L
Lidia Morawska
Researcher at Queensland University of Technology
Publications - 777
Citations - 132997
Lidia Morawska is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Particle number & Ultrafine particle. The author has an hindex of 100, co-authored 746 publications receiving 95412 citations. Previous affiliations of Lidia Morawska include University of Surrey & Jinan University.
Papers
More filters
Journal ArticleDOI
A study on extending the use of air quality monitor data via deep learning techniques
TL;DR: In this paper, a deep learning technique called Long Short-Term Memory (LSTM) was used to extend the use of air quality monitor data via deep learning techniques, which can be used to provide indicative information about air pollutants around the training location.
Journal ArticleDOI
A Novel Method and Its Application to Measuring Pathogen Decay in Bioaerosols from Patients with Respiratory Disease.
Graham R. Johnson,Luke D. Knibbs,Timothy J. Kidd,Claire E. Wainwright,Michelle Wood,Kay A. Ramsay,Kay A. Ramsay,Scott C. Bell,Scott C. Bell,Lidia Morawska +9 more
TL;DR: In this article, the authors developed an in-vivo approach for measuring the duration of human bioaerosol infectivity, using techniques designed to target short-term and long-term bioaerrosol aging, were combined in a tandem system.
Journal ArticleDOI
Emissions of particulate matters, volatile organic compounds and polycyclic aromatic hydrocarbons from warm and hot asphalt mixes
Meng Xiu,Xianyu Wang,Lidia Morawska,David Pass,Andrew Beecroft,Jochen F. Mueller,Phong K. Thai,Phong K. Thai +7 more
TL;DR: In this paper, the authors evaluated the emissions of volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs) and total suspended particles (TSP) from crumb rubber modified (CRM) asphalt mixes.
Journal ArticleDOI
New insights into the spatial distribution of particle number concentrations by applying non-parametric land use regression modelling
Mahmudur Rahman,Jayanandana Karunasinghe,Samuel Clifford,Samuel Clifford,Luke D. Knibbs,Lidia Morawska +5 more
TL;DR: New insights into spatial variation in PNC are provided and it is demonstrated that the non-parametric RF model is a better choice for developing a LUR model for PNCs because of its robust predictive performance in comparison with the LARS parametric regression model.
Journal ArticleDOI
Meta-analysis on short-term exposure to ambient ultrafine particles and respiratory morbidity.
Evangelia Samoli,Sophia Rodopoulou,Alexandra Schneider,Lidia Morawska,Massimo Stafoggia,Matteo Renzi,Susanne Breitner,Timo Lanki,Regina Pickford,Tamara Schikowski,Okokon Enembe,Siqi Zhang,Qi Zhao,Annette Peters +13 more
TL;DR: A systematic review and meta-analysis for respiratory hospital admissions and emergency room visits following short-term exposure to ultrafine particles indicates UFP effects on respiratory health among children, and during the warm season across all ages at longer lags.