A Novel TLS-Based Fingerprinting Approach That Combines Feature Expansion and Similarity Mapping by Amanda Thomson, Leandros Maglaras, Naghmeh Moradpoor

“…Influence was taken from the chemistry domain, where the problem of high-dimensional similarity in chemical fingerprints is often encountered. …”
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FEATURES OF THE CURRENT STATE OF THE BANKING SECTOR OF THE RUSSIAN FEDERATION AND THE MAIN TRENDS OF ITS DEVELOPMENT by M. R. Efimova, N. V. Kuznetsov, E. A. Dolgikh

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A novel feature extractor based on constrained cross network for detecting sleep state by Chenlei Tian, Fei Song

“…This study explores an improved feature extractor based on the Constrained Cross Network to enhance the accuracy of the sleep-wake binary classification problem. …”
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MTFSR: Multitemporal and Spatial Feature Reconstruction Denoising Network for Remote Sensing Change Detection by YeKai Cui, Peng Duan, Jinjiang Li

“…Meanwhile, a spatial attention mechanism and discrete cosine transform (DCT) are incorporated to further improve the spatial expression and frequency domain perception of the features. Then, multiscale filtering is applied to accurately align the frequency and spatial domains, effectively solving the spatiotemporal feature inconsistency problem. …”
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Cross-Level Adaptive Feature Aggregation Network for Arbitrary-Oriented SAR Ship Detection by Lu Qian, Junyi Hu, Haohao Ren, Jie Lin, Xu Luo, Lin Zou, Yun Zhou

“…Considering the multi-scale nature of ship objects, we then resort to the idea of self-attention to develop a cross-level adaptive feature aggregation (CLAFA) mechanism, which can not only alleviate the semantic gap between cross-level features but also improve the feature representation capabilities of multi-scale ships. …”
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Dual-environment feature fusion-based method for estimating building-scale population distributions by Guangyu Liu, Rui Li, Jing Xia, Zhaohui Liu, Jing Cai, Huayi Wu, Mingjun Peng

“…However, the discontinuity and strong spatial heterogeneity of research units at the building scale make it challenging to fuse multi-source geographic data, which causes significant errors in population estimation. To address this problem, this study proposes a method for population estimation at the building scale based on Dual-Environment Feature Fusion (DEFF). …”
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A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results by Bendiaf Messaoud, Khelifi Hakima, Mohdeb Djamila, Belazzoug Mouhoub, Saifi Abdelhamid

“…As a multiclass classification problem with three classes, each match can have three possible outcomes. …”
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Feature selection and aggregation for antibiotic resistance GWAS in Mycobacterium tuberculosis: a comparative study by Kirill Reshetnikov, Daria Bykova, Daria Bykova, Konstantin Kuleshov, Konstantin Kuleshov, Konstantin Chukreev, Egor Guguchkin, Alexey Neverov, Gennady Fedonin

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Gradient Boosting Feature Selection for Integrated Fault Diagnosis in Series-Compensated Transmission Lines by Rab Nawaz, Abdul Wadood, Khawaja Khalid Mehmood, Syed Basit Ali Bukhari, Hani Albalawi, Aadel Mohammed Alatwi, Muhammad Sajid

“…By optimizing each phase of data processing from feature extraction to model learning, the proposed system effectively addresses fault detection, classification, and localization as a multi-classification problem. …”
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FEATURES OF THE FUNCTIONING OF THE NATIONAL LABOR MARKET IN CONDITIONS OF MILITARY THREAT AND INTERNAL POPULATION DISPLACEMENT by Liudmyla Akimova, Gаlina Urchik

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Features of socio-psychological adaptation of young people with emotional disorders to the conditions of professional education by Olga V. Kalashnikova

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Human infection with an infectious disease agent: analysis of constructive objective features of criminal offences by O. V. Shamsutdinov

“…With a view to confirming the hypothesis that the ineffectiveness of criminal law provisions under Articles 130, 131, 133 of the Criminal Code of Ukraine is due to the shortcomings of their legislative design, the author analyses the definitions used by the legislator to determine the constructive objective features of criminal offences under Articles 130, 131, 133 of the Criminal Code of Ukraine. …”
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Performance Evaluation of Intrusion Detection System using Selected Features and Machine Learning Classifiers by Raja Azlina Raja Mahmood, AmirHossien Abdi, Masnida Hussin

“…Some of the main challenges in developing an effective network-based intrusion detection system (IDS) include analyzing large network traffic volumes and realizing the decision boundaries between normal and abnormal behaviors. Deploying feature selection together with efficient classifiers in the detection system can overcome these problems.  …”
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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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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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