Results 131 to 140 of about 34,625 (268)
High Precision Prediction Model of Wind Speed for Underground Mine Tunnel by Using ASTF Net
Energy Science &Engineering, EarlyView.This paper proposes an Adaptive Spectral‐Temporal Fusion Net (ASTF‐Net), which features a novel decomposition‐ensemble framework with adaptive feature fusion. This design deliberately balances spectral and temporal features and effectively boosts prediction accuracy in complex ventilation environments. ABSTRACT An Adaptive Spectral‐Temporal Fusion Net (
Ruo‐Qi Li +4 more
wiley +1 more source
Equine Veterinary Journal, EarlyView.Abstract Background Treatment with the sodium‐glucose co‐transporter 2 (SGLT2) inhibitor canagliflozin in insulin dysregulated (ID) horses has shown promising results in randomised clinical trials. Larger field studies are needed to further evaluate treatment responses and potential adverse effects under real‐world conditions.
Moa Hällbom +3 more
wiley +1 more source
FlexMat, EarlyView.A “gemstone‐necklace” FASCE strategy synthesizes single‐component white polymers (PTF‐Qx) by alternating rigid TADF units with flexible alkyl chains. The non‐doped rigid device achieves a high EQE of 15.66% with stable white emission (CIE: 0.36, 0.46).
Wenhao Zhang +7 more
wiley +1 more source
International Journal of Mathematics and Mathematical SciencesStock price forecasting is complex due to the nonlinear and nonstationary nature of financial time series. This study proposes a hybrid variational mode decomposition (VMD)–generalized autoregressive conditional heteroskedasticity (GARCH)–long short-term
John Kamwele Mutinda +2 more
doaj +1 more source
Variational Mode Decomposition and Deep Learning for Geomagnetic K-Index Prediction
Journal of Applied Informatics and ComputingGeomagnetic K-index characterizes local disturbance intensity on a quasi-logarithmic scale and serves as a critical input for space weather early warning systems. Predicting this index is challenging due to its non-stationary, chaotic nature and severely
Asmadi Djasman +2 more
doaj +1 more source
A Review on Variational Mode Decomposition for Rotating Machinery Diagnosis
MATEC Web of Conferences, 2019 Signal processing method is very important in most diagnosis approach for rotating machinery due to non-linearity, non-stationary and noise signals. Recently, a new adaptive signal decomposition method has been proposed by Dragomiretskiy and Zosso known ...
Isham M. Firdaus +3 more
doaj +1 more source
A VMD-LMS filtering approach for DAS noise suppression
Fiber-optic distributed acoustic sensing (DAS) has rapidly emerged as a groundbreaking technology, offering extensive coverage and exceptional sensitivity.
Juxiang Qiu +4 more
core +1 more source
White and whole wheat flour breads: composition and simultaneous exposure to group B trichothecenes
Journal of the Science of Food and Agriculture, EarlyView.Abstract BACKGROUND The study aimed to determine the profile of group B trichothecenes (TCTBs), to estimate the daily exposure to them and to evaluate the relationship with the composition of different types of sliced wheat bread. A method for simultaneous determination of the TCTBs (deoxynivalenol (DON), 3‐acetyl‐deoxynivalenol, 15‐acetyl ...
Andressa Cunha Lemos +4 more
wiley +1 more source
Fault Diagnosis Method of Bearings Based on SCSSA-VMD-MCKD
To tackle the issue of detecting early, subtle faults in rolling bearings in the presence of noise interference, the SCSSA-VMD-MCKD method is suggested.
Xiancong Wu +3 more
core +1 more source
Urbanization and food transition in the Brazilian Amazon: From wild to domesticated meat
People and Nature, EarlyView.Abstract Urbanization is expected to influence food transitions, resulting in a shift from wild foods to more domesticated foods. Concomitantly, food insecurity and urban demand for natural resources, including wildlife, are expected to increase overall, even when the per capita consumption is expected to decrease.
Willandia A. Chaves +7 more
wiley +1 more source