The Hybrid Model of Multivariate Index Analysis of Current Assets by Alexander Nickolaevich Tsatsulin

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Handwritten Words Image Character Extraction Adaptive Algorithm Based on the Multi-branch Structure by GUO Xiaojing, ZHAO Xiaoyuan, ZOU Songlin

“…Second, features extracted from different layers represent varying dimensions in the feature matrix. …”
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NEW RESERVES OF LABOR PRODUCTIVITY IN RUSSIA by Natalia V. Gromova

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DAGESTAN - A MODEL OF INTERCULTURAL INTERACTION IN A POLYETHNIC REGION by Natalia Aleksandrovna Schitova, Ivan Alekseevich Soloviev, Vitaly Semenovich Belozerov

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A marine ship detection method for super-resolution SAR images based on hierarchical multi-scale Mask R-CNN by Jiancong Fan, Miaoxin Guo, Lei Zhang, Jianjun Liu, Jianjun Liu, Yang Li, Yang Li

“…Secondly, a hierarchical multi-scale Mask R-CNN (HMS-MRCNN) detection method is proposed, which significantly improves the multi-scale maritime ship detection problem through the cross-layer fusion of shallow features (small targets) and deep features (large targets). …”
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Geometric realization of electronic elections based on threshold secret sharing by A. V. Mazurenko, V. A. Stukopin

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A new machine learning approach based on spatial fuzzy data correlation for recognizing sports activities by Xu Pengru, Zhou Junhui, Kausar Nasreen, Lin Chunlei, Lu Qianqian, Ghaderpour Ebrahim, Pamucar Dragan, Zadeh Ardashir M.

“…In both the differentiation and classification instances, the spatiotemporal features of data are extracted and analyzed using support vectors. …”
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MSTCNet: Toward Generalization Improving for Multiframe Infrared Small Target Detection by Ruining Cui, Na Li, Junfu Liu, Huijie Zhao

“…When facing scenarios with complex backgrounds and diverse changes, the generalization performance of the model is insufficient, leading to a decrease in detection accuracy and an increase in false alarms rate. To solve the problems mentioned above, combining the concept of domain generalization (DG) in transfer learning, we propose a multiscale spatio-temporal feature combined network (MSTCNet). …”
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Speech Diagnostics of the Holistic Essence of Personality by Natalia Fomina

“…The article is devoted to the current interdisciplinary problem of determining the characteristics of a language personality (the term of Yu. …”
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Regional aspects of state regulation of the agrarian sector of economy of the Republic of Adygea by A. A. Mokrushin

“…The article reveals the problems of state regulation and support of the agrarian sector of economy of the Republic of Adygea. …”
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DATA PREPARATION METHODS FOR RECOVERING THREE-DIMENSIONAL STRUCTURE OF THE SCENE by Sergey Sergeyevich Taranenko, Oleg Fedorovich Kovalev

“…The problem of data preparation to recover the three-dimensional structure of the scene including points, segments, straight lines, etc., using video obtained from a moving camera around a static scene is considered. …”
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Fault Diagnosis of Switching Power Supplies Using Dynamic Wavelet Packet Transform and Optimized SVM by Jie Xu, Jingjing Zhu, Zhifeng Wang

“…First, an adaptive wavelet packet decomposition mechanism is used to refine the time–frequency feature extraction of the signal to improve the feature differentiation. …”
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Load recognition method based on convolutional neural network and attention mechanism by ZHAO Yitao, LI Zhao, LIU Xinglong, LUO Zhao, WANG Gang, SHEN Xin

“…Non-intrusive load monitoring (NILM) of residential houses is an important research content of the user demand side of smart grids, and the energy consumption analysis and power consumption management of residential loads are key steps in achieving energy conservation, emission reduction, and sustainable development. Aiming at the problems of poor recognition performance of traditional algorithms and difficulty in adapting to the current complex electricity environment, a NILM load recognition method integrating convolutional neural network (CNN)-self-attention mechanism is proposed from the optimization idea of enhancing the feature extraction performance of classification algorithms. …”
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STATISTICS AND RELIGION IN MODERN RUSSIA by Olga A. Mahova, Mikhail V. Karmanov

“…However, for a number of objective reasons, statistical informationon the status and development of religioncauses contradictory assessments. In thisregard features and problems of interactionof statistics and religion in modern societyrepresent keen interest.…”
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Intelligent technology for construction of tutoring integrated expert systems: new aspects by Galina V. Rybina

“…They provide automation of support of all the stages of construction and maintenance of the life cycle of such systems.In the context of basic models, methods, algorithms and tools that implement the conceptual foundations of a problem-oriented methodology, and which are evolutionarily developed and experimentally investigated in the process of constructing various architectures of training integrated expert systems, including webbased ones, some features of the generalized model of intellectual learning and its components are considered (in particular, the competence-based model of the trainee, the adaptive tutoring model, the ontology model of the course /discipline et al.) as well as methods and means of their realization in the current versions of tutoring integrated expert systems.In current versions of tutoring integrated expert systems examples of implementation of typical intelligent tutoring problems are described for the generalized ontology “Intelligent systems and technologies” (individual planning of the method of studying the training course, intelligent analysis of training tasks, intelligent support for decision making).A brief description of the conceptual foundations of the model of the intelligent software environment of the AT-TECHNOLOGY workbench is given and a description of some components of the model is presented with a focus on the basic components – intelligent planner, standard design procedures and reusable components, which provide automated support for the prototyping processes of tutoring integrated expert systems. …”
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Особенности процесса ценообразования инновационных промышленных продуктов

“…In article the role of the prices and process of pricing in the market economy conditions is considered, factors of formation of market price are reflected, features of pricing for an innovative industrial output are revealed, the problem of research and practical use of modern methods of pricingfor an innovative industrial output in the conditions of high complexity and dynamism of economic processes is proved, parametrical methods and models of pricing, a condition and sphere of their application are studied.…”
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Specifics of Project Management of Development and Implementation of DPO Programs in Universities: Role of Educational and Scientific Centers by M. N. Kulapov, P. A. Karasev, M. A. Fateev, J. Słoniec

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CHANNELING: SEARCH OF THE METAANTHROPOLOGIC MEAS-UREMENTS OF MIND BEING IN THE UNIVERSE (based on the World Wide Web) by Anatoly T. Tshedrin

“…Channeling as an object of research, its network of representation – as a matter of methods involve the use of analytical hermeneutics and archaeographic commenting text fractal logic cluster analysis. The main body. The features of channeling as cultural practices aimed at solving the problem of finding meta an-thropological dimensions of existence in the universe of the mind, as an attempt to resolve the contradiction between the theoretical ideas about extraterrestrial civilizations and the lack of empirically observable, the expected signs of their activities. …”
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Heat Resistance and Heat-and-Mass Transfer in Road Pavements by B. M. Khroustalev, . Liu Tingguo, V. D. Akeliev, . Li Zhongyu, H. Yu. Aliakseyeu, V. V. Zankаvich

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Method of joint wavelet thresholding and F-NLM de-noising for high-resolution SAR ship detection by Liang TONG, Dan LIU, Zhongbo PENG, Han ZOU, Lumeng WANG, Chunyu ZHANG

“…ObjectiveAiming at the significant features of high-resolution synthetic aperture radar (SAR) ship targets with multiple scenes, multi-scale and dense arrangements, and the problem of the blurring of target edge details due to coherent noise in the imaging process, a high-resolution SAR ship detection method is proposed with joint wavelet thresholding and fast non-local mean (F-NLM) de-noising. …”
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