RT Journal Article
T1 Predicting concentration levels of air pollutants by transfer learning and recurrent neural network
A1 Fong, Iat Hang
A1 Li, Tengyue
A1 Wong, Raymond K.
A1 Tallón Ballesteros, Antonio Javier
PB Elsevier
SN 0950-7051
SN 1872-7409 (electrónico)
YR 2020
FD 2020-03
LK https://hdl.handle.net/10272/24978
UL https://hdl.handle.net/10272/24978
LA eng
NO Fong, I. H., Li, T., Fong, S., Wong, R. K., & Tallón-Ballesteros, A. J. (2020). Predicting concentration levels of air pollutants by transfer learning and recurrent neural network. In Knowledge-Based Systems (Vol. 192, p. 105622). Elsevier BV. https://doi.org/10.1016/j.knosys.2020.105622
NO The authors are thankful to the financial support from the research grants, 1) MYRG2016-00069, titled 'Nature-Inspired Computing and Metaheuristics Algorithms for Optimizing Data Mining Performance' and 2) MYRG2016-00217, titled ‘Improving the Protein-Ligand Scoring Function for Molecular Docking by Fuzzy Rule-based Machine Learning Approaches’ offered by University of Macau and Macau SAR government.
DS Repositorio Institucional de la Universidad de Huelva
RD 31 may 2026