Results 221 to 230 of about 57,676 (265)

Bayesian Estimation of Partial Functional Tobit Censored Quantile Regression Model. [PDF]

Stat Med
Wang C, Lu Z, Wang C, Song X.
europepmc   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach. [PDF]

Entropy (Basel)
Chen R, Chen Z.
europepmc   +1 more source

Inter‐Material Transfer Learning for Accelerated Nanofluid Heat Transfer Prediction: A Machine Learning Approach for Energy Systems

Energy Science &Engineering, EarlyView.
This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah, Aymen Ochi, Sonia Bezi   +2 more
wiley   +1 more source

Quantile regression model for interval-censored data with competing risks. [PDF]

J Appl Stat
Afiqah Binti Che Ramli A, Kim YJ.
europepmc   +1 more source

Graph Neural Network‐Based Prediction of Building Energy Consumption

Energy Science &Engineering, EarlyView.
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti, Jamal Dabbagh, Jhila Nasiri Reveshti, Karim Farajeyan Bonab, Farid Hosseini Mansoub   +4 more
wiley   +1 more source

Quantile regression of tobacco tax pass-through in the UK 2017-2021: how have manufacturers passed through tax changes for different tobacco products in small retailers? Analysis at the national level and by neighbourhood of deprivation. [PDF]

Tob Control
Wilson LB, Angus C, Brennan A, Gillespie D, Shortt NK, Tunstall H, Valiente R, Pearce J.   +7 more
europepmc   +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, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Health, wealth, and nature in harmony? a method of moments quantile regression approach to the obesity-income-environment trinity in the G7 panel. [PDF]

J Health Popul Nutr
Gönenç S.
europepmc   +1 more source

Impacts of agritech on sustainable agriculture in Sub-Saharan Africa: a quantile regression approach towards SDG 2.4. [PDF]

Carbon Balance Manag
Kantoğlu B, Çabaş M, Erdem A, Pilatin A, Barut A, Radulescu M.   +5 more
europepmc   +1 more source