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Wenhua Yu

Monash University

23 Innovation Walk

Wellington Road

Clayton, 3800

Australia

  • Monash University

SCHOLARLY PAPERS

3

DOWNLOADS

188

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Indoor Pm2.5 Forecasting and the Association with Outdoor Air Pollution: A Modelling Study Based on Sensor Data in Australia

Downloads 75 (867,774)

Indoor Pm2.5 Forecasting and the Association with Outdoor Air Pollution: A Modelling Study Based on Sensor Data in Australia

Number of pages: 22 Posted: 11 Sep 2024
Wenhua Yu, Bahareh Nakisa, Seng Loke, Svetlana Stevanovic, Yuming Guo and Mohammed Nahim Rastgoo
Monash University, Deakin University, Deakin University, Deakin University, Monash University - Department of Epidemiology and Preventive Medicine and Queensland University of Technology
Downloads 39 (1,238,337)

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deep ensemble model, indoor air pollution, Machine learning, PM2.5, Australia

Indoor Pm2.5 Forecasting and the Association with Outdoor Air Pollution: A Modelling Study Based on Sensor Data in Australia

Number of pages: 23 Posted: 16 Jan 2025
Wenhua Yu, Bahareh Nakisa, Seng Loke, Svetlana Stevanovic, Mohammad Naim Rastgoo and Yuming Guo
Monash University, Deakin University, Deakin University, Deakin University, University of Adelaide and Monash University - Department of Epidemiology and Preventive Medicine
Downloads 36 (1,311,254)

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deep ensemble model, indoor air pollution, machine learning, PM2.5, Australia

2.

Deep Ensemble Machine Learning with Bayesian Blending Improved Accuracy and Precision of Modelled Ground-Level Ozone for Region with Sparse Monitoring: Australia, 2005-2018

Number of pages: 28 Posted: 16 Oct 2024
Ivan Hanigan, Wenhua Yu, Cassandra Yuen, Karthik Gopi, Luke D. Knibbs, Christine Cowie, Bin Jalaludin, Martin Cope, Matthew L. Riley, Jane Heyworth, Lidia Morawska, Guy B. Marks, Geoffrey G. Morgan and Yuming Guo
Curtin University, Monash University, affiliation not provided to SSRN, affiliation not provided to SSRN, The University of Sydney - School of Public Health, The University of Sydney - Woolcock Institute of Medical Research, University of New South Wales (UNSW) - School of Population Health, Castray Esplanade - CSIRO Oceans and Atmosphere, affiliation not provided to SSRN, The University of Western Australia - School of Population & Global Health, Queensland University of Technology - International Laboratory for Air Quality and Health, Woolcock Institute of Medical Research, Vietnam, The University of Sydney and Monash University - Department of Epidemiology and Preventive Medicine
Downloads 59 (980,173)

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Deep ensemble machine learning (DEML), Bayesian Maximum Entropy (BME), blending, exposure modelling, ozone, air pollution epidemiology

3.

Comparison of High Spatial Resolution Pm2.5, Pm10 Andno2 Estimates for Epidemiological Studies Using a Deep Ensemble Machine Learning Framework When There are Sparse Monitoring Data

Number of pages: 24 Posted: 07 Feb 2025
Christine Cowie, Ivan Hanigan, Wenhua Yu, Cassandra Yuen, Karthik Gopi, Geoffrey G. Morgan, Nicolas Borchers Arriagada, Jane Heyworth, Martin Cope, Lidia Morawska, Bin Jalaludin, Guy B. Marks, Yuming Guo and Luke D. Knibbs
University of New South Wales (UNSW), Curtin University, Monash University, affiliation not provided to SSRN, affiliation not provided to SSRN, The University of Sydney, Menzies Institute for Medical Research, University of Tasmania, The University of Western Australia - School of Population & Global Health, affiliation not provided to SSRN, Queensland University of Technology - International Laboratory for Air Quality and Health, University of New South Wales (UNSW) - School of Population Health, Woolcock Institute of Medical Research, Vietnam, Monash University and The University of Sydney - School of Public Health
Downloads 54 (1,031,043)

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Air pollution modelling, PM, NO2, exposure assessment, deep ensemble, machine learning