188 related articles for article (PubMed ID: 29717330)
1. Use of ultraviolet-visible spectrophotometry associated with artificial neural networks as an alternative for determining the water quality index.
Alves EM; Rodrigues RJ; Dos Santos Corrêa C; Fidemann T; Rocha JC; Buzzo JLL; de Oliva Neto P; Núñez EGF
Environ Monit Assess; 2018 May; 190(6):319. PubMed ID: 29717330
[TBL] [Abstract][Full Text] [Related]
2. Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors.
Gazzaz NM; Yusoff MK; Aris AZ; Juahir H; Ramli MF
Mar Pollut Bull; 2012 Nov; 64(11):2409-20. PubMed ID: 22925610
[TBL] [Abstract][Full Text] [Related]
3. Water quality modelling using principal component analysis and artificial neural network.
Ibrahim A; Ismail A; Juahir H; Iliyasu AB; Wailare BT; Mukhtar M; Aminu H
Mar Pollut Bull; 2023 Feb; 187():114493. PubMed ID: 36566515
[TBL] [Abstract][Full Text] [Related]
4. Artificial neural network modeling of the water quality index using land use areas as predictors.
Gazzaz NM; Yusoff MK; Ramli MF; Juahir H; Aris AZ
Water Environ Res; 2015 Feb; 87(2):99-112. PubMed ID: 25790513
[TBL] [Abstract][Full Text] [Related]
5. Online water quality monitoring based on UV-Vis spectrometry and artificial neural networks in a river confluence near Sherfield-on-Loddon.
Zhang H; Zhang L; Wang S; Zhang L
Environ Monit Assess; 2022 Aug; 194(9):630. PubMed ID: 35920913
[TBL] [Abstract][Full Text] [Related]
6. Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China.
Wen X; Fang J; Diao M; Zhang C
Environ Monit Assess; 2013 May; 185(5):4361-71. PubMed ID: 23001527
[TBL] [Abstract][Full Text] [Related]
7. Assessment of the water quality monitoring network of the Piabanha River experimental watersheds in Rio de Janeiro, Brazil, using autoassociative neural networks.
Villas-Boas MD; Olivera F; de Azevedo JPS
Environ Monit Assess; 2017 Sep; 189(9):439. PubMed ID: 28785884
[TBL] [Abstract][Full Text] [Related]
8. Performance of biotic indices in comparison to chemical-based Water Quality Index (WQI) in evaluating the water quality of urban river.
Wan Abdul Ghani WMH; Abas Kutty A; Mahazar MA; Al-Shami SA; Ab Hamid S
Environ Monit Assess; 2018 Apr; 190(5):297. PubMed ID: 29675764
[TBL] [Abstract][Full Text] [Related]
9. Groundwater Quality Modeling with a Small Data Set.
Sakizadeh M; Malian A; Ahmadpour E
Ground Water; 2016 Jan; 54(1):115-20. PubMed ID: 25572437
[TBL] [Abstract][Full Text] [Related]
10. Water toxicity assessment and spatial pollution patterns identification in a Mediterranean River Basin District. Tools for water management and risk analysis.
Carafa R; Faggiano L; Real M; Munné A; Ginebreda A; Guasch H; Flo M; Tirapu L; von der Ohe PC
Sci Total Environ; 2011 Sep; 409(20):4269-79. PubMed ID: 21794894
[TBL] [Abstract][Full Text] [Related]
11. Development of statistical regression and artificial neural network models for estimating nitrogen, phosphorus, COD, and suspended solid concentrations in eutrophic rivers using UV-Vis spectroscopy.
Lyu Y; Zhao W; Kinouchi T; Nagano T; Tanaka S
Environ Monit Assess; 2023 Aug; 195(9):1114. PubMed ID: 37648802
[TBL] [Abstract][Full Text] [Related]
12. Application of the index WQI-CCME with data aggregation per monitoring campaign and per section of the river: case study-Joanes River, Brazil.
de Almeida GS; de Oliveira IB
Environ Monit Assess; 2018 Mar; 190(4):195. PubMed ID: 29516191
[TBL] [Abstract][Full Text] [Related]
13. Classification of cow milk using artificial neural network developed from the spectral data of single- and three-detector spectrophotometers.
Behkami S; Zain SM; Gholami M; Khir MFA
Food Chem; 2019 Oct; 294():309-315. PubMed ID: 31126468
[TBL] [Abstract][Full Text] [Related]
14. Water Quality Index (WQI) of Jaguari and Atibaia Rivers in the region of Paulínia, São Paulo, Brazil.
Ramos MA; de Oliveira ES; Pião AC; Leite DA; de Angelis Dde F
Environ Monit Assess; 2016 May; 188(5):263. PubMed ID: 27037698
[TBL] [Abstract][Full Text] [Related]
15. An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland.
Deo RC; Şahin M
Environ Monit Assess; 2016 Feb; 188(2):90. PubMed ID: 26780409
[TBL] [Abstract][Full Text] [Related]
16. Water Quality Assessment of River Soan (Pakistan) and Source Apportionment of Pollution Sources Through Receptor Modeling.
Nazeer S; Ali Z; Malik RN
Arch Environ Contam Toxicol; 2016 Jul; 71(1):97-112. PubMed ID: 27000830
[TBL] [Abstract][Full Text] [Related]
17. Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring.
Najah A; El-Shafie A; Karim OA; El-Shafie AH
Environ Sci Pollut Res Int; 2014 Feb; 21(3):1658-1670. PubMed ID: 23949111
[TBL] [Abstract][Full Text] [Related]
18. A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States.
Olyaie E; Banejad H; Chau KW; Melesse AM
Environ Monit Assess; 2015 Apr; 187(4):189. PubMed ID: 25787167
[TBL] [Abstract][Full Text] [Related]
19. Coastal groundwater quality prediction using objective-weighted WQI and machine learning approach.
Das CR; Das S
Environ Sci Pollut Res Int; 2024 Mar; 31(13):19439-19457. PubMed ID: 38355860
[TBL] [Abstract][Full Text] [Related]
20. Water quality in Atlantic rainforest mountain rivers (South America): quality indices assessment, nutrients distribution, and consumption effect.
Avigliano E; Schenone N
Environ Sci Pollut Res Int; 2016 Aug; 23(15):15063-75. PubMed ID: 27083909
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]