Results 231 to 240 of about 34,460 (284)

Enhancing drought forecasting with CNN-TQWT and metaheuristic hybrids: evidence from Norway. [PDF]

Sci Rep
Oruç S, Tuğrul T, Hınıs MA.
europepmc   +1 more source

Fault Feature Extraction of Rolling Bearings Based on Ordered Singular Spectrum Decomposition-Multipoint Optimal Minimum Entropy Deconvolution Adjusted. [PDF]

Entropy (Basel)
Li L, Chen W, Li W, Zhang Y, Liu J, Chen R.   +5 more
europepmc   +1 more source

Empirical Blaschke Mode decomposition: Algorithm and application. [PDF]

PLoS One
Li S, Wu J.
europepmc   +1 more source

VMD-LSTM based water level prediction of aquifer in mining working face. [PDF]

Sci Rep
Zhang G, Jiao B, Ji X, Chen J, Fan M, Zhao L, Zhou G.   +6 more
europepmc   +1 more source

Prediction of Walnut Moisture Content Using Impact Acoustics, Physical Dimensions, and Machine Learning. [PDF]

Foods
Sepehr A, Zaborowicz M, Marinello F, Guerrini L.   +3 more
europepmc   +1 more source

Dual-sensor coherence-driven adaptive denoising (WF-VMD-DDCDO) for underwater target detection. [PDF]

Sci Rep
Qiu H, Yang P, Huang C, Cao D, Zhang L, Han Y, Li S, Liu C, Ouyang J.   +8 more
europepmc   +1 more source

The role of visibility as a predictor of children's location choices in outdoor school grounds across age and gender. [PDF]

Front Psychol
Sak-Acur M, Sailer K.
europepmc   +1 more source

Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM

Sensors, 2022
A rolling bearing fault diagnosis method based on whale gray wolf optimization algorithm-variational mode decomposition-support vector machine (WGWOA-VMD-SVM) was proposed to solve the unclear fault characterization of rolling bearing vibration signal ...
Maohua Xiao
exaly   +2 more sources

Application of the Variational Mode Decomposition (VMD) method to river tides [PDF]

Estuarine, Coastal and Shelf Science, 2021
Tides in fluvial estuaries are distorted by non-stationary river discharge, which makes the analysis of estuarine water levels less accurate when using the conventional tidal analysis method.
Yongping Chen, Shunqi Pan, Haidong Pan   +2 more
exaly   +2 more sources

Coal Thickness Prediction Method Based on VMD and LSTM

Electronics (Switzerland), 2022
The change in coal seam thickness has an important influence on coal mine safety and efficient mining. It is very important to predict coal thickness accurately.
Yaping Huang
exaly   +2 more sources