Rolling Bearing Fault Diagnosis Based on Optimized VMD Combining Signal Features and Improved CNN by Yingyong Zou, Xingkui Zhang, Wenzhuo Zhao, Tao Liu

“…Aiming at the problem that the vibration signals of rolling bearings in high-speed rail traction motors are often affected by noise when they are in a fault state, which makes it very difficult to extract the fault features during fault diagnosis and causes obstruction in fault classification. …”
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Features of Microbiota in Newborns in Critical Condition at Admission to the Intensive Care Unit of a Specialized Hospital by Yu. S. Aleksandrovich, D. O. Ivanov, E. Yu. Pavlovskaya, K. V. Pshenisnov, A. M. Savicheva, K. V. Shalepo, T. I. Akimenko, D. A. Zemlyanoy

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Anchor-Free Object Detection Algorithm Based on Dual-Angle Multi-Scale Feature Fusion by WANG Xiaoyu, WEI Yuxin, LU Jianyu, YU Yue

“… In response to the problem of insufficient feature extraction and insufficient detection accuracy in the anchor-free frame object detection algorithm CenterNet. …”
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Some features of the development and construction of finite-difference models of rod structures of radio-electronic means by E. A. Danilova, G. V. Tankov, N. K. Yurkov

“…The aim of the study is to build finite-difference models that can be used to test the bending vibrations of a rod under various fastening conditions, solving the problem in the frequency or time domain. Method. The study is based on the application of the finite difference method and the finite element method. …”
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Сomposition and structure features of the Vikulov productive deposits (Krasnoleninsky arch) and their influence on reservoir properties by N. I. Korobova, N. S. Shevchuk, E. E. Karnyushina, R. S. Sautkin, E. A. Krasnova

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Features of the Application of the Detection Algorithm Based on the Background Subtraction Method in the Scanning Optoelectronic Surveillance System by E. I. Mikhnionok, A. V. Khizniak

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A Clustering-Guided Integer Brain Storm Optimizer for Feature Selection in High-Dimensional Data by Jia Yun-Tao, Zhang Wan-Qiu, He Chun-Lin

“…For high-dimensional data with a large number of redundant features, existing feature selection algorithms still have the problem of “curse of dimensionality.” …”
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Application of Permutation Entropy in Feature Extraction for Near-Infrared Spectroscopy Noninvasive Blood Glucose Detection by Xiaoli Li, Chengwei Li

“…Finally, the support vector regression and partial least square regression are used to establish the mathematical model between the characteristic spectral data and glucose concentration, and the results are compared with conventional feature extraction methods. Results show that the proposed new method can extract useful information from near-infrared spectra, effectively solve the problem of characteristic wave band extraction, and improve the analytical accuracy of spectral and model stability.…”
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Preliminary Validation of Multimodal Feature Matching Method for Multi-source DEM Registration in Planetary Scenarios by Y. Zhang, G. Wan, D. Liu, T. Tao, C. Xiao, C. Xiao, Z. Ye, Z. Ye, X. Tong, X. Tong

“…The results of image feature matching experiments demonstrate that the Weighted Structure Saliency Feature (WSSF) method outperforms other existing state-of-the-art multimodal matching methods. …”
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RASN: Using Attention and Sharing Affinity Features to Address Sample Imbalance in Facial Expression Recognition by Jiahong Yang, Zhisheng Lv, Kai Kuang, Sen Yang, Liuming Xiao, Qiang Tang

“…There is a fact that different expressions have affinity features, which makes it possible for the minority classes to benefit from the majority classes in the expression feature extraction process, from which we propose a sharing affinity features module to compensate for the inadequate feature learning of minority classes by sharing affinity features. …”
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Features of application of sensitivity theory for analysis of influence of parametric disturbances on dynamic properties electromechanical converters by N. A. Malev, O. V. Pogoditsky, A. M. Cvetkovich

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Review of Literary Features in the Short Story “Le Fa O Ka E Buela Lengopeng…” by Richard Lephethi Moloele, Gobonamang Eunice Mookapilo

“…The short story typically has certain features that distinguish it from other forms of writing. …”
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Composite Tor traffic features extraction method of webpage in actual network flow based on SDN by Hongping YAN, Qiang ZHOU, Shihao WANG, Wang YAO, Liukun HE, Liangmin WANG

“…Website fingerprinting (WF) methods for Tor webpage traffic are often based on the separated Tor traffic or even the separated Tor webpage traffic.However, distinguishing Tor traffic from the original traffic of the actual network and Tor webpage traffic from the Tor traffic costs amount of computation, which is more difficult than the WF attack itself.According to the current architecture of the Internet and the characteristics of network traffic converging to regional central nodes, the bi-directional statistical feature (BSF) was proposed for distinguishing Tor traffic through the intra-domain global perspective provided by the SDN structure of the central node and the node information disclosed by the Tor network.Furthermore, a hidden feature extraction method for Web traffic based on lifted structure fingerprinting (LSF) was proposed, and a composited Tor-webpage-identification traffic feature (CTTF) was proposed based on BSF and LSF deep features.For solving the problem of traffic training data scarcity, a traffic data augmentation method based on translation was proposed, which made the augmented traffic data as consistent as the Tor traffic data captured in the real working environment.The experimental results show that the identification rate based on CTTF can be improved by about 4% compared with using only the original data features.When there is less training data, the classification accuracy is improved more obvious after using the traffic data augmentation method, and the false positive rate can be effectively reduced.…”
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Research on fault feature enhancement and diagnosis of marine water pump bearing based on BM-MTF by Zhiqiang LIAO, Zhende HUANG, Xuewei SONG, Guanlong LIANG, Baozhu JIA

“…ObjectiveMarine water pump bearings operate in complex environments, and the fault features in the acquired signals are easily submerged by noise, resulting in low fault diagnosis accuracy. …”
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Joint Exploitation of Physical-Layer and Artificial Features for Privacy-Preserving Distributed Source Camera Identification by Hui Tian, Haibao Chen, Yuyan Zhao, Jiawei Zhang

“…In this paper, we propose a novel privacy-preserving distributed source camera identification scheme that jointly exploits both physical-layer fingerprint features and a carefully designed artificial tag. Specifically, we build a hybrid fingerprint model by combining sensor level hardware fingerprints with artificial tag features to characterize the unique identity of the camera in a digital image. …”
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An Intrusion Detection Model Based on Feature Selection and Improved One-Dimensional Convolutional Neural Network by Qingfeng Li, Bo Li, Linzhi Wen

“…The problem of intrusion detection has new solutions, thanks to the widespread use of machine learning in the field of network security, but it still has a few issues at this time. …”
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Research on the performance of the SegFormer model with fusion of edge feature extraction for metal corrosion detection by Bingnan Yan, Conghui Wang, Xiaolong Hao

“…In this paper, a SegFormer metal corrosion detection method based on parallel extraction of edge features is proposed. Firstly, to solve the boundary ambiguity problem of metal corrosion images, an edge-feature extraction module (EEM) is introduced to construct a spatial branch of the network to assist the model in extracting shallow details and edge information from the images. …”
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Research on Feature Extraction Method and Process Optimization of Rolling Bearing Faults Based on Electrostatic Monitoring by Ruochen Liu, Han Yin, Jianzhong Sun, Lanchun Zhang

“…In order to solve this problem, a sparse representation based on cluster-contraction stagewise orthogonal matching pursuit (CcStOMP) is proposed to extract the fault features in the electrostatic signals of rolling bearings. …”
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Features of restoring the mental health of law enforcement officers who participated in the operation of the United Forces by O. S. Kolesnichenko

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Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning by Bruno Matos Porto, Flavio Sanson Fogliatto

“…Abstract Background Emergency department (ED) overcrowding is an important problem in many countries. Accurate predictions of ED patient arrivals can help management to better allocate staff and medical resources. …”
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