Features of the winter bread wheat varieties of unified type developed by the Agricultural Research Center “Donskoy” by М. М. Ivanisov, D. M. Marchenko, E. I. Nekrasov

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FEATURES OF WORLD RECOGNIZED PROFESSIONAL CERTIFICATES OF FINANCIERS AND ACCOUNTANTS, THOSE INTEGRATION TO RUSSIAN UNIVERSITIES’ PROGRAMS by S. V. Anureyev

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PCL-RC: a parallel cloud resource load prediction model based on feature optimization by Guoxiu Zhang, Xinyi He, Xiaofeng Wang

“…To address the problem of nonlinear load data feature extraction, a feature extraction optimization method that is based on combining an improved random forest method and complete ensemble empirical modal decomposition with adaptive noise is proposed to realize regular decomposition and feature extraction from fluctuating data. …”
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Features of the course of pregnancy and childbirth after conservative treatment of initial atypical hyperplasia and endometrial cancer by A. V. Charkhifalakyan, O. F. Serova

“…There are not enough works that would analyze and summarize the features that reflect the nature of the course of pregnancy and childbirth, the possibilities of ante- and intrapartum monitoring and the nature of obstetric care, as fundamental factors in the formation of perinatal indicators. …”
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A two-branch multiscale spectral-spatial feature extraction network for hyperspectral image classification by Aamir Ali, Caihong Mu, Zeyu Zhang, Jian Zhu, Yi Liu

“…Then we densely connect series of MSEFE or MSAFE modules respectively in a two-branch framework to balance efficiency and effectiveness, alleviate the vanishing-gradient problem and strengthen the feature propagation. To evaluate the effectiveness of the proposed method, the experimental results were carried out on bench mark HSI datasets, demonstrating that TBMSSN obtained higher classification accuracy compared with several state-of-the-art methods.…”
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A novel similarity-constrained feature selection method for epilepsy detection via EEG signals by Chunlei Shi, Jun Gao, Jian Yu, Lingzhi Zhao, Faxian Jia

“…Then, an optimization problem for feature selection is formulated by enhancing intra-class similarity and reducing inter-class similarity. …”
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Features of mechanical pulse treatment of filters and near-filter zones of in-situ uranium leaching wells by A. G. Ivanov, Yu. A. Arsentiev, D. D. Orekhov, R. I. Gavrilov

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Adaptive Multi-Radar Anti-Bias Track Association Algorithm Based on Reference Topology Features by Shaoming Wei, Xuan Zhou, Jun Wang, Rui Pang, Xueqing Li, Qiang Liu

“…To address the track association problem in multi-radar systems, particularly the challenges posed by offset bias, this paper proposes an adaptive multi-radar anti-bias track association algorithm based on reference topological features (RETs) that achieves accurate association despite offset bias and radar missed detections. …”
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Improved Low-Light Image Feature Matching Algorithm Based on the SuperGlue Net Model by Fengchao Li, Yu Chen, Qunshan Shi, Ge Shi, Hongding Yang, Jiaming Na

“…The SuperGlue algorithm, which integrates deep learning theory with the SuperPoint feature extraction operator and addresses the matching problem using the classical Sinkhorn method, has significantly enhanced matching efficiency and become a prominent research focus. …”
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Approaches to Regulating Relations in the Sphere of Developing and Using the Artificial Intelligence Technologies: Features and Practical Applicability by O. S. Erahtina

“…Objective: to review the modern scientific approaches to regulating relations in the sphere of using the artificial intelligence technologies; to reveal the main features and limitations of using the risk-oriented and technological approaches in order to determine the directions of their further development.Methods: the methodological basis of the research is a set of scientific cognition methods, including the general scientific dialectic method and the universal scientific methods (analysis and synthesis, comparison, summarization, structural-functional, and formal-logical methods).Results: it was determined that the use of the risk-oriented approach implies building constructive models of risk management. …”
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Parametric and nonparametric two-sample tests for feature screening in class comparison: a simulation study by Elena Landoni, Federico Ambrogi, Luigi Mariani, Rosalba Miceli

“…The tests for the general two-sample problem introduce a more general concept of 'differential expression', thus overcoming the limitations of the other tests restricted to specific moments of the feature distributions. …”
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Automatic Registration of Panoramic Images and Point Clouds in Urban Large Scenes Based on Line Features by Panke Zhang, Hao Ma, Liuzhao Wang, Ruofei Zhong, Mengbing Xu, Siyun Chen

“…In order to solve this problem, this paper proposes an automatic and accurate registration method for panoramic images and point clouds of urban large scenes based on line features. …”
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Research and performance analysis of random forest-based feature selection algorithm in sports effectiveness evaluation by Yujiao Li, Yingjie Mu

“…In order to solve the problem of low accuracy in traditional mining methods, the study combines the random forest algorithm with the artificial raindrop algorithm, and adopts a sports data mining method based on feature selection to achieve effective analysis of sports big data. …”
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Edge-Guided Feature Pyramid Networks: An Edge-Guided Model for Enhanced Small Target Detection by Zimeng Liang, Hua Shen

“…The goal is to resolve the problem of missing target information that occurs when Feature Pyramid Networks (FPNs) perform continuous down-sampling to obtain deeper semantic features. …”
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Development of Robot Feature for Stunting Analysis Using Long-Short Term Memory (LSTM) Algorithm by Muhammad Rahadian Abdurrahman, Halim Al Aziz, Farras Adhani Zayn, Muhammad Agus Purnomo, Heru Agus Santoso

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Enhanced Intrusion Detection in In-Vehicle Networks Using Advanced Feature Fusion and Stacking-Enriched Learning by Ali Altalbe

“…This study proposes an accurate and low-complexity IDS for in-vehicle networks based on feature fusion and ensemble learning called the Feature Fusion and Stacking-based IDS (FFS-IDS). …”
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Joint feature representation optimization and anti-occlusion for robust multi-vessel tracking in inland waterways by Shenjie Zou, Jin Liu, Xiliang Zhang, Zhongdai Wu, Jing Liu, Bing Han

“…Finally, a bidirectional feature pyramid network (BiFPN) is utilized to fuse vessel appearance features from different scales, enhancing the capability to learn cross-scale features of vessels to some extent. …”
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Improving distributed systems failure prediction via multi-objective feature selection and deep forest by Zhidan Yuan, Yikai Zhang, Yingqi Yu, Taizhi Lv, Tao Huang

“…Although existing studies have used feature selection methods to address this issue, the optimal number of KPI metrics remains difficult to determine. …”
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The features of the first trimester of pregnancy course in first-time mothers over 40 years old by Т. V. Lescheva

“…Despite the fact that many scientific groups in Ukraine and abroad work to solve this problem, the level of miscarriage is from 5.0 to 10.0%. …”
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Towards Efficient SAR Ship Detection: Multi-Level Feature Fusion and Lightweight Network Design by Wei Xu, Zengyuan Guo, Pingping Huang, Weixian Tan, Zhiqi Gao

“…To further enhance the detection capability, Efficient Feature Learning (EFL) modules are embedded in the neck to improve feature representation. …”
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