Results 241 to 250 of about 157,640 (328)

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Emergency Care Units across Senegal

, 2008
Tallaye Wade, Mamman Diop, Seni NDIAYE, Diagne Sow   +3 more
openalex   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

Bayesian Hierarchical Model for Evaluating Secondary Schools Systems in Kenya: A Clinical Outcomes Assessment

, 2008
Ngugi Kioni, Kagwe Wafula, Mwangi Kahora Gitonga   +2 more
openalex   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Bayesian Hierarchical Model for Measuring System Reliability in Tanzanian Manufacturing Plants: A Methodological Evaluation

, 2009
Kisito Msuya, Mwakisopa Mawanda, Simba Kinyanjui   +2 more
openalex   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

Hierarchical Bayesian Modeling: Does it Improve Parameter Stability?

, 2013
Benjamin Scheibehenne, Thorsten Pachur
openalex   +1 more source

A Study on Autonomous Vehicle Crash Hierarchy Analysis and Severity Model Based on Bayesian Probabilistic Inference

Songha LEE, Juneyoung PARK
openalex   +1 more source

Bayesian Hierarchical Model for Evaluating Power-Distribution Equipment in South Africa

, 2009
Nthabiseng Mpho Rampey, Makgosiele Mamabolo Dube, Lephani Nomathemba Khumalo, Sipho Thandiwe Maluleke   +3 more
openalex   +1 more source