Results 101 to 110 of about 27,611 (242)
Stock 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
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
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
Urban water supply networks are prone to complex noise interference, which significantly degrades the performance of data-driven forecasting models. Conventional denoising techniques, such as standard Variational Mode Decomposition (VMD), often rely on ...
Yujie Shang, Zheng Zhang
doaj +1 more source
Urbanization and food transition in the Brazilian Amazon: From wild to domesticated meat
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
ABSTRACT Objective To review the published literature on prenatal findings of COL2A1‐related SEDC, summarizing reported imaging and molecular variants, and to describe two additional prenatal cases evaluated at a tertiary referral center. Method A narrative review with a systematic search strategy was conducted to analyze prenatal imaging findings ...
López‐Rodríguez Larissa +10 more
wiley +1 more source
In this study, we offer a dual-decomposition hybrid time series forecasting model that combines improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and variational mode decomposition (VMD) with gated recurrent unit (GRU)
Aastha M. Sathe +2 more
doaj +1 more source
ABSTRACT The aggregation of human islet amyloid polypeptide (hIAPP) into cytotoxic oligomers and amyloid fibrils is a hallmark of type 2 diabetes mellitus (T2DM), leading to pancreatic β‐cell dysfunction. In contrast, rat IAPP (rIAPP) is largely non‐amyloidogenic. Osmolytes such as glucose, glycerol, and sorbitol are known to stabilize globular protein
Kiara A. Kidman +3 more
wiley +1 more source
A novel metal‐free g‐C3N4/GO/β‐CD aerogel exhibits a high adsorption capacity of 653.2 mg/g for RhB. The synergistic adsorption‐degradation effect of the aerogel enables the complete elimination of organic dyes. Fixed‐bed and recyclability tests demonstrate its potential for continuous industrial wastewater treatment.
Yuan Yu +8 more
wiley +1 more source
Electrostatic topology is shown to program phase separation and internal organization in thermoresponsive intrinsically disordered protein polymer (IDPP) condensates. By comparing oppositely charged IDPPs with a covalent diblock, chain connectivity is revealed to control charge compensation, dense‐phase micropolarity, miscibility, and apparent acid ...
Julio Fernández‐Fernández +6 more
wiley +1 more source
Prediction of significant wave height using a VMD-LSTM-rolling model in the South Sea of China
Accurate prediction of significant wave height is crucial for ocean engineering. Traditional time series prediction models fail to achieve satisfactory results due to the non-stationarity of significant wave height.
Tong Ding +5 more
doaj +1 more source

