196 related articles for article (PubMed ID: 37301497)
1. An AQI decomposition ensemble model based on SSA-LSTM using improved AMSSA-VMD decomposition reconstruction technique.
Wang K; Fan X; Yang X; Zhou Z
Environ Res; 2023 Sep; 232():116365. PubMed ID: 37301497
[TBL] [Abstract][Full Text] [Related]
2. A multi-scale evolutionary deep learning model based on CEEMDAN, improved whale optimization algorithm, regularized extreme learning machine and LSTM for AQI prediction.
Ji C; Zhang C; Hua L; Ma H; Nazir MS; Peng T
Environ Res; 2022 Dec; 215(Pt 1):114228. PubMed ID: 36084674
[TBL] [Abstract][Full Text] [Related]
3. A new hybrid prediction model of air quality index based on secondary decomposition and improved kernel extreme learning machine.
Li G; Tang Y; Yang H
Chemosphere; 2022 Oct; 305():135348. PubMed ID: 35718028
[TBL] [Abstract][Full Text] [Related]
4. A hybrid multi-scale fusion paradigm for AQI prediction based on the secondary decomposition.
Deng Y; Xu T; Sun Z
Environ Sci Pollut Res Int; 2024 May; 31(22):32694-32713. PubMed ID: 38658513
[TBL] [Abstract][Full Text] [Related]
5. An ensemble LSTM-based AQI forecasting model with decomposition-reconstruction technique via CEEMDAN and fuzzy entropy.
Wu Z; Zhao W; Lv Y
Air Qual Atmos Health; 2022; 15(12):2299-2311. PubMed ID: 36196368
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Improving the prediction accuracy of river inflow using two data pre-processing techniques coupled with data-driven model.
Nazir HM; Hussain I; Faisal M; Elashkar EE; Shoukry AM
PeerJ; 2019; 7():e8043. PubMed ID: 31871832
[TBL] [Abstract][Full Text] [Related]
8. A reduced-form ensemble of short-term air quality forecasting with the Sparrow search algorithm and decomposition error correction.
Hu K; Che J
Environ Sci Pollut Res Int; 2023 Apr; 30(16):48508-48531. PubMed ID: 36759410
[TBL] [Abstract][Full Text] [Related]
9. A novel optimal-hybrid model for daily air quality index prediction considering air pollutant factors.
Wu Q; Lin H
Sci Total Environ; 2019 Sep; 683():808-821. PubMed ID: 31154159
[TBL] [Abstract][Full Text] [Related]
10. Combined model of air quality index forecasting based on the combination of complementary empirical mode decomposition and sequence reconstruction.
Wang W; Tang Q
Environ Pollut; 2023 Jan; 316(Pt 2):120628. PubMed ID: 36370980
[TBL] [Abstract][Full Text] [Related]
11. Research on Deformation Prediction of VMD-GRU Deep Foundation Pit Based on PSO Optimization Parameters.
Liu R; Zhang Q; Jiang F; Zhou J; He J; Mao Z
Materials (Basel); 2024 May; 17(10):. PubMed ID: 38793264
[TBL] [Abstract][Full Text] [Related]
12. A new hybrid prediction model of PM
Yang H; Zhao J; Li G
Environ Sci Pollut Res Int; 2022 Sep; 29(44):67214-67241. PubMed ID: 35524096
[TBL] [Abstract][Full Text] [Related]
13. A water quality prediction model based on variational mode decomposition and the least squares support vector machine optimized by the sparrow search algorithm (VMD-SSA-LSSVM) of the Yangtze River, China.
Song C; Yao L; Hua C; Ni Q
Environ Monit Assess; 2021 May; 193(6):363. PubMed ID: 34041601
[TBL] [Abstract][Full Text] [Related]
14. A hybrid model for daily air quality index prediction and its performance in the face of impact effect of COVID-19 lockdown.
Li Y; Li R
Process Saf Environ Prot; 2023 Aug; 176():673-684. PubMed ID: 37350802
[TBL] [Abstract][Full Text] [Related]
15. The multi-strategy hybrid forecasting base on SSA-VMD-WST for complex system.
Su H; Ma S; Xu X
PLoS One; 2024; 19(4):e0300142. PubMed ID: 38635832
[TBL] [Abstract][Full Text] [Related]
16. A hybrid prediction model of dissolved oxygen concentration based on secondary decomposition and bidirectional gate recurrent unit.
Jiao J; Ma Q; Liu F; Zhao L; Huang S
Environ Geochem Health; 2024 Mar; 46(4):127. PubMed ID: 38483668
[TBL] [Abstract][Full Text] [Related]
17. A dynamic prediction model of landslide displacement based on VMD-SSO-LSTM approach.
Wang H; Ao Y; Wang C; Zhang Y; Zhang X
Sci Rep; 2024 Apr; 14(1):9203. PubMed ID: 38649403
[TBL] [Abstract][Full Text] [Related]
18. A novel hybrid model for air quality index forecasting based on two-phase decomposition technique and modified extreme learning machine.
Wang D; Wei S; Luo H; Yue C; Grunder O
Sci Total Environ; 2017 Feb; 580():719-733. PubMed ID: 27989476
[TBL] [Abstract][Full Text] [Related]
19. An interval AQI combination prediction model based on multiple data decomposition and information aggregation operator.
Wang Y; Li H; Dai X; Zhou L
Environ Sci Pollut Res Int; 2024 Feb; 31(9):14284-14302. PubMed ID: 38277105
[TBL] [Abstract][Full Text] [Related]
20. Prediction of total volatile basic nitrogen (TVB-N) in fish meal using a metal-oxide semiconductor electronic nose based on the VMD-SSA-LSTM algorithm.
Li P; Li Z; Hu Y; Huang S; Yu N; Niu Z; Wang Z; Zhou H; Sun X
J Sci Food Agric; 2024 May; ():. PubMed ID: 38808632
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
