All Outputs (6)

Heterogeneous ensemble selection for evolving data streams. [Dataset] (2020)
Dataset
LUONG, A.V., NGUYEN, T.T., LIEW, A.W.-C. and WANG, S. 2021. Heterogeneous ensemble selection for evolving data streams. [Dataset]. Pattern recognition [online], 112, article ID 107743. Available from: https://www.sciencedirect.com/science/article/pii/S003132032030546X#sec0023

Ensemble learning has been widely applied to both batch data classification and streaming data classification. For the latter setting, most existing ensemble systems are homogenous, which means they are generated from only one type of learning model.... Read More about Heterogeneous ensemble selection for evolving data streams. [Dataset].

An assessment of the financial soundness of the Kazakh banks. [Tables and Appendices] (2020)
Dataset
SALINA, A.P., ZHANG, X. and HASSAN, O.A.G. 2021. An assessment of the financial soundness of the Kazakh banks. [Tables and Appendices]. Hosted on OpenAIR [online]. Available from: https://rgu-repository.worktribe.com/output/906761

These appendices contain the tables and figures associated with a forthcoming article: SALINA, A.P., ZHANG, X. and HASSAN, O.A.G. 2021. An assessment of the financial soundness of the Kazakh banks. Asian journal of accounting research [online], 6(... Read More about An assessment of the financial soundness of the Kazakh banks. [Tables and Appendices].

Micropollutant fluxes in urban environment: a catchment perspective. [Dataset] (2020)
Dataset
PROCTOR, K., PETRIE, B., LOPARDO, L., MUÑOZ, D.C., RICE, J., BARDEN, R., ARNOT, T. and KASPRZYK-HORDERN, B. 2021. Micropollutant fluxes in urban environment: a catchment perspective. [Dataset]. Journal of hazardous materials [online], article ID 123745. Available from: https://www.sciencedirect.com/science/article/pii/S0304389420317349?via%3Dihub#sec0115

Anthropogenic substances, such as pharmaceuticals, pesticides, plasticizers, UV filters, industrial chemicals etc., have been widely recognised to be entering the environment from a variety of sources. There are many studies that detail the presence... Read More about Micropollutant fluxes in urban environment: a catchment perspective. [Dataset].

Proppant transport in dynamically propagating hydraulic fractures using CFD-XFEM approach. [Dataset] (2020)
Dataset
ISLAM, S., HOSSAIN, M. and SURI, Y. 2020. Proppant transport in dynamically propagating hydraulic fractures using CFD-XFEM approach. [Dataset]. Hosted on Mendeley Data [online]. Available from: https://doi.org/10.17632/sdzxzd9krm.1

The aim of this research was to find a dynamic and integrated numerical model that uses computational fluid dynamics (CFD) technique to model the fluid flow with proppant transport and Extended finite element method (XFEM) to model the fracture propa... Read More about Proppant transport in dynamically propagating hydraulic fractures using CFD-XFEM approach. [Dataset].

Air quality changes during the COVID-19 lockdown over the Yangtze River Delta Region: an insight into the impact of human activity pattern changes on air pollution variation. [Dataset] (2020)
Dataset
LI, L., LI, Q., HUANG, L., WANG, Q., ZHU, A., XU, J., LIU, Z., LI, H., SHI, L., LI, R., AZARI, M., WANG, Y., ZHANG, X., LIU, Z., ZHU, Y., ZHANG, K., XUE, S., OOI, M.C.G., ZHANG, D. and CHAN, A. 2020. Air quality changes during the COVID-19 lockdown over the Yangtze River Delta region: an insight into the impact of human activity pattern changes on air pollution variation. [Dataset]. Science of the total environment [online], 732, article 139282. Available from: https://doi.org/10.1016/j.scitotenv.2020.139282

At the end of the year 2019, the tragic coronavirus 2019 (COVID-19) pandemic occurred (Tian et al., 2020; Wang et al., 2020a) which has caused over 2.95 million global infections and 1931,000 deaths as of this writing (28th April 2020). Moreover the... Read More about Air quality changes during the COVID-19 lockdown over the Yangtze River Delta Region: an insight into the impact of human activity pattern changes on air pollution variation. [Dataset].

Quantifying and predicting the effect of anti-TNF therapy on axSpA-related fatigue: results from the BSRBR-AS registry and meta-analysis. [Dataset] (2020)
Dataset
SHIM, J., DEAN, L.E., KARABAYAS, M., JONES, G.T., MACFARLANE, G.J. and BASU, N. 2020. Quantifying and predicting the effect of anti-TNF therapy on axSpA-related fatigue: results from the BSRBR-AS registry and meta-analysis. [Dataset]. Rheumatology [online], 59(11), pages 3408-3414. Available from: https://academic.oup.com/rheumatology/article/59/11/3408/5825444#209624591

Effective management of axial spondyloarthritis (axSpA)-related fatigue is a major unmet clinical need. Anti-TNF therapy may reduce fatigue levels, although any effect has yet to be definitively quantified and predictors of any such improvements are... Read More about Quantifying and predicting the effect of anti-TNF therapy on axSpA-related fatigue: results from the BSRBR-AS registry and meta-analysis. [Dataset].