These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

218 related articles for article (PubMed ID: 29198027)

  • 1. Estimation of sodium adsorption ratio indicator using data mining methods: a case study in Urmia Lake basin, Iran.
    Sattari MT; Farkhondeh A; Patrick Abraham J
    Environ Sci Pollut Res Int; 2018 Feb; 25(5):4776-4786. PubMed ID: 29198027
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of the five-day biochemical oxygen demand and chemical oxygen demand in natural streams using machine learning methods.
    Najafzadeh M; Ghaemi A
    Environ Monit Assess; 2019 May; 191(6):380. PubMed ID: 31104155
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Estimation of sodium adsorption ratio in a river with kernel-based and decision-tree models.
    Sattari MT; Feizi H; Colak MS; Ozturk A; Apaydin H; Ozturk F
    Environ Monit Assess; 2020 Aug; 192(9):575. PubMed ID: 32772253
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Reservoir water quality simulation with data mining models.
    Arefinia A; Bozorg-Haddad O; Oliazadeh A; Loáiciga HA
    Environ Monit Assess; 2020 Jul; 192(7):482. PubMed ID: 32617682
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Application of M5 model tree optimized with Excel Solver Platform for water quality parameter estimation.
    Bayatvarkeshi M; Imteaz MA; Kisi O; Zarei M; Yaseen ZM
    Environ Sci Pollut Res Int; 2021 Feb; 28(6):7347-7364. PubMed ID: 33033926
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Letter to the editor "Estimation of sodium adsorption ratio indicator using data mining methods: a case study in Urmia Lake basin, Iran" by Mohammad Taghi Sattari, Arya Farkhondeh, and John Patrick Abraham.
    Mohammadi B
    Environ Sci Pollut Res Int; 2019 Apr; 26(10):10439-10440. PubMed ID: 30701474
    [No Abstract]   [Full Text] [Related]  

  • 7. Prediction of water quality parameters using machine learning models: a case study of the Karun River, Iran.
    Nouraki A; Alavi M; Golabi M; Albaji M
    Environ Sci Pollut Res Int; 2021 Oct; 28(40):57060-57072. PubMed ID: 34081285
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Trend and abrupt change analysis in water quality of Urmia Lake in comparison with changes in lake water level.
    Sattari MT; Mirabbasi R; Jarhan S; Shaker Sureh F; Ahmad S
    Environ Monit Assess; 2020 Sep; 192(10):623. PubMed ID: 32895730
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Estimation of daily dissolved oxygen concentration for river water quality using conventional regression analysis, multivariate adaptive regression splines, and TreeNet techniques.
    Nacar S; Mete B; Bayram A
    Environ Monit Assess; 2020 Nov; 192(12):752. PubMed ID: 33159587
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Real-time reservoir operation using data mining techniques.
    Bozorg-Haddad O; Aboutalebi M; Ashofteh PS; Loáiciga HA
    Environ Monit Assess; 2018 Sep; 190(10):594. PubMed ID: 30232560
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integrated satellite data fusion and mining for monitoring lake water quality status of the Albufera de Valencia in Spain.
    Doña C; Chang NB; Caselles V; Sánchez JM; Camacho A; Delegido J; Vannah BW
    J Environ Manage; 2015 Mar; 151():416-26. PubMed ID: 25602695
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration.
    Ehteram M; Singh VP; Ferdowsi A; Mousavi SF; Farzin S; Karami H; Mohd NS; Afan HA; Lai SH; Kisi O; Malek MA; Ahmed AN; El-Shafie A
    PLoS One; 2019; 14(5):e0217499. PubMed ID: 31150443
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Quantitative assessment of Urmia Lake water using spaceborne multisensor data and 3D modeling.
    Jeihouni M; Toomanian A; Alavipanah SK; Hamzeh S
    Environ Monit Assess; 2017 Oct; 189(11):572. PubMed ID: 29046972
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Assessment of the Spatial and Temporal Variations of Water Quality for Agricultural Lands with Crop Rotation in China by Using a HYPE Model.
    Yin Y; Jiang S; Pers C; Yang X; Liu Q; Yuan J; Yao M; He Y; Luo X; Zheng Z
    Int J Environ Res Public Health; 2016 Mar; 13(3):. PubMed ID: 26999184
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A system dynamics model to quantify the impacts of restoration measures on the water-energy-food nexus in the Urmia lake Basin, Iran.
    Bakhshianlamouki E; Masia S; Karimi P; van der Zaag P; Sušnik J
    Sci Total Environ; 2020 Mar; 708():134874. PubMed ID: 31796284
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multivariate modeling of pan evaporation in monthly temporal resolution using a hybrid evolutionary data-driven method (case study: Urmia Lake and Gavkhouni basins).
    Emadi A; Zamanzad-Ghavidel S; Fazeli S; Zarei S; Rashid-Niaghi A
    Environ Monit Assess; 2021 May; 193(6):355. PubMed ID: 34028631
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Investigating the causality of changes in the landscape pattern of Lake Urmia basin, Iran using remote sensing and time series analysis.
    Mehrian MR; Hernandez RP; Yavari AR; Faryadi S; Salehi E
    Environ Monit Assess; 2016 Aug; 188(8):462. PubMed ID: 27406207
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Water quality index modeling using random forest and improved SMO algorithm for support vector machine in Saf-Saf river basin.
    Sakaa B; Elbeltagi A; Boudibi S; Chaffaï H; Islam ARMT; Kulimushi LC; Choudhari P; Hani A; Brouziyne Y; Wong YJ
    Environ Sci Pollut Res Int; 2022 Jul; 29(32):48491-48508. PubMed ID: 35192167
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Distribution of phosphorous pools in western river sediments of the Urmia Lake basin, Iran.
    Arfania H; Samadi A; Asadzadeh F; Sepehr E; Jaisi D
    Environ Sci Pollut Res Int; 2018 Apr; 25(12):11614-11625. PubMed ID: 29429108
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Stacked hybridization to enhance the performance of artificial neural networks (ANN) for prediction of water quality index in the Bagh river basin, India.
    Kushwaha NL; Kudnar NS; Vishwakarma DK; Subeesh A; Jatav MS; Gaddikeri V; Ahmed AA; Abdelaty I
    Heliyon; 2024 May; 10(10):e31085. PubMed ID: 38784559
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.