Results 201 to 210 of about 155,072 (308)
Synchrotron radiation based analyzer-free dual-phase dark-field lung imaging approach for radiography and CT. [PDF]
Spindler S +16 more
europepmc +1 more source
Forecasts peak electricity demand in Jordan for grid expansion over the next decade. Introduces a comparative method combining ARIMA, ARIMA‐X, and regression models. Projections show a 41% peak load increase by 2035, reaching around 5300 MW. The findings support capacity planning, pricing strategies, and network expansion.
Rafat Aljarrah +5 more
wiley +1 more source
Speckle-Based Maximum Density Theory for Micro- and Nanoparticle Characterization via Dynamic Light Scattering. [PDF]
Silva TM +6 more
europepmc +1 more source
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source
BLDC motor's speed and torque modelling through hybrid machine learning based approach of nonlinear autoregressive neural network with exogenous inputs (NARX-NN). [PDF]
Khan MA, Ali H, Baig DE, Albogamy FR.
europepmc +1 more source
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Hyphenation of Trapped Ion Mobility to Two-Dimensional Mass Spectrometry for Protein Analysis in Complex Biomixtures. [PDF]
Littlejohn C +4 more
europepmc +1 more source
Enhancing Volatility Prediction: A Wavelet‐Based Hierarchical Forecast Reconciliation Approach
ABSTRACT Forecasting realized volatility (RV) has been widely studied, with numerous techniques developed to enhance predictive accuracy. Among these techniques, the use of RV decompositions based on intraday asset returns has been applied. However, the use of a frequency‐based decomposition, which provides unique insights into the dynamics of RV ...
Adam Clements, Ajith Perera
wiley +1 more source

