VMD‐FBCCA classification method for SSVEP brain–computer interfaces by Ping Tan, Fengsheng Wang, Kaijun Zhou, Yi Shen

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A Robust Tracking Method for Aerial Extended Targets with Space-Based Wideband Radar by Linlin Fang, Yuxin Hu, Lihua Zhong, Lijia Huang

“…First, we extend the observation model of the gamma Gaussian inverse Wishart probability hypothesis density filter to three-dimensional space by incorporating a spherical–radial cubature rule for improved nonlinear filtering. Second, variational Bayesian processing is integrated to enable the joint estimation of the target state and measurement noise parameters, and a recursive process is derived for both Gaussian and Student’s t-distributed measurement noise, enhancing the method’s robustness against noise uncertainty. …”
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Short-Term Power Load Prediction Method Based on VMD and EDE-BiLSTM by Yibo Lai, Qifeng Wang, Gang Chen, Yu Bai, Peiyu Zhao, Xiaojing Liao, Shuang Wu, Changyou Men, Quan Sun

“…Aiming at the diversity and flexibility of electric loads and their inherent nonlinearity and temporality in the context of the new era. A forecasting method is proposed combining Variational Modal Decomposition (VMD) and EDE-BiLSTM. …”
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Aligning the principles and practice of research integrity and research fairness in global health: a mixed-methods study by Sandra Alba, Rutuja Patil, Martijn Wienia, Masja Straetemans, Francis Kombe, Gowri Gopalakrishna, Harry Coleman, Nima Yaghmaei, Joseph Bukulu Sempa, Jake D Mathewson, Hannah Kabelka, Preeti Sohoni

“…Despite extensive academic discussions, empirical data on these aspects, especially in the context of global health, remain limited.Methods To address this gap, we conducted a mixed-methods study focusing on research integrity and fairness. …”
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Investigating Safe and Economic Adjustment of Power Balance in Smart Grids Based on Integration of Renewable Energy by Hongyan Zhang

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Analysis of Beams with a Three-dimensional Random Field of the Modulus of Elasticity Using the Stochastic Finite Element Method by Nguyen Dang Diem, Pham Van Dat, Ta Duy Hien

“…The method employs weighted integration to discretize spatial variations in Young’s modulus and utilizes a perturbation approach for efficient statistical response computation. …”
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Solution of Variavle Delay integral eqiations using Variational approach by Baghdad Science Journal

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Acoustic Response of an Isotropic Beam Under Axially Variable Loads Using Ritz and Rayleigh Integral Methods by Somi Naidu Balireddy, Jeyaraj Pitchaimani, Lenin Babu Mailan Chinnapandi, V.S.N. Reddi Chintapalli

“…Static buckling and free vibration behaviours using shear and normal deformable theorem and Ritz method. However, the forced vibration response is evaluated using modal superposition method and the acoustic radiation characteristics are obtained using Rayleigh integral. …”
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A Subgradient Extragradient Framework Incorporating a Relaxation and Dual Inertial Technique for Variational Inequalities by Habib ur Rehman, Kanokwan Sitthithakerngkiet, Thidaporn Seangwattana

“…The method integrates a dual inertial extrapolation step, a relaxation step, and the subgradient extragradient technique, resulting in faster convergence than existing inertia-based subgradient extragradient methods. …”
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A numerical method for solving ill-posed problems for two-dimensional integral equations of the first kind by Igor Eduardovich Naats, Victoria Igorevna Naats, Roman Andreevich Ryskalenko

“…Propose a method of numerical solution integral equations of the first kind. …”
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Damage localization and rupture with gradient damage models by K. Pham, J.-J. Marigo

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A configuration and scheduling optimization method for integrated energy systems considering massive flexible load resources by Zihao Wang, Shenhua Wang, Hanwen Ni, Junyin Wang, Jun Zhang

“…Introduction: With the increasing demand for energy utilization efficiency and minimization of environmental carbon emissions in industrial parks, optimizing the configuration and scheduling of integrated energy systems has become crucial. This study focuses on integrated energy systems with massive flexible load resources, aiming to maximize energy utilization efficiency while reducing environmental impact.Methods: To model the uncertainties in wind and solar power outputs, we employed three-parameter Weibull distribution models and Beta distribution models. …”
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Study on the displacement and stress variation of frozen curtain during excavation of subway cross passage by Junhao Chen, Zebiao You, Jianlin Wang

“…Understanding the deformation behavior of the frozen curtain during excavation is crucial when employing artificial freezing methods in construction. This study uses indoor frozen soil experiments and numerical simulations to determine the compressive and flexural strengths of the frozen curtain, along with its displacement and stress variation patterns. …”
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Electricity pinch analysis method for flexibility supply-demand matching in power systems by Yaling Mao, Tiejiang Yuan, Xueqin Tian, Yue Teng

“…Leveraging the theoretical framework of pinch technology from process engineering, this paper proposes an Electricity Pinch Analysis (EPA) method for flexibility assessment. First, the net-load profile is decomposed by successive variational mode decomposition (SVMD) optimized with the Red-billed Blue Magpie Optimization (RBMO) algorithm to construct a flexibility demand model. …”
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Crude Oil Futures Price Forecasting Based on Variational and Empirical Mode Decompositions and Transformer Model by Linya Huang, Xite Yang, Yongzeng Lai, Ankang Zou, Jilin Zhang

“…This model integrates a second decomposition and Transformer model-based machine learning method. …”
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Interpretable deep learning method to quantify the impact of extreme temperatures on vegetation productivity in China by Dewei Xie, Zhaopei Zheng, Xin Ding, Lihong Wei, Yu Lan

“…This study innovatively employs deep neural networks (DNN) integrated with SHAP method, integrating nationwide daily meteorological data (2001–2020) and MODIS annual NPP products, to establish the first quantitative causal linkages between extreme temperature events and NPP dynamics across China. …”
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VAE-WACGAN: An Improved Data Augmentation Method Based on VAEGAN for Intrusion Detection by Wuxin Tian, Yanping Shen, Na Guo, Jing Yuan, Yanqing Yang

“…This model extends the Variational Autoencoder Generative Adversarial Network (VAEGAN) by integrating key features from the Auxiliary Classifier Generative Adversarial Network (ACGAN) and the Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP). …”
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Deep multi-modal imaging temperature measurement method for detecting temperature rise in electrical equipment faults by Jinxuan Wen, Jiangjiang Li, Yachao Zhang

“…By applying Bayes theorem and introducing a variational distribution, the method approximates the true posterior. …”
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Integrating sequencing methods with machine learning for antimicrobial susceptibility testing in pediatric infections: current advances and future insights by Zhuan Zou, Zhuan Zou, Fajuan Tang, Fajuan Tang, Lina Qiao, Lina Qiao, Sisi Wang, Sisi Wang, Haiyang Zhang, Haiyang Zhang

“…These inconsistencies may arise from factors such as genetic mutations or variants in resistance genes, differences in the phenotypic expression of resistance, and the influence of environmental conditions on resistance levels, which can lead to variations in the observed resistance patterns. Machine learning (ML) provides a promising solution by integrating large-scale resistance data with sequencing outcomes, enabling more accurate predictions of pathogen drug susceptibility. …”
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DESIGN OF EVACUATION EXITS IN ELLIPTICAL CORRIDOR TYPE BUILDINGS. CALCULATION ALGORITHM FOR WIDE CORRIDORS by Valery G. Shamonin, Alexey V. Golkin, Stanislav A. Zuev, Svetlana Yu. Khatuntseva, Petr A. Leonchuk

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