Research on quantitative prediction method of structural fractures in metamorphic rock reservoirs by Qinghong Yang, Qi Cheng, Guanjie Zhang, Xinwu Liao, Ning Shi, Lei Zhang, Xiang Wang, Wenchao Liu, Jingshou Liu

“…This method can provide a reference for the efficient exploration and development of buried hill reservoirs in other areas.…”
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Nonlinear dynamic evolution of a novel normalized time-fractional Burgers equation by Junseok Kim

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Treatment of parry-romberg syndrome and linear scleroderma en coup de sabre, with application of poly-L-lactic acid (PLLA): assessment of clinical response and high-resolution ultr... by Renato Roberto Liberato Rostey, Cristiane Ferreira Rallo de Almeida, Danilo Olavarria D'Aquino, Caio Leal Carvalho

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Matrix Method of Defect Analysis for Structures with Areas of Considerable Stiffness Differences by Monika Mackiewicz, Tadeusz Chyży

“…The explicit formulation of the stiffness matrix enhances computational efficiency, making the approach particularly useful for periodic structures with inclusions, voids, or localized material defects. The results of numerical tests demonstrate that the proposed method provides solutions closely aligned with conventional FEM results while substantially reducing computational costs. …”
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Wavefront Detection and Event Segmentation Method for Partial Discharge Signal Analysis by Francisco de A. Oliveira Nascimento, Rodrigo De A. Coelho, George V. R. Xavier, Pedro D. Alvim, Almir C. Dos Santos Junior, Hugerles S. Silva

“…The proposed methodology enables accurate identification of the first wavefront occurrence and segmentation of the PD event, offering enhanced precision for future studies on PD localization and classification. Experimental results showed substantial improvements in signal-to-noise ratio (SNR), high cross-correlation between the original and denoised signals, and a significant reduction in normalized mean squared error, confirming the robustness of the method under low-SNR conditions.…”
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A Non-Contacted Height Measurement Method in Two-Dimensional Space by Phu Nguyen Trung, Nghien Ba Nguyen, Kien Nguyen Phan, Ha Pham Van, Thao Hoang Van, Thien Nguyen, Amir Gandjbakhche

“…The MediaPipe library identifies and marks joint points on the human body, while the YOLOv8 model facilitates the localization of these points. To determine the actual height of an individual, a multivariate linear regression model was trained using the ratios of distances between the identified joint points. …”
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A Simple Green Method for the Determination of Hydrogen Peroxide and Fe(III)/Fe(II) Species Based on Monitoring the Decolorization Process of Polymethine Dye Using an Optical Immer... by Arina Skok, Yaroslav Bazel, Maksym Fizer

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A Customized Local Energy Trading Approach Using a Comprehensive Set of Performance Indices by Smitali Patnaik, Umit Cali, Maciej A. Noras

“…This paper presents a customized local energy trading approach using a comprehensive set of performance indices (i.e. …”
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multi-objective mathematical model for optimizing the collection and recycling of urban waste under conditions of uncertainty(The subject of study : Karaj city) by Mohsen Bijanpoor, Reza Ehtesham Rasi, Davood Gharakhany

“…<p style="text-align: left;"><span style="font-family: times new roman, times, serif; font-size: 12pt;">In this research, using the double-objective mixed integer linear programming method, an optimal supply chain network for the collection and recycling of urban waste has been presented in terms of source separation and the uncertainty of per capita waste generation by citizens. …”
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Study of the influence of small defects near a singular point in antiplane elasticity by an asymptotic method by Dang Thi Bach Tuyet, Laurence Halpern, Jean-Jacques Marigo

“…In order to study its influence both on the local and global responses of the body, we use a matched asymptotic expansion method. …”
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Associations between previous local health expenditures and COVID-19 mortality outcomes large cities in the united states: results from a forward-selecting linear regression analys... by Matthew R Boyce, John Kraemer, Rebecca Katz

“…Methods Forward-selecting linear regression models were used to examine this relationship. …”
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Numerical Reduced Variable Optimization Methods via Implicit Functional Dependence with Applications by Christopher Gunaseelan Jesudason

“…For (i), both approximate and exact methods are presented, where the single controlling variable k of all the other variables Pk passes through the local stationary point of the least squares metric. …”
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Non-intrusive implementation of a wide variety of Multiscale Finite Element Methods by Biezemans, Rutger A., Le Bris, Claude, Legoll, Frédéric, Lozinski, Alexei

“…Multiscale Finite Element Methods (MsFEMs) are now well-established finite element type approaches dedicated to multiscale problems. …”
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Forecasting Delivery Time of Goods in Supply Chains Using Machine Learning Methods by V. K. Rezvanov, O. M. Romakina, E. V. Zaytseva

“…To process and analyze the information, methods of data cleaning, eliminating multicollinearity, normalization and coding of categorical features were applied. …”
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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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Study of Educational Information Resource Download Quality with Optimal Symmetrical Interval Solution of Fuzzy Relation Inequality in the Format of a System of Differential Equatio... by Lei Zhang

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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

“…Through the background subtraction, the weighted threshold-based segmentation of the target image from the background image, the chaotic search particle swarm optimization algorithm based on image target detection and tracking algorithm for target tracking by mean shift, the abnormal behavior of local linear embedding and detection method based on sparse representation, a comprehensive analysis of the local manifold structure of sample is set. …”
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Design of Iterative Learning Control Method with Global Convergence Property for Nonlinear Systems by Guang-Wei Xu, Cheng Shao, Yu Han

“…We address an iterative learning control (ILC) method for overcoming initial value problem caused by local convergence methods. …”
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A bearing fault diagnosis method based on hybrid artificial intelligence models. by Lijie Sun, Xin Tao, Yanping Lu

“…The process employs Maximum Second-order Cyclostationary Blind Deconvolution (CYCBD) to filter out noise from the vibration signals emitted by bearings; secondly, considering the issue with the conventional Harris Hawks Optimization (HHO) algorithm which tends to prematurely converge to local optima, the differential evolution mutation operator is introduced and the escape energy factor is improved from linear to nonlinear in IHHO; then, a double-layer network model based on DBN-ELM is proposed, to avoid the number of hidden layer nodes of DBN from human experience interference, and IHHO is used to optimize DBN structure, which is denoted as IHHO-DBN-ELM method; with the optimal structure is obtained by using a combined IHHO optimized DBN and ELM; in conclusion, the proposed IHHO-DBN-ELM approach is applied to the bearing fault detection using the Western Reserve University's bearing fault dataset. …”
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A novel method for asynchronous source localisation based on time of arrival measurements by Huijie Zhu, Sheng Liu, Zhiqiang Yao, Moses Chukwuka Okonkwo, Zheng Peng

“…The derived maximum-likelihood estimator cost function with multiple local minimum is non-linear and non-convex. A novel two-step method which can solve the global minimum is proposed. …”
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