Results 171 to 180 of about 619,855 (240)
An innovative meshless approach for solving 2D Allen-Cahn equations using the RBF-compact finite difference method. [PDF]
Fardi M, Azarnavid B, Emami H.
europepmc +1 more source
The proposed framework operates as a continuous cycle: organizational data streams feed into predictive optimization, which generates energy efficiency targets. These targets are translated into behavioral directives through human resource management mechanisms.
Huang Juan, Aimi Binti Anuar
wiley +1 more source
An upper-limb teleoperation exoskeleton with stepless arm-length parameterization and adaptive force-triggered impedance blending. [PDF]
Zeng P +6 more
europepmc +1 more source
The role of cuproptosis in HBV‐ALF was explored via bioinformatics and liver biopsy tissues. There are some crosstalks among cuproptosis, immune infiltration, and ferroptosis (The figure was created by Bio Render). ABSTRACT Hepatitis B virus (HBV) infection poses a significant challenge to global health, particularly in developing countries such as ...
Jingwen Deng +10 more
wiley +1 more source
Data-driven p-norms for estimating transmission loss coefficients in power systems. [PDF]
Montoya OD +2 more
europepmc +1 more source
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das +2 more
wiley +1 more source
A nomogram for estimating baseline respiratory insufficiency in patients with amyotrophic lateral sclerosis. [PDF]
Wang H +5 more
europepmc +1 more source
Lost in Translation? Risk‐Adjusting RMSE for Economic Forecast Performance
ABSTRACT When used for parameter optimization and/or model selection, traditional mean squared error (MSE)–based measures of forecast accuracy often exhibit a weak or even negative correlation with the economic value of return forecasts measured by, for example, the Sharpe ratios of the resulting portfolios.
Lukas Salcher +2 more
wiley +1 more source
Evaluating Forecasts at Multiple Horizons: An Extension of the Diebold–Mariano Approach
ABSTRACT Forecast accuracy tests are fundamental tools for comparing competing predictive models. The widely used Diebold–Mariano (DM) test assesses whether differences in forecast errors are statistically significant. However, its standard form is limited to pairwise comparisons at a single forecast horizon.
Andrew Grant +2 more
wiley +1 more source

