Illumination-adaptative granularity progressive multimodal image fusion method by Chuanyun WANG, Dongdong SUN, Mingqi ZHOU, Tian WANG, Qian GAO, Zhaokui LI

“…This method integrates advanced techniques to ensure robust image fusion that dynamically adapts to different scene characteristics. …”
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The Thermal Modulation of the Bending Wave Bandgap and Waveguide of Phononic Crystal Plates by Zhiqiao Wang, Xiaoyang Zhang, Guohao Chen

“…Based on the finite element method, the modulation of the bending wave bandgap and bending waveguide of locally resonant phononic crystal (PnC) plates via a thermal environment is investigated. …”
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Severity assessment of local ageing defects in cross‐linked polyethylene cables based on the high‐voltage frequency domain spectroscopy non‐linearity and its sensitivity analysis... by Haoyue Wang, Meng Li, Yiyi Zhu, Jinghan He, Chengrong Li, Xiaowei Wang, Maolun Sun

“…Especially, it is more sensitive to changes in the ageing severity. Thus, the local ageing defect severity assessment method based on non‐linearity has been established. …”
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Quantification of Rifaximin in Tablets by Spectrophotometric Method Ecofriendly in Ultraviolet Region by Ana Carolina Kogawa, Hérida Regina Nunes Salgado

“…The method was validated, showing linearity, selectivity, precision, accuracy, and robustness. …”
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Deformation of a locally sealed nonlinearly-deformed basis of RPT-pile of minimum materiality under the predetermined load by V. E. Bykhovtsev, V. S. Smorodin, Y. D. Bondareva

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Weakly hyperbolic equations with time degeneracy in Sobolev spaces by Michael Reissig

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Numerical Determination of a Time-Dependent Boundary Condition for a Pseudoparabolic Equation from Integral Observation by Miglena N. Koleva, Lubin G. Vulkov

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Processing of Polymers Stress Relaxation Curves Using Machine Learning Methods by Anton S. Chepurnenko, Tatiana N. Kondratieva, Ebrahim Al-Wali

“… Currently, one of the topical areas of application of machine learning methods is the prediction of material characteristics. …”
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Atmospheric pCO2 Response to Stimulated Organic Carbon Export: Sensitivity Patterns and Timescales by Mark Holzer, Tim DeVries, Benoît Pasquier

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Convergence of the Euler Method of Stochastic Differential Equations with Piecewise Continuous Arguments by Ling Zhang, Minghui Song

“…Secondly, the Euler approximation solution converge to the analytic solution is given under local Lipschitz condition and the linear growth condition. …”
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A Three-Step Iterative Method for Solving Absolute Value Equations by Jing-Mei Feng, San-Yang Liu

“…In this paper, we transform the problem of solving the absolute value equations (AVEs) Ax−x=b with singular values of A greater than 1 into the problem of finding the root of the system of nonlinear equation and propose a three-step algorithm for solving the system of nonlinear equation. The proposed method has the global linear convergence and the local quadratic convergence. …”
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Fast Fourier Transformation method for computing the permeability of periodic porous media by Nguyen Trung Kien, Nguyen Duy Hung

“…The permeability is determined by solving a linear problem on a unit cell for which we determine the local velocity fields due to a prescribed gradient of pressure. …”
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An Applicable Control-Relevant Method for Nonlinearity Assessment using Gap Metric by Mahdi Ahmadi

“…In this method, nonlinear system is decomposed to a bank of linear systems using gap metric, a smart tool for measuring the distance between two linear systems. …”
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A Modal-Based Substructure Method Applied to Nonlinear Rotordynamic Systems by Helmut J. Holl

“…An efficient semianalytic time-integration method combined with a substructure technique is given, which accounts for nonsymmetric matrices and local nonlinearities. …”
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A Data-Driven Loose Contact Diagnosis Method for Smart Meters by Wenpeng Luan, Yajuan Huang, Bochao Zhao, Hanju Cai, Yang Han, Bo Liu

“…To mitigate these risks through early fault detection, this study proposes a data-driven framework integrating the Local Outlier Factor (LOF) and Multiple Linear Regression (MLR) algorithms. …”
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A High-Precision Method for Evaluating the Similarity of Maritime Vessel Trajectories by Ran Ji, Mengkai Ma, Jian Dong, Sen Wang

“…This is done by analyzing discrepancies between GPS-derived trajectories and actual vessel paths, while identifying critical limitations in existing evaluation methods. To address these challenges, we propose a robust framework that integrates three core innovations: firstly, a linear feature accuracy-constrained resampling method to ensure computational precision under diverse complexity conditions, validated through experimental verification; secondly, a shape feature extraction and transformation protocol designed to maintain consistency across multi-scale and heterogeneous operational scenarios; thirdly, a quantitative similarity evaluation criterion based on extracted shape characteristics, enabling systematic alignment between localized trajectory segments and historical navigation patterns. …”
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Asynchronous time integration while achieving zero interface energy by Radim Dvořák, Radek Kolman, Jan Falta, Michaela Neühauserová

“… This contribution deals with an asynchronous direct time integration of the finite-element model. The proposed method is applied to the phenomenon of wave propagation through an elastic linear continuum. …”
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Life-cycle assessment method for key parts of an electric locomotive body by ZENG Yanjun, JIN Xihong, ZHU Tao, LIU Hongye, ZHANG Huahai

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A Rail Profile Measurement Method Based on Polarization Fusion Imaging by Qiang Han, Xinxin Zhao, Jing Shi, Shengchun Wang, Peng Dai, Ning Wang, Le Wang

“…Evidently, this method avoids data loss in key areas of the rail profile caused by local underexposure, thus significantly enhancing the measurement accuracy. …”
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Exploring the optimal method for quantifying the contribution of driving factors of urban floods by Xi Huang, Linhan Yang, GuiCheng Yang, Jiufeng Li, Luo Liu, Yilun Liu, Xianzhe Tang

“…Through accuracy assessments and environmental considerations, we identify the most suitable methods for this analysis. Our findings include: (1) Random Forest (RF)-based UFS assessment reveals significant spatial heterogeneity, with higher UFS in central-western areas and lower risks in the southeast; (2) the most contributing factors in Shenzhen exhibit non-linear and non-parametric effects on UF, supporting the use of RF; (3) we found substantial spatial heterogeneity in factor contributions, necessitating SHAP analysis to capture local variations and provide tailored management insights. …”
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