A spatial bearing fault classification method based on improved APSMOTE-WKMFA by CHEN Chao, YANG Chenhao, XU Haosen, WAN Ouying, HAN Liling

“…Aiming at the problem of poor classification performance of a model for a few classes of fault samples in the case of category imbalance, the spatial bearing fault classification method based on an improved affinity propagation synthetic minority oversampling technique-wavelet kernel marginal Fisher analysis （APSMOTE-WKMFA） was proposed.MethodsFirstly, the geodesic distance was used as the similarity metric for the affinity propagation algorithm, and the synthetic minority oversampling technique （SMOTE） was used to generate samples in the filtered subclusters up to the class balance. …”
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Hybrid Method for Oil Price Prediction Based on Feature Selection and XGBOOST-LSTM by Shucheng Lin, Yue Wang, Haocheng Wei, Xiaoyi Wang, Zhong Wang

“…This study introduces a novel hybrid model framework, distinct from the conventional methods, that integrates influencing factors for oil price prediction. …”
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A method based on clustering fast search for bearing performance degradation assessment by ShengWen Zhou, Li Zhang, Xiaoming Yang, Fan Xu, BaiGang Du, RuiPing Luo, Wenhui Zeng

“…The results show that CFS outperforms other clustering methods and models, including root mean square, kurtosis, Shannon entropy, approximate entropy, and permutation entropy, detecting early-stage degradation more precisely.…”
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The global burden of depression attributable to childhood sexual abuse, intimate partner violence, and bullying victimization from 1990 to 2021: an analysis based on the global bur... by Zhuo Liu, Guo Mao

“…This study quantifies trends in depression burden attributable specifically to CSA, IPV, and bullying from 1990 to 2021. Methods We extracted age-standardized rates and disability-adjusted life years (DALYs) attributable to CSA, IPV, and bullying for 204 countries and territories from the GBD 2021 database (1990–2021). …”
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An effective method for the abnormal monitoring of stage performance based on visual sensor network by Fuquan Zhang, Gangyi Ding, Lin Xu, Bo Chen, Zuoyong Li

“…As the traditional monitoring method based on sparse description model to realize abnormal behavior of stage performance did not realize the manifold structure during the performance, the behavior characteristics are sparse, and the decomposition has higher volatility, the recognition accuracy of abnormal behavior is low. …”
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Application of the magnetotelluric method in geothermal exploration in Jianshi county, Hubei province, China by Peng Simeng, Xie Xingbing, Zhang Lianqun, Rao Song, Zhou Lei, Lu Chuyang, Li Yuxi

“…Based on an MT profile in Maotian Township, Jianshi County, this paper processed data from 51 broadband MT measurement points using Fourier transform, Robust estimation, and impedance tensor decomposition techniques. After a detailed analysis of the dimensional characteristics and electrical axes, a 2D electrical structure model from the surface to a depth of 9 km was obtained via topography-based 2D inversion. …”
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Prospective Models of Financial Forecasting of budget Revenues by A. K. Karaev, O. V. Borisova

“…The study used such methods as measuring predictive values and the size of their errors, analyzing and comparing the results obtained using methods and models of machine and deep learning. …”
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Improving Electrical Distance Accuracy for Cable Fault Location Based on the Prony Method by Xiang Ren, Zhiqiang Feng, Kai Zhou, Xueming Zhou, Jianjun Yuan, Yefei Xu, Li Zhang

“…By establishing a frequency-variable coupling model containing the transfer function of the cable with double joint structure, studying the mapping relationship between the cable attenuation constant and the electromagnetic wave velocity, and adopting the Prony estimation method combined with the singular value decomposition noise reduction algorithm to achieve the extraction of the attenuation constant and the decoupling of the segmented wave velocity, thus improving the electrical accuracy of fault location. …”
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Hybrid models of higher education: Features and advantages by Elena Y. Kuznetsova, Olga V. Korableva

“…Within the framework of the study, the authors pay special attention to the advantages and difficulties of the transition to hybrid learning models: through the methods of scientific generalization, deduction and decomposition, both common aspects characteristic of all forms of learning using distance learning technologies and those peculiar only to the hybrid format are revealed. …”
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An improved MP-NMO correction method based on multiparameter fitting and its application by Xiaohui YANG, Pengfei YU, Jiawei ZHANG

“…Additionally, the multiscale scanning of the complex Morlet wavelet was introduced to enhance noise resistance and adaptability to frequency bands. ResultsTheoretical model-based experiments demonstrate that the improved MP-NMO correction method effectively mitigated wavelet stretching under large offsets, yielding amplitude and frequency errors of less than 5%, which decreased by more than 90% compared to those of the conventional MP-NMO correction method (up to 40%). …”
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Unmanned combat concept based on DoDAF research on systematic description method by LI Yuhao, DU Bo, LIU Yuanyi

“…The decomposition modeling method based on typical elements provide reference for the development and deduction verification of combat concepts, mining of combat capability requirements, and design of combat systems.…”
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Application of stochastic methods, wavelet transformations and support vectors for the study of electroencephalogram signals by Veronika V. Tolmanova, Denis A. Andrikov

“…Stochastic methods utilize probabilistic models for modeling random processes and analyzing data statistics. …”
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CEEMDAN-MRAL Transformer Vibration Signal Fault Diagnosis Method Based on FBG by Hong Jiang, Zhichao Wang, Lina Cui, Yihan Zhao

“…The unique MRAL-Net is proposed to extract the spatial features of the signal and analyze the time series dependence of the features to improve the richness of the signal feature scale. This proposed method effectively removes the noise interference. …”
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Underutilized Feature Extraction Methods for Burn Severity Mapping: A Comprehensive Evaluation by Linh Nguyen Van, Giha Lee

“…We applied and compared 13 different FE techniques—including linear and nonlinear methods such as PCA, t-distributed stochastic neighbor embedding (t-SNE), linear discriminant analysis (LDA), Isomap, uniform manifold approximation and projection (UMAP), factor analysis (FA), independent component analysis (ICA), multidimensional scaling (MDS), truncated singular value decomposition (TSVD), non-negative matrix factorization (NMF), locally linear embedding (LLE), spectral embedding (SE), and neighborhood components analysis (NCA). …”
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Homotopy Analysis Transform Method for Solving Systems of Fractional-Order Partial Differential Equations by Fang Wang, Qing Fang, Yanyan Hu

“…Additionally, when the convergence parameter <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>ℏ</mo><mo>=</mo><mo>−</mo><mn>1</mn></mrow></semantics></math></inline-formula>, both the homotopy perturbation method and the Adomian decomposition method emerge as special cases of the proposed method. …”
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Study on Distributed Ultrasonic Detection Method of Two-dimensional Gas Temperature Field by LI Shaozhuang, SHI Youan, LU Xiaokang, CHEN Yu, WEI Dong

“…In addressing issues associated with inverse problems, such as the limitations of least squares and algebraic iterative methods, where the number of discrete points cannot exceed the number of propagation paths and the temperature resolution is low, a two-dimensional temperature field reconstruction algorithm based on logarithmic-quadratic (LQ) functions and singular value decomposition (SVD) was developed for autoclave conditions. …”
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Detection Method of Apple Alternaria Leaf Spot Based on Deep-Semi-NMF by FU Zhuojun, HU Zheng, DENG Yangjun, LONG Chenfeng, ZHU Xinghui

“…A comparative analysis was conducted with several other detection methods, including GRX (Reed-Xiaoli detector), LRX (Local Reed-Xiaoli detector), CRD (Collaborative-Representation-Based Detector), LSMAD (LRaSMD-Based Mahalanobis Distance Detector), and the deep learning model Unet. …”
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Research on Optimal Configuration of Offshore Wind Power Energy Storage Based on Improved Scene Clustering Algorithm by Jingui YI, Ziwei ZHU, Qing XIE

“…Finally, the proposed method and model are analyzed and verified by typical examples. …”
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EFFICIENCY OF WASTEWATER TREATMENT FROM CHLORAMPHENICOL USING Lemna minor by L.A. Sablii

“…The treatment time ranged from 1 to 72 hours. Methods. The chloramphenicol content in the model solutions was determined using high-performance liquid chromatography. …”
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Short-term Load Forecasting Based on DTW K-medoids and VMD Multi-branch Neural Network for Multiple Users by Yufei WANG, Tong DU, Weiguo BIAN, Zhao ZHANG, Huiting LIU, Lijun YANG

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