SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder by Andrea Pollastro, Francesco Isgrò, Roberto Prevete

“…This work introduces a semi-supervised approach for detecting epileptic seizures from electroencephalography data based on a novel deep learning-based method called SincVAE. This method integrates SincNet, designed to learn an ad-hoc array of bandpass filters, as the first layer of a variational autoencoder, potentially eliminating the preprocessing stage where informative frequency bands are identified and isolated. …”
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Enhancing archery-specific physical fitness: A controlled trial on the effects of medicine ball load variations by Ferry Yohannes Wattimena, Hidayat Humaid, Johansyah Lubis, Oktavian Serka Yudha Pratama, Dadan Resmana

“…While general strength training is often applied, research specifically investigating targeted physical conditioning methods—such as medicine ball load variations tailored for archers—is still limited. …”
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Edaphic and meteorological parameters as determinants of radon exhalation and its environmental implication in Peruvian agroecosystems by B. Pérez, L. C. Stieff, R. E. Ponce-Amanca, C. J. Guevara-Pillaca, D. Palacios

“…While studies have examined radon exhalation, few have focused on modeling its behavior in agricultural settings or identifying key environmental and soil parameters that influence its variation. This study addresses this gap by applying Artificial Neural Network (ANN) models and Monte Carlo methods. …”
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Research on the Development of an Inland Lake Bathymetry Estimation Model Based on Multispectral Data by Junzhen Meng, Yunfei Wang, Wenkai Liu, Xiaoquan Yang, Peipei He

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Analysis of Numerical Instability Factors and Geometric Reconstruction in 3D SIMP-Based Topology Optimization Towards Enhanced Manufacturability by Longbao Chen, Ding Zhou

“…This study investigates minimum compliance as the objective function and volume as the constraint, employing the solid isotropic material with penalization method, density filtering, and the method of moving asymptotes. …”
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Enhancing Vocal Performance using Variational Onsager Neural Network and Optimized with Golden Search Optimization Algorithm by Lian Sun

“…In comparative evaluations, the SMATS-AI-VONN-GSOA method demonstrates a significant performance boost, surpassing existing methods like SMATS-AI-CNN, SMATS-AI-DNN, and SMATS-AI-DNN-HSV by 26.78%, 29.55%, and 21.41% in accuracy, respectively.…”
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Improved estimation of forage nitrogen in alpine grassland by integrating Sentinel-2 and SIF data by Yongkang Zhang, Jinlong Gao, Dongmei Zhang, Tiangang Liang, Zhiwei Wang, Xuanfan Zhang, Zhanping Ma, Jinhuan Yang

“…The results indicated that both the Sentinel-2 (V-R2 of 0.68–0.71, CVRMSE of 17.73–18.65%) and SIF data (V-R2 of 0.59–0.73, CVRMSE of 17.05–21.40%) individually yielded relatively accurate estimates of the forage nitrogen. The integrated model constructed using both spectral data types explained 69–74% of the variation in forage nitrogen content, with a CVRMSE ranging from 16.89 to 17.85%, which indicates that the synergy between Sentinel-2 and SIF data can slightly enhance the model’s estimation capability of forage nitrogen content. …”
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A hybrid variational mode decomposition framework for enhanced cardiac output estimation using impedance cardiography by Priya Darshini Kumari, Ksh Milan Singh, Zefree Lazarus Mayaluri, Prabodh Kumar Sahoo, Satyabrata Lenka, Ganapati Panda, Sujeevan Kumar Agir

“…This study introduces a novel three-stage denoising framework integrating Variational Mode Decomposition (VMD), Non-Local Means (NLM), and Discrete Wavelet Transform (DWT) to enhance ICG signal quality for robust CO estimation. …”
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The Determination of Satellite Orbital Decay From POD Data During Geomagnetic Storms by Ruoxi Li, Jiuhou Lei

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Variations in Event‐Bed Thickness‐Frequency Distributions Near Volcanic Islands: Indicators of Varied Geological Processes by Yu‐Chun Chang, José C. F. Kling, Julie C. Schindlbeck‐Belo, Neil C. Mitchell, Kan‐Hsi Hsiung, Toshiya Kanamatsu

“…Beyond stratigraphic characterization, the method shows broader potential for identifying the provenance of volcanic glass shards through geochemical comparisons and for evaluating the statistical compatibility of data sets from neighboring sites, ensuring sufficient sample size for robust integrated analyses.…”
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A Frequency-Shifting Variational Mode Decomposition-Based Approach to MI-EEG Signal Classification for BCIs by Haiqin Xu, Shahzada Ali Hassan, Waseem Haider, Youchao Sun, Xiaojun Yu

“…This study proposes a novel solution through the frequency-shifting variational mode decomposition (FS-VMD) method, which overcomes the limitations of traditional SD techniques by providing better resolution of intrinsic mode functions (IMFs). …”
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Estimation of Sidelobe Level Variations of Phased Codes in Presence of Random Interference for Bistatic Wideband Noise Radar by Ana Vazquez Alejos, Muhammad Dawood, Habeeb Ur-Rahman Mohammed

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Research on the Range of Stiffness Variation in a 2D Biomimetic Spinal Structure Based on Tensegrity Structures by Xiaobo Zhang, Zhongcai Pei, Zhiyong Tang

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Predicting rare drug-drug interaction events with dual-granular structure-adaptive and pair variational representation by Zhonghao Ren, Xiangxiang Zeng, Yizhen Lao, Zhuhong You, Yifan Shang, Quan Zou, Chen Lin

“…Existing computational methods rely heavily on abundant samples, failing to identify rare DDIEs. …”
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Global Semantic Localization from Abstract Ellipse-Ellipsoid Model and Object-Level Instance Topology by Heng Wu, Yanjie Liu, Chao Wang, Yanlong Wei

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MODEL OF AN INTEGRATED ENVIRONMENTAL SAFETY SYSTEM FOR CONSTRUCTION by A. L. Bolsherotov

“…The stability ratio concept (rstab) is introduced, a method for calculating this  ratio is developed to assess the range of the sustainable environment state – the magnitude of the variation in the size of the ecological reserve depending on climatic conditions, time of day, week, year. …”
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BiModalClust: Fused Data and Neighborhood Variation for Advanced K-Means Big Data Clustering by Ravil Mussabayev, Rustam Mussabayev

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Variation in Mechanical Properties of Polymer Composites With Reinforcements From Different Animal Origins—A Comprehensive Review by Ratul Islam Antor, Asfia Mahbuba Bithi, Ayeman Mazdi Nahin

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Climate change and suicide epidemiology: a systematic review and meta-analysis of gender variations in global suicide rates by Dan-Dan Chen, Jin-Heng Tu, Ke-Nan Ling, Xiao-Hong Jin, Hai-Yan Huang

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Microbial succession in representative fermented sausages: driving flavor development and variations across Eastern and Western products by Wanying Song, Wenpeng Zhao, Mohan Li, Xiqing Yue

“…The fermentation process not only extends shelf life but also enhances flavor, texture, and nutritional value, making them integral to many global food cultures. These products can be classified into two categories based on fermentation methods, microorganisms used, and flavor: Western and Eastern. …”
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