References
- Z.Q. Wang, A.G. Wu, L. Colombi Ciacchi, G. Wei, Recent
advances in nanoporous membranes for water purification,
Nanomaterials (Basel), 8 (2018) 65, doi: 10.3390/nano8020065.
- A. Molinari, C.M. Mayacela Rojas, A. Beneduci, A. Tavolaro,
M.F. Rivera Velasquez, C. Fallico, Adsorption performance
analysis of alternative reactive media for remediation of
aquifers affected by heavy metal contamination, Int. J. Environ.
Res. Public Health, 15 (2018) 980, doi: 10.3390/ijerph15050980.
- K.C. Solander, J.T. Reager, Y. Wada, J.S. Famiglietti,
R.S. Middleton, GRACE satellite observations reveal the
severity of recent water over-consumption in the United States,
Sci. Rep., 7 (2017) 8723, doi:10.1038/s41598-017-07450-y.
- S. Das, R. Mandal, V.N. Rabidas, N. Verma, K. Pandey,
A.K. Ghosh, S. Kesari, A. Kumar, B. Purkait, C.S. Lal, P. Das,
Chronic arsenic exposure and risk of post kala-azar dermal
leishmaniasis development in India:
a retrospective cohort
study, PLoS Negl. Trop. Dis., 10 (2016) e0005060, doi: 10.1371/journal.pntd.0005060.
- P. Zhang, W.-M. Wu, J.D. Van Nostrand, Y. Deng, Z. He,
T. Gihring, G. Zhang, C.W. Schadt, D. Watson, P. Jardine,
C.S. Criddle, S. Brooks, T.L. Marsh, J.M. Tiedje, A.P. Arkin,
J. Zhou, Dynamic succession of groundwater functional
microbial communities in response to emulsified vegetable oil
amendment during sustained in situ U(VI) reduction, Appl.
Environ. Microbiol., 81 (2015) 4164–4172.
- Q. Zhang, L. Wang, H. Wang, X. Zhu, L. Wang, Spatio-temporal
variation of groundwater quality and source apportionment
using multivariate statistical techniques for the Hutuo River
Alluvial-Pluvial Fan, China, Int. J. Environ. Res. Public Health,
17 (2020) 1055, doi: 10.3390/ijerph17031055.
- K. Song, X. Ren, A.K. Mohamed, J. Liu, F. Wang, Research on
drinking-groundwater source safety management based on
numerical simulation, Sci. Rep., 10 (2020) 15481, doi: 10.1038/s41598-020-72520-7.
- J. Chi, Y. Zhang, X. Yu, Y. Wang, C. Wu, Computed tomography
(CT) image quality enhancement via a uniform framework
integrating noise estimation and super-resolution networks,
Sensors (Basel), 19 (2019) 3348, doi:10.3390/s19153348.
- U. Stańczyk, B. Zielosko, G. Baron, Discretisation of conditions
in decision rules induced for continuous data, PLoS One,
15 (2020) e0231788, doi: 10.1371/journal.pone.0231788.
- Q. Xu, K. Xu, L. Li, X. Yao, Optimization of sand casting
performance parameters and missing data prediction,
R. Soc.
Open Sci., 6 (2019) 181860, doi: 10.1098/rsos.181860.
- Y. Suh, Y. Park, D. Kang, Evaluating mobile services using
integrated weighting approach and fuzzy VIKOR, PLoS One,
14 (2019) e0222312, doi: 10.1371/journal.pone.0222312.
- W. Majeed, M.J. Avison, Robust data driven model order
estimation for independent component analysis of fMRI
data with low contrast to noise, PLoS One, 9 (2014) e94943,
doi: 10.1371/journal.pone.0094943.
- M. Wang, H. Wang, J. Wang, H. Liu, R. Lu, T. Duan, X. Gong,
S. Feng, Y. Liu, Z. Cui, C. Li, J. Ma, A novel model for malaria
prediction based on ensemble algorithms, PLoS One, 14 (2019)
e0226910, doi:10.1371/journal.pone.0226910.
- J. Zhang, X. Tan, P. Zheng, Non-destructive detection of wire
rope discontinuities from residual magnetic field images using
the Hilbert-Huang transform and compressed sensing, Sensors
(Basel), 17 (2017) 608, doi:10.3390/s17030608.
- Q. Li, H. Tao, J. Wang, Q. Zhou, J. Chen, W.Z. Qin, L. Dong,
B. Fu, J.L. Hou, J. Chen, Z. Wei-Hong, Warfarin maintenance
dose prediction for patients undergoing heart valve
replacement — a hybrid model with genetic algorithm and
back-propagation neural network, Sci. Rep., 8 (2018) 9712,
doi: 10.1038/s41598-018-27772-9.
- H. Ghazvinian, S.-F. Mousavi, H. Karami, S. Farzin, M. Ehteram,
M.S. Hossain, C.M. Fai, H.B. Hashim, V.P. Singh, F.C. Ros,
A.N. Ahmed, H. Abdulmohsin Afan, S.H. Lai, A. El-Shafie,
Integrated support vector regression and an improved
particle swarm optimization-based model for solar radiation
prediction, PLoS One, 14 (2019) e0217634, doi: 10.1371/journal.
pone.0217634.
- H.W. Darwish, M.I. Attia, A.S. Abdelhameed, A.M. Alanazi,
A.H. Bakheit, Comparative ANNs with different input layers
and GA-PLS study for simultaneous spectrofluorimetric
determination of melatonin and pyridoxine HCl in the presence
of melatonin’s main impurity, Molecules, 18 (2013) 974–996.
- K. Song, X. Ren, A.K. Mohamed, J. Liu, F. Wang, Research on
drinking-groundwater source safety management based on
numerical simulation, Sci. Rep., 10 (2020) 15481, doi: 10.1038/s41598-020-72520-7.
- T. Hong, Geological Environment Monitoring Station of Shaanxi
Province, Groundwater Monitoring Yearbook of Shaanxi
Province, China University of Geosciences Press, Wuhan, 2016,
pp. 1–45.
- B.S. Raccor, A.J. Claessens, J.C. Dinh, J.R. Park,
D.S. Hawkins, S.S. Thomas, K.W. Makar, J.S. McCune, R.A. Totah,
Potential contribution of cytochrome P450 2B6 to hepatic
4-hydroxycyclophosphamide formation in vitro and in vivo,
Drug Metab. Dispos., 40 (2012) 54–63.
- M.A. Martín Del Campo, M.V. Esteller, J.L. Expósito, R. Hirata,
Impacts of urbanization on groundwater hydrodynamics and
hydrochemistry of the Toluca Valley aquifer (Mexico), Environ.
Monit. Assess., 186 (2014) 2979–2999.
- H. Akramifard, M.A. Balafar, S.N. Razavi, A.R. Ramli, Emphasis
learning, features repetition in width instead of length to
improve classification performance: case study—Alzheimer’s
disease diagnosis, Sensors (Basel), 20 (2020) 941, doi: 10.3390/s20030941.
- X. Liu, X. Pei, N. Li, Y. Zhang, X. Zhang, J. Chen, L. Lv, H. Ma,
X. Wu, W. Zhao, T. Lou, Improved glomerular filtration rate
estimation by an artificial neural network, PLoS One, 8 (2013)
e58242, doi:10.1371/journal.pone.0058242.
- W. Yang, Y. Zhao, D. Wang, H. Wu, A. Lin, L. He, Using Principal
Components Analysis and IDW Interpolation to determine
spatial and temporal changes of surface water quality of
Xin’anjiang River in Huangshan, China, Int. J. Environ. Res.
Public Health, 17 (2020) 2942, doi: 10.3390/ijerph17082942.