features and fusion their statistical importance for feature selection, aiming to obtain more representative features, which made the model can better learn data information.Finally, the mixed data set after feature selection was classified through a one-dimensional convolutional neural network.Experimental results show that the proposed method demonstrates good performance advantages on three datasets, namely NSL-KDD, UNSW-NB15, and CIC-IDS-2017.The accuracy rates are 98.95%, 96.24%, and 99.92%, respectively, effectively improving the performance of intrusion detection.…”
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A Graph Laplacian Regularizer from Deep Features for Depth Map Super-Resolution by George Gartzonikas, Evaggelia Tsiligianni, Nikos Deligiannis, Lisimachos P. Kondi

“…The problem is solved with the Alternating Direction Method of Multipliers (ADMM). …”
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Subtelomeric screening in Serbian children with dysmorphic features and unexplained developmental delay/intellectual disabilities by Tatjana Damnjanovic, Vladimir Kostic, Ida Jovanovic, Valerija Dobricic, Tatjana Varljen, Vera Bunjevacki, Ljiljana Lukovic, Biljana Jekic, Vesna Mitic, Nikola Dimitrijevic, Nela Maksimovic, Goran Cuturilo, Ivana Novakovic

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Facial Expression Recognition with Multi-perspective Feature Fusion Under Deep Residual Convolution by GUAN Xiaorui, GAO Lu, SONG Wenbo, LIN Kezheng

“… Aiming at the problems of inaccurate facial expression recognition and large amount of calculation under multi-perspective in real life, a facial expression recognition model MVResNet-FER is proposed, which is based on multi-perspective feature fusion under deep residual convolution.The residual block in ResNet is first improved and the conventional convolutional network is replaced with a depthwise separable network.Second, a CBAM module is added to enhance the extraction of effective features under multi-perspective and the supplementation of shallow feature information. …”
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ScaleFormer architecture for scale invariant human pose estimation with enhanced mixed features by Congying Ge, Wei Fu Qin

“…This paper proposes ScaleFormer, a novel scale-invariant pose estimation framework that effectively addresses multi-scale pose estimation problems by innovatively combining the hierarchical feature extraction capabilities of Swin Transformer with the fine-grained feature enhancement mechanisms of ConvNeXt. …”
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Rethinking feature representation and attention mechanisms in intelligent recognition of leaf pests and diseases in wheat by Yuhan Zhang, Dongsheng Liu

“…To address the above problems and needs, we rethink the feature representation and attention mechanism in intelligent recognition of wheat leaf diseases and pests, and propose a representation and recognition network (RReNet) based on the feature attention mechanism. …”
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Interpretable analysis of transformer winding vibration characteristics: SHAP and multi-classification feature optimization by Yongteng Sun, Hongzhong Ma

“…However, since SHAP tends to overlook the recall of certain states in multi-classification problems, a feature subset optimization scheme is proposed. …”
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<i>MYBPC3</i>-associated cardiomyopathy: features of the course and prospects for specific therapy by D. A. Nefedova, R. P. Myasnikov, O. V. Kulikova, O. M. Drapkina

“…The aim of the article was to describe the role of MYBPC3 gene and the cardiac myosin-binding protein C encoded by it in cardiomyocyte function, to present current literature data on pathogenesis, clinical features and developing strategies for MYBPC3cardiomyopathy treatment, as well as to highlight current problems and directions for future research in this area.…”
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