Mine Gas Time-Series Data Prediction and Fluctuation Monitoring Method Based on Decomposition-Enhanced Cross-Graph Forecasting and Anomaly Finding. [PDF]
Yuan L.
europepmc +1 more source
Deep Learning Method Based on Multivariate Variational Mode Decomposition for Classification of Epileptic Signals. [PDF]
Zhang S, Liu G, Sun S, Cai J.
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A Multivariate Blaschke-Based Mode Decomposition Approach for Gear Fault Diagnosis. [PDF]
Zheng X, Cheng Z, Cheng J, Yang Y.
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Comparative study of the levonorgestrel intrauterine system and laparoscopic hysterectomy for the treatment of heavy menstrual bleeding in enlarged uteri. [PDF]
Depes DB +6 more
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Development of a novel modeling framework based on weighted kernel extreme learning machine and ridge regression for streamflow forecasting. [PDF]
Samadi-Koucheksaraee A, Chu X.
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A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting. [PDF]
Ahmadianfar I +5 more
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Enhanced forecasting of shipboard electrical power demand using multivariate input and variational mode decomposition with mode selection. [PDF]
Fazzini P +3 more
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Estimation of daily reference evapotranspiration by hybrid singular spectrum analysis-based stochastic gradient boosting. [PDF]
Başakın EE +3 more
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Forecasting water quality indices using generalized ridge model, regularized weighted kernel ridge model, and optimized multivariate variational mode decomposition. [PDF]
Kordani M +3 more
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Filter bank CSP with Riemannian weighting for disability-centric motor imagery brain computer interface. [PDF]
Jihen S +4 more
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