EBDet: Ellipse Feature Encode and Balanced Decoupling Label Assignment for Arbitrary-Oriented Ship Detection in Optical Remote Sensing Images by Tianqi Zhao, Yunhan Sun, Jin Qian, Zheng Li, Yunxiao Gao, Zhikang Zhao, Yongcheng Wang

“…The dynamic decoupling label assignment (DDLA) strategy adaptively evaluates the sample space sensitivity, and mitigates the feature misalignment problem by decoupling positive samples in classification and regression. …”
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Experimental Study of Trajectory Features for the Recognition of Low-Flying Low-Speed Radar Targets Using Passive Coherent Radar Systems by V. L. Dao, A. A. Konovalov, M. H. Le

“…In a search for new solutions to the problem of recognizing small UAVs, trajectory features can be used.Aim. …”
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THE RESULTS OF EPIDEMIOLOGICAL STUDY OF NUTRITION CHARACTER AND SPECIAL FEATURES OF 6–36 MONTHS OLD CHILDREN IN RUSSIAN FEDERATION. PART I by A. V. Surzhik, T. E. Borovik, I. N. Zakharova, L. S. Namazova-Baranova, V. A. Skvortsova, O. L. Lukoyanova, N. G. Zvonkova

“…Nutrition of children of the second and third years of life is a topical problem nowadays. The significance of this age period for the health level formation is very high. …”
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Research on Arc Fault Detection Based on Conditional Batch Normalization Convolutional Neural Network with Cost-Sensitive Multi-Feature Extraction by Xin Ning, Tianli Ding, Hongwei Zhu

“…Although existing studies have made progress in improving the accuracy of their detection, most methods have not proposed effective solutions that address the cost-sensitive problem of feature selection. Thus, a multi-feature method is proposed by combining time-domain, frequency-domain, energy, and spatial features, which are integrated into a CBN (conditional batch normalization) convolutional neural network for detection. …”
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Rore: robust and efficient antioxidant protein classification via a novel dimensionality reduction strategy based on learning of fewer features by Chaolu Meng, Yongqi Hou, Quan Zou, Lei Shi, Xi Su, Ying Ju

“…This approach significantly preserves the original information and overcomes the information loss problem associated with previous feature selection. …”
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Features of the Information Space of the Chechen Republic, Interaction of the Press Services of State Bodies and the Media: A New Concept of Value Orientation by A. Yu. Evseev

“…The features of the media environment of the North Caucasus are analyzed, the role of press services in the formation of the media image of state bodies is studied from this position. …”
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A model of feature extraction for well logging data based on graph regularized non-negative matrix factorization with optimal estimation by Kehong Yuan, Youlin Shang, Haixiang Guo, Yongsheng Dong, Zhonghua Liu

“…To solve this problem, we propose a feature extraction method named graph regularized non-negative matrix factorization with optimal estimation (GNMF-OE) according to the characteristics of well logging data in this paper. …”
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Features of the functioning of past tense verbs in «Notes of a Young Doctor» by M.A. Bulgakov (based on the story «Egyptian Darkness») by I.V. Vasilyeva, A.A. Matigorova

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GP-GCN: Global features of orthogonal projection and local dependency fused graph convolutional networks for aspect-level sentiment classification by Subo Wei, Guangli Zhu, Zhengyan Sun, Xiaoqing Li, TienHsiung Weng

“…To solve this problem, a new method is proposed, named GP-GCN. In our proposed method, the global feature is further simplified to reduce the noise . …”
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Wind speed prediction for trains on bridges using enhanced variational mode decomposition assisted feature extraction and physical auxiliary mechanism by Zhilan Zhu, Yuan Jiang, Haicui Wang, Shuoyu Liu

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A Yarn Quality Prediction Method Based on M-ESTIMATOR Robust Broad Learning System With Tightly Cascaded Feature Layers by Baowei Zhang, Zhilin Guo, Yonghua Wang

“…Aiming at the problem that multilayer neural networks rely on large datasets and broad learning system (BLS) cannot cope well with outliers in data of yarn production, which leads to low accuracy and stability when used for predicting yarn quality, we propose a robust broad learning system with the ability to resist the interference of outliers and optimize its ability to extract features. …”
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LANGUAGE FEATURES OF THE ORGANIZATION OF THE POLAR MODEL OF THE WORLD IN N. V. GOGOL'S STORIES "THE ENCHANTED PLACE" AND "EVENING ON THE EVE OF IVAN KUPALA" by S. Krasnokutskaya, V. Khodus

“…The article is devoted to the problem of studying the category of text space, which is relevant for modern linguistics. …”
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Features of military reform in the process of administrative and political construction in the Circassian aul societies of the Kuban region (the case of the aul of Khakurinokhabl,... by Ruslan Sultanovich Kandor

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What are the features of high-performing quality improvement collaboratives? A qualitative case study of a state-wide collaboratives programme by Mary Dixon-Woods, Justin B Dimick, Graham P Martin, Michael J Englesbe, James G McGowan, Greta L Krapohl, Darrell A Campbell

“…Lack of clarity about ‘what good looks like’ in collaboratives remains a persistent problem. We aimed to identify the distinctive features of a state-wide collaboratives programme that has demonstrated sustained improvements in quality of care in a range of clinical specialties over a long period.Design Qualitative case study involving interviews with purposively sampled participants, observations and analysis of documents.Setting The Michigan Collaborative Quality Initiatives programme.Participants 38 participants, including clinicians and managers from 10 collaboratives, and staff from the University of Michigan and Blue Cross Blue Shield of Michigan.Results We identified five features that characterised success in the collaboratives programme: learning from positive deviance; high-quality coordination; high-quality measurement and comparative performance feedback; careful use of motivational levers; and mobilising professional leadership and building community. …”
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Research on Region Noise Reduction and Feature Analysis of Total Focus Method Ultrasound Image Based on Branch Pipe Fillet Weld by Yuqin Wang, Yong Li, Yangguang Bu, Shaohua Dong, Haotian Wei, Jingwei Cheng

“…The full matrix acquisition (FMC) and total focus method (TFM) ultrasonic detection technology are used for detection and defect image feature analysis. Firstly, a multi-mode, fully focused real-time imaging software system was developed to address the specificity of the detection object; secondly, a phased array detection system based on 64 elements was constructed; finally, a region wavelet denoising method based on TFM images was proposed to solve the problem of artifacts caused by poor coupling; and based on the feature extraction method for a minimum rectangle, we analyzed the size, position, angle, and other information regarding defects. …”
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Evolving Many-Objective Job Shop Scheduling Dispatching Rules via Genetic Programming With Adaptive Search Based on the Frequency of Features by Atiya Masood, Mansoor Ebrahim, Fahad Najeeb, Syed Muhammad Daniyal

“…The proposed algorithm, Adaptive Feature Selection-GP-NSGA-III (AFS-GP-NSGA-III), is compared with the FS-GP-NSGA-III and standard GP-NSGA-III on a four-objective JSS problem. …”
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TFF-Net: A Feature Fusion Graph Neural Network-Based Vehicle Type Recognition Approach for Low-Light Conditions by Huizhi Xu, Wenting Tan, Yamei Li, Yue Tian

“…TFF-Net also includes dynamic feature weighting and label smoothing techniques for solving the category imbalance problem. …”
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A Fast Recognition Method for Space Targets in ISAR Images Based on Local and Global Structural Fusion Features with Lower Dimensions by Hong Yang, Yasheng Zhang, Wenzhe Ding

“…The proposed method provides a fast and effective high-precision model for space target feature extraction, which can give some references for solving the problem of space object efficient identification under the condition of small sample data.…”
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FERA-Net: A Novel Algorithm for Mars Water-Ice Cloud Segmentation Integrating Feature Enhancement, Residual, and Attention Mechanisms by Xu Ma, Jialong Lai, Zhicheng Zhong, Feifei Cui

“…The SC, incorporating spatial attention blocks (SAB) and channel attention blocks (CAB), along with the AG, improves the model's ability to capture key features. The R2CBL, through double convolution operations and residual connections, addresses the gradient vanishing problem and enhances feature extraction. …”
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Сlinical features of changes in the microcirculation system among children with allergic rhinitis, depending on the severity of dysfunction of the autonomic nervous system by N. S. Tataurschikova, P. V. Berezhansky

“…Allergic rhinitis is a serious medical, social and economic problem. In addition, allergic rhinitis, especially with multiple sensitization and insufficiently controlled course, is an independent risk factor for recurrence of respiratory infections and the development of bronchial asthma, and also significantly reduces the quality of life patients.AR is a multifactorial disease in the development of which many factors play a role. …”
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