PROBLEMS OF DIGITALIZATION OF THE RUSSIAN INDUSTRY by Y. S. Bogachev, P. V. Trifonov, N. M. Abdikeev

“…The article is devoted to the substantiation of the model of the formation of an industrial development ecosystem based on modern digital technologies in industry.The article deals with the problems of technological sovereignty of the Russian economy. …”
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Microbiological and Epidemiological Features of Mycobacteriosis by I. V. Petrov, T. Kh. Amirova, L. V. Petrova, F. S. Petrova, E. V. Sevastyanova, R. I. Valiev

“…The review provides information on the main aspects of the considered problem: the environmental features and diagnostics of non-tuberculous mycobacteria are determined, the epidemiology of this disease is described, the possibility of the variability of the clinical manifestations of mycobacteriosis, including among immunocompromised patients and the example of infection associated with the provision of medical care. …”
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Features of combat trauma pathogenesis by V.V. Makarov, V.V. Nehoduiko, V.M. Feskov, O.H. Petiunin, K.M. Smolianyk, M.Yu. Syzyi

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FEATURES OF METHODOLOGIES OF THESIS IN MEDICINE by O. V. Osetrova

“…The features of the formation of methodologies for medical research are shown. …”
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HELIPORT PAVEMENT DESIGNING FEATURES by Yao Aijun, Andrii Bieliatynskyi, He Yulin, Sun Jian

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Morphological features of the poultry thymus by S. V. Huralska, N. V. Dyshliuk, S. S. Zaika, H. P. Hryshchuk, L. H. Yevtukh

“…This article reviews the literature on the morphological features of the poultry thymus. Since the preservation of livestock and disease prevention is a constant problem, the issue of poultry care will always remain in the forefront. …”
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GENDER AND AGE FEATURES OF GLAUCOMA by O. V. Makarenk, O. V. Kryvoviaz, S. O. Kryvoviaz

“…Gender features of glaucoma are also contradictory. In European literature the basic idea is that men are more likely to suffer from glaucoma than women. …”
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Epidemiological features of Echinococcosis in Russia by Dr Larisa Ermakova, Ms Maria Chernikova, Dr Tatyana Tverdokhlebova, Professor Sergey Kozlov, Professor Natalia Pshenichnaya, Professor Evgenia Chernikova

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A novel fuzzy vault scheme based on the feature level fusion of fingerprint and face features by Xun LI, Lin YOU, Jiahao LIANG, Chunhui YAN

“…Aiming at the problem that the biometric feature-based fuzzy vault is vulnerable to correlation attack and the loss of key and biometric template,and the authentication performance of fuzzy vault based on single biometric feature is unreliable,a novel fuzzy vault scheme based on the feature level fusion of fingerprint and face features was proposed.This scheme carried out irreversible transformation of fingerprint features and face features,and based on the Diffie-Hellman algorithm,the transformed fingerprints and face features were fused into a template at the feature level.Finally,the fusion template was used to construct the fuzzy vault.By updating the random matrix,the vault could be revoked,which could effectively resist the correlation attacks and achieve reliable authentication.Experimental results show that the proposed scheme improves the reliability of the system and the security of multiple biometric templates.…”
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A novel fuzzy vault scheme based on the feature level fusion of fingerprint and face features by Xun LI, Lin YOU, Jiahao LIANG, Chunhui YAN

“…Aiming at the problem that the biometric feature-based fuzzy vault is vulnerable to correlation attack and the loss of key and biometric template,and the authentication performance of fuzzy vault based on single biometric feature is unreliable,a novel fuzzy vault scheme based on the feature level fusion of fingerprint and face features was proposed.This scheme carried out irreversible transformation of fingerprint features and face features,and based on the Diffie-Hellman algorithm,the transformed fingerprints and face features were fused into a template at the feature level.Finally,the fusion template was used to construct the fuzzy vault.By updating the random matrix,the vault could be revoked,which could effectively resist the correlation attacks and achieve reliable authentication.Experimental results show that the proposed scheme improves the reliability of the system and the security of multiple biometric templates.…”
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Modern theoretical-methodological and economic-legal problems of implementing the concept of sustainable development of tourism and recreation in Ukraine by Ion Dubovich, Alla Anishchenko, Nadia Yurkiv, Yuliia Volkovska, Rostyslav Matsko, Oleh Rozhkovych, Mariana-Nadiia Dubovich, Oksana Pylypiak

Subjects: “…problems of sustainable development of tourism and recreation…”
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A Multi-Path Feature Extraction and Transformer Feature Enhancement DEM Super-Resolution Reconstruction Network by Mingqiang Guo, Feng Xiong, Ying Huang, Zhizheng Zhang, Jiaming Zhang

“…To solve this problem, a DEM SR reconstruction network based on multi-path feature extraction and transformer feature enhancement is proposed in this paper. …”
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A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection by Guanqing Kong, Guanqing Kong, Shuang Ma, Shuang Ma, Wei Zhao, Wei Zhao, Haifeng Wang, Haifeng Wang, Qingxi Fu, Qingxi Fu, Jiuru Wang

“…BackgroundThe methods used to detect epileptic seizures using electroencephalogram (EEG) signals suffer from poor accuracy in feature selection and high redundancy. This problem is addressed through the use of a novel multi-domain feature fusion and selection method (PMPSO).MethodDiscrete Wavelet Transforms (DWT) and Welch are used initially to extract features from different domains, including frequency domain, time-frequency domain, and non-linear domain. …”
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Feature selection algorithm based on XGBoost by Zhanshan LI, Zhaogeng LIU

“…Feature selection in classification has always been an important but difficult problem.This kind of problem requires that feature selection algorithms can not only help classifiers to improve the classification accuracy,but also reduce the redundant features as much as possible.Therefore,in order to solve feature selection in the classification problems better,a new wrapped feature selection algorithm XGBSFS was proposed.The thought process of building trees in XGBoost was used for reference,and the importance of features from three importance metrics was measured to avoid the limitation of single importance metric.Then the improved sequential floating forward selection (ISFFS) was applied to search the feature subset so that it had high quality.Compared with the experimental results of eight datasets in UCI,the proposed algorithm has good performance.…”
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Feature selection algorithm based on XGBoost by Zhanshan LI, Zhaogeng LIU

“…Feature selection in classification has always been an important but difficult problem.This kind of problem requires that feature selection algorithms can not only help classifiers to improve the classification accuracy,but also reduce the redundant features as much as possible.Therefore,in order to solve feature selection in the classification problems better,a new wrapped feature selection algorithm XGBSFS was proposed.The thought process of building trees in XGBoost was used for reference,and the importance of features from three importance metrics was measured to avoid the limitation of single importance metric.Then the improved sequential floating forward selection (ISFFS) was applied to search the feature subset so that it had high quality.Compared with the experimental results of eight datasets in UCI,the proposed algorithm has good performance.…”
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NATURALISTIC DISPERSION OF THE PROBLEM OF SOCIOL COGNITION by Justinas Karosas

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NATURALISTIC DISPERSION OF THE PROBLEM OF SOCIOL COGNITION by Justinas Karosas

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LEGAL PROBLEMS OF STRUGGLE WITH COMPUTER CRIMES by V. M. Bykov, V. N. Tcherkasov

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NATURALISTIC DISPERSION OF THE PROBLEM OF SOCIOL COGNITION by Justinas Karosas

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NATURALISTIC DISPERSION OF THE PROBLEM OF SOCIOL COGNITION by Justinas Karosas

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