Search results: Sage Journals

Restricted accessResearch articleFirst published 2026

Bayesian-regularized neural network analysis of heat and mass transfer in ternary hybrid nanofluid with motile microorganisms: Thermodynamic optimization

Munawar Abbas, Ansar Abbas, Saba Liaqat [...]

Proceedings of the Institution of Mechanical Engineers,Part N: Journal of Nanomaterials,Nanoengineering and Nanosystems

Restricted accessResearch articleFirst published April, 2018

A review and comparison of Bayesian and likelihood-based inferences in beta regression and zero-or-one-inflated beta regression

Fang Liu, Evercita C Eugenio

Statistical Methods in Medical Research

Restricted accessResearch articleFirst published March, 1994

Statistical models for PET and SPECT data

Jim Kay

Statistical Methods in Medical Research

Restricted accessResearch articleFirst published February, 2010

Compressor map generation using a feed-forward neural network and rig data

M Gholamrezaei, K Ghorbanian

Proceedings of the Institution of Mechanical Engineers,Part A: Journal of Power and Energy

Restricted accessResearch articleFirst published September, 2025

An output-only damage identification method based on reinforcement-aided evolutionary algorithm and heterogeneous response reconstruction

Guangcai Zhang, Shuai Gao, Chunfeng Wan [...]

Structural Health Monitoring

Restricted accessResearch articleFirst published March, 2010

Polynomial chaos-based parameter estimation methods applied to a vehicle system

E D Blanchard, A Sandu, C Sandu

Proceedings of the Institution of Mechanical Engineers,Part K: Journal of Multi-body Dynamics

Restricted accessResearch articleFirst published February, 2019

Estimating Uncertainty of Work Zone Capacity using Neural Network Models

Zilin Bian, Kaan Ozbay

Transportation Research Record: Journal of the Transportation Research Board

Restricted accessResearch articleFirst published February, 2002

Bayesian learning and evolutionary parameter optimization

Thomas Ragg

The European Journal on Artificial Intelligence

Restricted accessResearch articleFirst published April, 2018

Bayesian variable selection in the accelerated failure time model with an application to the surveillance,epidemiology,and end results breast cancer data

Zhen Zhang, Samiran Sinha, Tapabrata Maiti [...]

Statistical Methods in Medical Research

Restricted accessResearch articleFirst published December, 2020

A data-driven approach for the health prognosis of high-speed train wheels

Zhexiang Chi, Taotao Zhou, Simin Huang [...]

Proceedings of the Institution of Mechanical Engineers,Part O: Journal of Risk and Reliability

Restricted accessResearch articleFirst published 2026

Bayesian-regularized neural network analysis of heat and mass transfer in ternary hybrid nanofluid with motile microorganisms: Thermodynamic optimization

Munawar Abbas, Ansar Abbas, Saba Liaqat [...]

Proceedings of the Institution of Mechanical Engineers,Part N: Journal of Nanomaterials,Nanoengineering and Nanosystems

Restricted accessResearch articleFirst published April, 2018

A review and comparison of Bayesian and likelihood-based inferences in beta regression and zero-or-one-inflated beta regression

Fang Liu, Evercita C Eugenio

Statistical Methods in Medical Research

Restricted accessResearch articleFirst published March, 1994

Statistical models for PET and SPECT data

Jim Kay

Statistical Methods in Medical Research

Restricted accessResearch articleFirst published February, 2010

Compressor map generation using a feed-forward neural network and rig data

M Gholamrezaei, K Ghorbanian

Proceedings of the Institution of Mechanical Engineers,Part A: Journal of Power and Energy

Restricted accessResearch articleFirst published September, 2025

An output-only damage identification method based on reinforcement-aided evolutionary algorithm and heterogeneous response reconstruction

Guangcai Zhang, Shuai Gao, Chunfeng Wan [...]

Structural Health Monitoring

Restricted accessResearch articleFirst published March, 2010

Polynomial chaos-based parameter estimation methods applied to a vehicle system

E D Blanchard, A Sandu, C Sandu

Proceedings of the Institution of Mechanical Engineers,Part K: Journal of Multi-body Dynamics

Restricted accessResearch articleFirst published February, 2019

Estimating Uncertainty of Work Zone Capacity using Neural Network Models

Zilin Bian, Kaan Ozbay

Transportation Research Record: Journal of the Transportation Research Board

Restricted accessResearch articleFirst published February, 2002

Bayesian learning and evolutionary parameter optimization

Thomas Ragg

The European Journal on Artificial Intelligence

Restricted accessResearch articleFirst published April, 2018

Bayesian variable selection in the accelerated failure time model with an application to the surveillance,epidemiology,and end results breast cancer data

Zhen Zhang, Samiran Sinha, Tapabrata Maiti [...]

Statistical Methods in Medical Research

Restricted accessResearch articleFirst published December, 2020

A data-driven approach for the health prognosis of high-speed train wheels

Zhexiang Chi, Taotao Zhou, Simin Huang [...]

Proceedings of the Institution of Mechanical Engineers,Part O: Journal of Risk and Reliability