RESEARCH ON FAULT DIAGNOSIS METHOD OF OIL VIBRATION BASED ON DS EVIDENCE THEORY AND MULTI-PARAMETER FUSION (MT) by LI Qing, LI ZhaoYang, WANG TianQin, CHEN WeiHua, ZHANG Min, CHEN Bin, NIE JianHong

“…A gearbox fault diagnosis method based on DS evidence theory, which integrates oil and vibration with multiple parameters is proposed. Aiming at the problem that the traditional single vibration signal analysis method is not sensitive to gear wear in the early stage, radial basis function（RBF） neural network is used to establish the classification model of the fusion of vibration time domain features and oil features. …”
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A traffic pattern detection algorithm based on multimodal sensing by Yanjun Qin, Haiyong Luo, Fang Zhao, Zhongliang Zhao, Mengling Jiang

“…This algorithm first extracts various sensory features and semantic features from four types of sensor (i.e. accelerator, gyroscope, magnetometer, and barometer). …”
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From Food Deserts to Food Access. Methodological and Theoretical Considerations for Research in Sparsely Populated Rural European Areas by Ramos-Truchero Guadalupe

“…Although this represents a major problem for the quality of life in rural areas, food access problems have been understudied in Europe. …”
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Partial molar volumes of components of water – aliphatic alcohol mixtures by B. K. Karabekova, A. R. Bazaev

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ӘЛЕУМЕТТІК-КӘСІПКЕРЛІК КОРПОРАЦИЯЛАРДЫҢ ДАМУЫ - ӨҢІРЛІК ЭКОНОМИКАДАҒЫ ЖАҢА ВЕКТОР by M. Zh. Kuttybai

“…Based on the study of foreign experience in creating similar organizations, the advantages and problems of their functioning are determined. The Kazakhstan model of a socio-entrepreneurial corporation is created as a corporation of a non-commercial type, but it is designed to solve the problems of extracting profits and investing in the social and economic development of the regions. …”
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Encoding Coefficient Similarity-Based Multifeature Sparse Representation for Finger Vein Recognition by Lizhen Zhou, Lu Yang, Deqian Fu, Gongping Yang

“…Furthermore, the proposed method is capable of fusing all kinds of features, not limited to specific ones. The optimization problem of the proposed method is efficiently solved using the alternating direction multiplier method algorithm. …”
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A novel scheme based on information theory and transfer learning for multi classes motor imagery decoding by Jaber Parchami, Ghazaleh Sarbishaei

“…Finally, a hybrid deep neural network consisting of CNN and LSTM is used to learn the spatial and temporal features of the EEG signal along with the transfer learning technique to overcome the problem of subject dependence in EEG signals. …”
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Tracking algorithm of Siamese network based on online target classification and adaptive template update by Zhiwang CHEN, Zhongxin ZHANG, Juan SONG, Haipeng LEI, Yong PENG

“…Aiming at the problem that tracking algorithm of Siamese network learned the embedded features of the tracked target and the object in the offline training stage, and these embedded features often lacked the target-specific context information, which made these tracking algorithms less robust, a tracking algorithm of the Siamese network based on online target classification and adaptive template update was proposed, which used SiamRPN++ as the baseline algorithm.Firstly, a cross-correlation feature map supervision module for classification was designed in the offline training phase to learn more discriminative embedded features.Secondly, an online target classification module that included an attention mechanism in the online tracking phase was designed, and the online update filter strategy in the module was used to filter out the background noise.Finally, an adaptive template update module was designed to update the target template information using the UpdateNet.The results of experiments on VOT2018 and VOT2019 datasets verify the effectiveness of the proposed algorithm, which brings 13.5% and 18.2% (EAO) improvement respectively compared with the baseline algorithm SiamRPN++.…”
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Specifics of Theft of State Property in the RSFSR of 1960s-1980s by A. S. Stoletova

“…The question is raised about the features of the socio-economic development of Soviet society. …”
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Formation of knowledge in the field of dental literacy in preschool and school-age children: methodological aspect by R. S. Tsyganok

“…Dental diseases in children are a serious public health problem. At the same time, many of them are preventable through preventive work based on the formation and consolidation of knowledge and skills in oral care in early childhood. …”
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The Cultural Value Validity of Digital Media Art Based on Deep Learning Network Model by Yuan Ruan

“…The enhancement of features and the suppression of irrelevant features realize the evaluation of artistic and cultural value. …”
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Soft label collaborative view consistency enhancement with application to incomplete multi-view clustering. by Jie Zhang, Jiali Tang

“…Firstly, we leverage the encoders of Transformers to construct a soft-label view information interaction module, which fully utilizes soft-labels to enhance view feature embeddings. Secondly, we employ soft labels to collaboratively impute missing features, addressing the incomplete multi-view data problem. …”
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Parametric Model for Coaxial Cavity Filter with Combined KCCA and MLSSVR by Shengbiao Wu, Huaning Li, Xianpeng Chen

“…First, the low-dimensional tuning data is mapped to the high-dimensional feature space by kernel canonical correlation analysis, and the nonlinear feature vectors are fused by the kernel function; second, the multioutput least squares support vector regression algorithm is used for parametric modeling to solve the problems of low accuracy and poor prediction performance; third, the support vector of the parameter model is optimized by the differential evolution whale algorithm (DWA) to improve the convergence and generalization ability of the model in actual tuning. …”
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Home Occupant Archetypes by Marco Antonio ORTIZ SANCHEZ

“…To propose such bespoke environmental features and feedback, occupant archetypes were produced based on the intentions and motivations behind comfort behaviours. …”
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SELF-ESTEEM AS AN INDICATOR OF SELF-AWARENESS IN CHILDREN WITH SPEECH DISORDERS by Aksana N. Yashkova, Svetlana E. Inevatkina, Anastasia A. Antygina, Oksana A. Morozova, Lidia N. Simakova

“…However, despite the existing research contribution to the study of this area, this problem is still relevant due to the insufficient number of works covering the features of self-esteem of preschoolers with different levels of speech development, which leads to the need to study them. …”
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Evaluation of the state of small intestinal microbiota, pro- and anti-inflammatory cytokines, short-chain fatty acids in metabolic dysfunction-associated steatotic liver disease in... by Yu.M. Stepanov, V.I. Didenko, I.A. Klenina, O.M. Tatarchuk, O.P. Petishko, R.M. Kyslova

“…One of the unresolved problems associated with MASLD is the identification of pathogenetic links that affect the risk of rapid progression of the disease and the development of irreversible changes in the liver. …”
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Machine learning approaches to identify neonates and young children at risk for postdischarge mortality in Dar es Salaam, Tanzania and Monrovia, Liberia by Rodrick Kisenge, Todd A. Florin, Cynthia G. Whitney, Michelle Niescierenko, Julia Kamara, Abraham Samma, Evance Godfrey, Chris A. Rees, Readon C. Ideh, Ye-Jeung G. Coleman-Nekar, Hussein K. Manji, Christopher R. Sudfeld, Adrianna L. Westbrook, Claudia R. Morris, Karim P. Manji, Christopher P. Duggan, Rishikesan Kamaleswaran

“…XGBoost, Hist Gradient Boost, and Neural Network models yielded the greatest discriminatory value (area under the receiver operating characteristic curves range: 0.94–0.99) and fewest features, which included six features for neonates and five for young children. …”
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Fine-Grained Recognition of Fidgety-Type Emotions Using Multi-Scale One-Dimensional Residual Siamese Network by Jiu SUN, Junxin ZHU, Jun SHAO

“…Fidgety speech emotion has important research value, and many deep learning models have played a good role in feature modeling in recent years. In this paper, the problem of practical speech emotion is studied, and the improvement is made on fidgety-type emotion using a novel neural network model. …”
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A Novel Electrical Load Forecasting Model for Extreme Weather Events Based on Improved Gated Spiking Neural P Systems and Frequency Enhanced Channel Attention Mechanism by Yuanshuo Guo, Jun Wang, Yan Zhong, Tao Wang, Zeyuan Sui

“…In addition, to address load prediction challenges posed by extreme weather and promote the sustainable development of power systems, the proposed model integrates many models to solve this problem. First, optimized variational mode decomposition (VMD) is used to decompose the load series and the sub-sequences are combined with relevant features, to form the different input sequences of the prediction model. …”
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Overall Layout Method of Frame Structure Plane Based on Generative Adversarial Network by ZHONG Yan, LEI Xin, LONG Danbing, FANG Changjian, KANG Yongjun

“…To address the problem that column features occupy too few pixels in the image, and to help the model learn these features more effectively, the paired feature superposition maps are cropped into four parts to increase the column feature ratio. …”
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