Results 111 to 120 of about 31,978 (281)
Energy Science &Engineering, EarlyView.ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei +2 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
Wind power forecasting with a VMD-LSTM-informer hybrid deep learning model
Energy and AIThe integration of wind power systems into power grids poses operational challenges due to the inherent intermittency of wind power generation. Accurate wind power prediction can help mitigate these problems and improve grid reliability.
Qiantong Zheng, Yubao Liu, Tingting Gu
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
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
MtDNA deletion rate in myocardium of VMD patients (mean ± SEM).
, 2014 MtDNA deletion rate in myocardium of VMD patients (mean ± SEM).
Zhi-Quan Liu (680745) +7 more
core +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
Journal of Forecasting, EarlyView.ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +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
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
Journal of Chemical Technology &Biotechnology, EarlyView.Abstract BACKGROUND Water reclamation in the textile industry is essential to reduce environmental impacts associated with high water consumption and pollutant discharge. Among emerging technologies, pervaporation (PV) has gained attention due to its high selectivity and efficiency in contaminant removal. However, there is still a lack of comprehensive
Miriam Albara +3 more
wiley +1 more source