Enhancing Fault Diagnosis: A Hybrid Framework Integrating Improved SABO with VMD and Transformer–TELM by Jingzong Yang, Xuefeng Li, Min Mao

“…To address this challenge, this study proposes an intelligent diagnostic method that integrates variational mode decomposition (VMD) optimized by the improved subtraction-average-based optimizer (ISABO) with transformer–twin extreme learning machine (Transformer–TELM) ensemble technology. …”
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Chemical Characteristics of Stack Particulate Matter Emitted from Sintering Process of an Integrated Steel Mill and Resolution of Source Contributors on Boundary PM2.5 by Cheng-Tsung Shao, Yu-Lun Tseng, Chung-Shin Yuan, Wen-Hsi Cheng, Nian-Jie Li, Jia-Yi Zhao

“…Abstract Background This study investigated the chemical characteristics of PM2.5 emitted from the sintering process of an integrated steel mill and assesses the contribution of emission sources to boundary PM2.5. …”
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VMD‐FBCCA classification method for SSVEP brain–computer interfaces by Ping Tan, Fengsheng Wang, Kaijun Zhou, Yi Shen

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Multiple solutions for a singular fractional Kirchhoff problem with variable exponents by Najla Alghamdi, Abdeljabbar Ghanmi

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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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Floristic patterns in the Andes of northern Patagonia’s forests, Argentina: towards integrating ecological responses with expert-based and unsupervised classification methods by Natalia Zoe Joelson, Alois Simon, Friedemann von Lampe, Gabriel Ángel Loguercio, Stefan Zerbe, Christoph Leuschner, Helge Walentowski

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Investigation of Residual Stress Variation in Sequential Butt Welding and Pocket Material Removal Machining Processes Utilizing Pre-Stress Method: A 3D Simulation Approach by Isik Cetintav, Yilmaz Can, Nihat Akkus

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An Integrated Mechanical Fault Diagnosis Framework Using Improved GOOSE-VMD, RobustICA, and CYCBD by Jingzong Yang, Xuefeng Li

“…Addressing the limitations of conventional methods in adaptive parameter optimization and weak feature enhancement, this paper proposes an innovative diagnostic framework integrating Improved Goose optimized Variational Mode Decomposition (IGOOSE-VMD), RobustICA, and CYCBD. …”
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Generalising the Machine Tool Integrated Inverse Multilateration Method for the Ambient Thermal Error Analysis of Large Machine Tools in Industrial Environments by Fernando Egaña, Unai Mutilba, José A. Yagüe-Fabra, B. Ahmed Chekh, Susana Lopez

“…This method integrates an absolute distance measurement device into the machine tool spindle, enabling an automated and robust multilateration scheme without requiring controlled environments, expensive thermal instruments, or specialised artifacts. …”
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LLM-DSK: A Domain-Specific Semantic Knowledge-Guided Ocean Environment Prediction Method Based on Large Language Models by Ning Song, Caichao Lv, Jie Nie, Min Ye, Enyuan Zhao, Jun Ma, Xiong Liu, Zhiqiang Wei

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Integrative analysis of signaling and metabolic pathways, immune infiltration patterns, and machine learning-based diagnostic model construction in major depressive disorder by Lei Tang, Liling Wu, Mengqin Dai, Nian Liu, Lu liu

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Research on Site Selection and Capacity Determination of Electric Vehicle Public Charging Stations by Integrating K-Means++ and Improved RODDPSO by B. Huang, Z. Wang, J. Chen, B. Zhou, Y. Zhu, Y. Liu

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A Rice-Mapping Method with Integrated Automatic Generation of Training Samples and Random Forest Classification Using Google Earth Engine by Yuqing Fan, Debao Yuan, Liuya Zhang, Maochen Zhao, Renxu Yang

“…Therefore, this study proposes a rice mapping method (LR) using Google Earth Engine (GEE), which uses Landsat images and integrates automatic generation of training samples and a machine learning algorithm, with the assistance of phenological methods. …”
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the Solving Partial Differential Equations by using Efficient Hybrid Transform Iterative Method by Ruaa Shawqi Ismael, Ali Al -Fayadh, Saad M. Salman

“…When used to solve KdV , Wave like and  Pseudo – Parabolic equations , the proposed method helps to avoid Problems that frequently arise when determining the Lagrange Multiplier and the difficult integration usedin the variation iteration method , as well as the need to use the transform convolution theorem. …”
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Unequal benefits: the effects of health insurance integration on consumption inequality in rural China by Linlin Han, Linlin Han

“…This study examined how integrating Urban-Rural Residents Medical Insurance (URRMI) affected consumption inequality among rural residents and its underlying mechanisms.MethodsWe analyzed 17,092 observations from the China Family Panel Studies (CFPS) 2012-2018. …”
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An Advection Scheme using Paired Explicit Runge-Kutta Time Integration for Atmospheric Modeling by Zhaoyang SUN, Chungang CHEN, Xingliang LI, Xueshun SHEN

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Slope stability analysis by integration of seismic refraction method and geotechnical soil testing: Case study of landslide in Bulobulo Village, Barru Regency, Indonesia by Dwi Nurfajriana Sam, Muhammad Altin Massinai, Andi Muhamad Pramatadie

“…The factor of safety (FoS) calculated using the limit equilibrium technique established some slopes as being in a critical state and, hence, at risk of landslides. Such integration of methods allows one to make data-driven proposals for landslide prevention and provides a comprehensive comprehension of slope performance.…”
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Benefits of the Global Integration Method (Método de Integração Global - MIG) in functional priorities of parents of Brazilian children and adolescents with autism spectrum disorde... by Amanda Aparecida Alves Cunha Nascimento, Deisiane Oliveira Souto, Thalita Karla Flores Cruz, Arthur Felipe Barroso de Lima, Gabriela Silva Oliveira, Vitor Geraldi Haase

“…Additionally, this study aimed to evaluate changes in parents’ performance and satisfaction with functional priorities after intervention with the Global Integration Method (Métodode Integração Global - MIG). …”
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Meta-learning approach for variational autoencoder hyperparameter tuning by Michele Berti, Matheus Camilo da Silva, Sebastiano Saccani, Sylvio Barbon Junior

“…Synthetic data generation is a promising alternative to traditional data anonymization, with Variational Autoencoders (VAEs) excelling at generating high-quality synthetic tabular datasets. …”
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Online variational Gaussian process for time series data by Weidong Wang, Mian Muhammad Yasir Khalil, Leta Yobsan Bayisa

“…Our method capitalizes on the sophisticated design of the online variational inference framework, ensuring a technically robust derivation and implementation. …”
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