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 *

172 related articles for article (PubMed ID: 36037940)

  • 1. Improved neural network with least square support vector machine for wastewater treatment process.
    Zhu J; Jiang Z; Feng L
    Chemosphere; 2022 Dec; 308(Pt 1):136116. PubMed ID: 36037940
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Water Quality Indicator Interval Prediction in Wastewater Treatment Process Based on the Improved BES-LSSVM Algorithm.
    Zhou M; Zhang Y; Wang J; Shi Y; Puig V
    Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062384
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Analysis of the Electricity Consumption in Municipal Wastewater Treatment Plants in Northeast China in Terms of Wastewater Characteristics.
    Wang X; Dong Y; Yu S; Mu G; Qu H; Li Z; Bian D
    Int J Environ Res Public Health; 2022 Nov; 19(21):. PubMed ID: 36361281
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of effluent concentration in a wastewater treatment plant using machine learning models.
    Guo H; Jeong K; Lim J; Jo J; Kim YM; Park JP; Kim JH; Cho KH
    J Environ Sci (China); 2015 Jun; 32():90-101. PubMed ID: 26040735
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Performance assessment of major wastewater treatment plants (WWTPs) in the state of Georgia.
    Mines RO; Lackey LW; Behrend GR
    J Environ Sci Health A Tox Hazard Subst Environ Eng; 2006; 41(10):2175-98. PubMed ID: 17018407
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Utilization of random vector functional link integrated with manta ray foraging optimization for effluent prediction of wastewater treatment plant.
    Elmaadawy K; Elaziz MA; Elsheikh AH; Moawad A; Liu B; Lu S
    J Environ Manage; 2021 Nov; 298():113520. PubMed ID: 34391109
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Modeling and multi-objective optimization for ANAMMOX process under COD disturbance using hybrid intelligent algorithm.
    Xie B; Ma YW; Wan JQ; Wang Y; Yan ZC; Liu L; Guan ZY
    Environ Sci Pollut Res Int; 2018 Jul; 25(21):20956-20967. PubMed ID: 29766428
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of effluent quality in ICEAS-sequential batch reactor using feedforward artificial neural network.
    Khatri N; Khatri KK; Sharma A
    Water Sci Technol; 2019 Jul; 80(2):213-222. PubMed ID: 31537757
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Diffusion pollution from livestock and poultry rearing in the Yangtze Delta, China.
    Gu P; Shen RF; Chen YD
    Environ Sci Pollut Res Int; 2008 May; 15(3):273-7. PubMed ID: 18504847
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Performance of wild-Serbian Ganoderma lucidum mycelium in treating synthetic sewage loading using batch bioreactor.
    Mohd Hanafiah Z; Wan Mohtar WHM; Abu Hasan H; Jensen HS; Klaus A; Wan-Mohtar WAAQI
    Sci Rep; 2019 Nov; 9(1):16109. PubMed ID: 31695087
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. A back propagation neural network model for accurately predicting the removal efficiency of ammonia nitrogen in wastewater treatment plants using different biological processes.
    Zhang SZ; Chen S; Jiang H
    Water Res; 2022 Aug; 222():118908. PubMed ID: 35917670
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A sensitive ferricyanide-mediated biochemical oxygen demand assay for analysis of wastewater treatment plant influents and treated effluents.
    Jordan MA; Welsh DT; John R; Catterall K; Teasdale PR
    Water Res; 2013 Feb; 47(2):841-9. PubMed ID: 23200506
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Ubiquity of activated sludge ferricyanide-mediated BOD methods: a comparison of sludge seeds across wastewater treatment plants.
    Jordan MA; Welsh DT; Teasdale PR
    Talanta; 2014 Jul; 125():293-300. PubMed ID: 24840446
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Prediction of the effluent from a domestic wastewater treatment plant of CASP using gray model and neural network.
    Chen HM; Lo SL
    Environ Monit Assess; 2010 Mar; 162(1-4):265-75. PubMed ID: 19267211
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea.
    Kim S; Alizamir M; Zounemat-Kermani M; Kisi O; Singh VP
    J Environ Manage; 2020 Sep; 270():110834. PubMed ID: 32507742
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Model construction and application for effluent prediction in wastewater treatment plant: Data processing method optimization and process parameters integration.
    Wang R; Yu Y; Chen Y; Pan Z; Li X; Tan Z; Zhang J
    J Environ Manage; 2022 Jan; 302(Pt A):114020. PubMed ID: 34731713
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Assessment of AWT systems in the metro Atlanta area.
    Mines RO; Behrend GR; Holmes Bell G
    J Environ Manage; 2004 Apr; 70(4):309-14. PubMed ID: 15016439
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluation of multivariate linear regression and artificial neural networks in prediction of water quality parameters.
    Zare Abyaneh H
    J Environ Health Sci Eng; 2014 Jan; 12(1):40. PubMed ID: 24456676
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.