150 related articles for article (PubMed ID: 35062384)
21. Improved feed forward with bald eagle search for conjunctive water management in deficit region.
Yan J; Li G; Qi G; Yao X; Song M
Chemosphere; 2022 Dec; 309(Pt 2):136614. PubMed ID: 36181848
[TBL] [Abstract][Full Text] [Related]
22. Integrative analysis of multi machine learning models for tetracycline photocatalytic degradation with MOFs in wastewater treatment.
Salahshoori I; Namayandeh Jorabchi M; Baghban A; Khonakdar HA
Chemosphere; 2024 Feb; 350():141010. PubMed ID: 38154677
[TBL] [Abstract][Full Text] [Related]
23. Prediction of effluent total nitrogen and energy consumption in wastewater treatment plants: Bayesian optimization machine learning methods.
Ye G; Wan J; Deng Z; Wang Y; Chen J; Zhu B; Ji S
Bioresour Technol; 2024 Mar; 395():130361. PubMed ID: 38286171
[TBL] [Abstract][Full Text] [Related]
24. A new hybrid optimization prediction model for PM2.5 concentration considering other air pollutants and meteorological conditions.
Yang H; Liu Z; Li G
Chemosphere; 2022 Nov; 307(Pt 3):135798. PubMed ID: 35964719
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Knowledge discovery employing grid scheme least squares support vector machines based on orthogonal design bee colony algorithm.
Hsieh TJ; Yeh WC
IEEE Trans Syst Man Cybern B Cybern; 2011 Oct; 41(5):1198-212. PubMed ID: 21421446
[TBL] [Abstract][Full Text] [Related]
27. An improved least squares SVM with adaptive PSO for the prediction of coal spontaneous combustion.
Zhang Q; Li HG
Math Biosci Eng; 2019 Apr; 16(4):3169-3182. PubMed ID: 31137256
[TBL] [Abstract][Full Text] [Related]
28. Hybrid support vector machine optimization model for inversion of tunnel transient electromagnetic method.
Liang X; Qi TY; Jin ZY; Qian WP
Math Biosci Eng; 2020 Jun; 17(4):3998-4017. PubMed ID: 32987564
[TBL] [Abstract][Full Text] [Related]
29. Identification of DNA-binding proteins via Multi-view LSSVM with independence criterion.
Zhao S; Zhang Y; Ding Y; Zou Q; Tang L; Liu Q; Zhang Y
Methods; 2022 Nov; 207():29-37. PubMed ID: 36087888
[TBL] [Abstract][Full Text] [Related]
30. Dissolved oxygen content prediction in crab culture using a hybrid intelligent method.
Yu H; Chen Y; Hassan S; Li D
Sci Rep; 2016 Jun; 6():27292. PubMed ID: 27270206
[TBL] [Abstract][Full Text] [Related]
31. Compressor fault diagnosis system based on PCA-PSO-LSSVM algorithm.
Zhang K; Su J; Sun S; Liu Z; Wang J; Du M; Liu Z; Zhang Q
Sci Prog; 2021; 104(3):368504211026110. PubMed ID: 34255588
[TBL] [Abstract][Full Text] [Related]
32. A voltammetric electronic tongue as tool for water quality monitoring in wastewater treatment plants.
Campos I; Alcañiz M; Aguado D; Barat R; Ferrer J; Gil L; Marrakchi M; Martínez-Mañez R; Soto J; Vivancos JL
Water Res; 2012 May; 46(8):2605-14. PubMed ID: 22424964
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. Daily PM
Sun W; Sun J
J Environ Manage; 2017 Mar; 188():144-152. PubMed ID: 27988447
[TBL] [Abstract][Full Text] [Related]
35. T-wave end detection using neural networks and Support Vector Machines.
Suárez-León AA; Varon C; Willems R; Van Huffel S; Vázquez-Seisdedos CR
Comput Biol Med; 2018 May; 96():116-127. PubMed ID: 29567483
[TBL] [Abstract][Full Text] [Related]
36. Quantitative estimation of wastewater quality parameters by hyperspectral band screening using GC, VIP and SPA.
Xing Z; Chen J; Zhao X; Li Y; Li X; Zhang Z; Lao C; Wang H
PeerJ; 2019; 7():e8255. PubMed ID: 31844597
[TBL] [Abstract][Full Text] [Related]
37. Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology.
Lotfi K; Bonakdari H; Ebtehaj I; Mjalli FS; Zeynoddin M; Delatolla R; Gharabaghi B
J Environ Manage; 2019 Jun; 240():463-474. PubMed ID: 30959435
[TBL] [Abstract][Full Text] [Related]
38. A Temperature Compensation Method for aSix-Axis Force/Torque Sensor Utilizing Ensemble hWOA-LSSVM Based on Improved Trimmed Bagging.
Li X; Gao L; Cao H; Sun Y; Jiang M; Zhang Y
Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808305
[TBL] [Abstract][Full Text] [Related]
39. Kernel functions embedded in support vector machine learning models for rapid water pollution assessment via near-infrared spectroscopy.
Chen H; Xu L; Ai W; Lin B; Feng Q; Cai K
Sci Total Environ; 2020 Apr; 714():136765. PubMed ID: 31982759
[TBL] [Abstract][Full Text] [Related]
40. Effluent quality prediction of the sewage treatment based on a hybrid neural network model: Comparison and application.
Wang Z; Dai H; Chen B; Cheng S; Sun Y; Zhao J; Guo Z; Cai X; Wang X; Li B; Geng H
J Environ Manage; 2024 Feb; 351():119900. PubMed ID: 38157580
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
