Results 181 to 190 of about 3,032,172 (354)
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
The Financial Performance of U.S. Farmer Cooperatives: A Quantile Regression Analysis of Efficiency, Productivity, and Leverage [PDF]
Jasper Grashuis, Grashuis, Jasper
openalex +1 more source
Abstract Background Trigeminal‐mediated headshaking (TMHS) in horses shares clinical features with human trigeminal neuralgia (HTN). Increased levels of the neuropeptide calcitonin gene‐related peptide (CGRP) have been found in the blood and cerebrospinal fluid (CSF) of HTN patients. Inhibition of CGRP in humans has shown promise for pain relief.
Lisa Annabel Weber +7 more
wiley +1 more source
Marketing inputs and outcome heterogeneity: Using a quantile regression framework in the entertainment industry [PDF]
Alexa B. Burmester +3 more
openalex +1 more source
Abstract Background Bodyweight, age and breed influence the echocardiographic assessment of foals. There are no echocardiographic studies in Standardbred neonatal foals. Objectives To describe echocardiographic values for selected variables, evaluate intra‐ and inter‐observer variability and assess cardiac changes in the first 5 days of life in healthy
Fernanda Timbó D'el Rey Dantas +8 more
wiley +1 more source
Forecasting Carbon Prices: A Literature Review
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source
Seasonal Decomposition‐Enhanced Deep Learning Architecture for Probabilistic Forecasting
ABSTRACT Time series decomposition as a general preprocessing method has been widely used in the field of time series forecasting. However, since the future is unknown, this preprocessing practice is limited in realistic forecasting, especially in real‐time forecasting scenarios.
Keyan Jin +1 more
wiley +1 more source
A case study on using quantile regression in psychiatry research. [PDF]
Shankar RG +3 more
europepmc +1 more source
quantile-forest: A Python Package for Quantile Regression Forests
Reid A. Johnson
semanticscholar +1 more source

