An Improved DGA Feature Clustering-Based Method for Transformer Fault Diagnosis by Yujie Zhang, Jian Feng, Shanyuan Wang

“…In order to solve those problems, this paper uses more features as information sources of power transformer diagnosis based on clustering method. …”
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Features of heterogeneous catalytic transformations of strained carbocyclic compounds of the norbornene series by S. A. Durakov, A. A. Kolobov, V. R. Flid

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Revealing the Importance of Iron Aerogel Features as Electrocatalysts for the Oxygen Reduction Reaction by Judith González-Lavín, Ana Arenillas, Natalia Rey-Raap

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Features and prospects of graduates’ employment of cultural institutes in cooperation with regional authorities by V. V. Matveev, A. A. Annenkova, E. E. Semenova

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FEATURES OF MOUNTED VENTILATED FACADE HEAT CONTROL SYSTEMS IN CONSTRUCTION PROJECTS by D. F. Karpov, M. V. Pavlov, A. A. Sinitsyn, N. N. Monarkin, A. G. Gudkov

“…The aim of the work is to analyse some features and results of thermal control of an opaque hinged ventilated facade system and translucent enclosing structures in the form of window systems of a capital construction project. …”
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Visual Odometry through Appearance- and Feature-Based Method with Omnidirectional Images by David Valiente García, Lorenzo Fernández Rojo, Arturo Gil Aparicio, Luis Payá Castelló, Oscar Reinoso García

“…A visual odometry provides an essential information for trajectory estimation in problems such as Localization and SLAM (Simultaneous Localization and Mapping). …”
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Features of the demography of rural areas of Kuibyshev region during the “Khrushchev thaw” by P.S. Kabytov, M.S. Chirkov

“…The purpose of the work is to study the features of the so-cio-demographic development of rural areas of Kuibyshev region and the factors that influ-enced the birth rate, mortality, family and marriage relations of the peasant population. …”

Pedestrian Re-Identification Based on Fine-Grained Feature Learning and Fusion by Anming Chen, Weiqiang Liu

“…Firstly, the multimodal feature encoder is used to extract the multimodal features from the visual appearance and gait information views, and then fine-grained tokens are learned and denoised from these features. …”
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Investigating feature extraction by SIFT methods for prostate cancer early detection by Shadan Mohammed Jihad, Ali A. Alsaud, Firas H. Almukhtar, Shahab Kareem, Raghad Zuhair Yousif

“…This study, therefore, highlights the potential for use in the early detection of prostate cancer with advanced feature extraction methods, such as SIFT, and points toward a very promising direction of further research on applying computer vision techniques to problems in medical diagnostic applications. …”
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Analysis of the main provisions and features of Darwinism from logical and epistemological positions by E.V. Degtyarev

“…The author’s recommendations regarding the possible direction of further research consist, along with the use of the «Lego principle», in taking into account certain logical-epistemological features and shortcomings of the Darwinian theory revealed in the article and the resulting need to introduce significant changes in the foundations (principles) of studying problems related to the origin and development of life.…”
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Deep Feature-Based Hyperspectral Object Tracking: An Experimental Survey and Outlook by Yuchao Wang, Xu Li, Xinyan Yang, Fuyuan Ge, Baoguo Wei, Lixin Li, Shigang Yue

“…Therefore, it is necessary to conduct a thorough review of current trackers and unresolved problems in the HOT field. In this survey, we systematically classify and conduct a comprehensive analysis of 13 state-of-the-art deep feature-based hyperspectral trackers. …”
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Hormonal and metabolic features of the placental complex in pregnant women-displaced persons by I. A. Zhabchenko, N. H. Korniiets, S. V. Tertychna-Teliuk

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Improved Quaternion Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Image by Xinpeng Wang, Bingo Wing-Kuen Ling, Long Yu, Shaopeng Liu, Jiandong Zhao, Weichao Kuang

“…To solve these problems, first, a QDA method based on stable quaternion cos-sin decomposition (QDASG) is proposed to solve the small sample problem. …”
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Molecular features of renal cell carcinoma: early diagnostics and perspectives for therapy by O. V. Kovaleva, O. R. Nazarova, V. B. Matveev, A. N. Gratchev

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Third Ventricle Width Measurements Based on YOLO and Localized Intensity Features by Xiao Zhou, Ao Wan, Xingang Mou, Hongling Gao, Zheng Xue

“…Meanwhile, a depth separable path aggregation module is used to improve the channel sensitivity of the feature fusion. Secondly, to solve the problem of third ventricle segmentation measurement, a third ventricle segmentation algorithm based on local intensity features is proposed, which realizes automatic segmentation measurement of third ventricle by calculating the local intensity features of the region and localization of the multi-angle projection method. …”
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Causes of intraventricular hemorrhages in extremely premature newborns and features of their early outcomes by V. V. Kocherova, N. G. Popova, V. A. Shcherbak

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Multifocal motor neuropathy: long-term clinical and electrophysiological features of the disease by D. A. Grishina, N. A. Suponeva, T. A. Tumilovich, M. A. Piradov

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CLINICAL PRESENTATION FEATURES IN THE ORAL CAVITY PATIENTS WITH GASTROESOPHAGEAL REFLUX DISEASE by O.P. Kerzyuk, N.M. Rozhko, A.V. Kindrat

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Feature Coding and Graph via Transformer: Different Granularities Classification for Aircraft by Jianghao Rao, Senlin Qin, Zongyan An, Jianlin Zhang, Qiliang Bao, Zhenming Peng

“…On one hand, fine-grained recognition focuses on exploring and studying such problems. On the other hand, aircraft under different sub-categories and granularities put forward higher requirements for feature representation to classify, which led us to rethink the in-depth application of features. …”
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Features оf Hydraulic Fracturing in Sediments with Hard to Recover Reserves by A. G. Kopytov, S. V. Levkovich, N. V. Nazarova, I. A. Kovalev, N. M. Paklinov

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