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A Frequency-Shifting Variational Mode Decomposition-Based Approach to MI-EEG Signal Classification for BCIs
Published 2025-03-01“…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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MODEL OF AN INTEGRATED ENVIRONMENTAL SAFETY SYSTEM FOR CONSTRUCTION
Published 2021-04-01“…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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286
Internal Benchmarking of Thermal Power Plants оf Electric Power Systems
Published 2020-12-01“…The results of the studies performed using the simulation method made it possible to establish that the smallest correlation occurs between the integral indicator calculated as the arithmetic mean of random variables and the integral indicator calculated as the coefficient of variation of the same random variables. …”
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Global Semantic Localization from Abstract Ellipse-Ellipsoid Model and Object-Level Instance Topology
Published 2024-11-01Get full text
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289
A mutational process signature and genomic alterations associated with outcome and immunogenicity in cancers with brain metastasis
Published 2025-07-01“…CNV analysis indicated that PTEN deletion and DUSP4 deletion were respectively associated with poorer and better outcomes in patients with BM.ConclusionsBy integrating the somatic mutation data of patients with BM, this study identified molecular biomarkers related to outcomes and immunogenicity from three perspectives: mutational process signatures, molecular subtypes, and genomic variations. …”
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290
INTEGRATION OF SVM AND SMOTE-NC FOR CLASSIFICATION OF HEART FAILURE PATIENTS
Published 2023-12-01Get full text
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291
Influence of Modal Decomposition Algorithms on Nonlinear Time Series Machine Learning Prediction Models in Engineering: A Case Study of Subway Tunnel Settlement
Published 2024-11-01“…The settlement values of subway tunnels during the construction period exhibit significant nonlinear and spatial–temporal variation characteristics. To overcome the problems of historical data interference and spatiotemporal characteristics in tunnel settlement prediction models, this paper proposes a tunnel settlement prediction method based on data decomposition, reconstruction, and optimization. …”
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Application of Modified Laplace Variational Iteration Hybrid Approach for Solving Time-Fractional Fourth-Order Parabolic PDEs
Published 2025-01-01“…This approach is essential for specifying the Lagrange multiplier without applying integration or convolution methods via recurrence relations. …”
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294
Exploring implementation of interventions to facilitate integration in fragmented healthcare systems
Published 2025-07-01“…Methods We conducted qualitative semi‐structured interviews via Zoom with faculty and community physicians. …”
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A robust deep learning approach for photovoltaic power forecasting based on feature selection and variational mode decomposition
Published 2025-08-01“… Accurate forecasting of photovoltaic (PV) power is essential for effective grid integration and energy management, particularly in solar-rich regions such as Algeria. …”
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296
Regional Variation in Pregnancy Outcomes amongst Women in Inflammatory Bowel Disease: A Population-Based Cohort Study
Published 2021-01-01“…Geographical variation in preterm delivery, infants SGA, and Cesarean delivery was assessed using age-adjusted odds ratios (aOR) with 95% confidence intervals (CI) comparing women with and without IBD, stratified by Ontario’s 14 health-service regions, known as Local Health Integration Networks (LHINs). …”
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Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm
Published 2025-05-01“…This paper presents an enhanced methodology for modal analysis that combines Adaptive Variational Mode Decomposition (A-VMD) with Prony’s method. …”
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An enhanced deep learning‐based phishing detection mechanism to effectively identify malicious URLs using variational autoencoders
Published 2023-05-01“…In order to effectively identify malicious URLs, an enhanced deep learning‐based phishing detection approach has been proposed by integrating the strength of Variational Autoencoders (VAE) and deep neural networks (DNN). …”
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