252 related articles for article (PubMed ID: 36554314)
21. Forecasting PM 2.5 concentration based on integrating of CEEMDAN decomposition method with SVM and LSTM.
Ameri R; Hsu CC; Band SS; Zamani M; Shu CM; Khorsandroo S
Ecotoxicol Environ Saf; 2023 Nov; 266():115572. PubMed ID: 37837695
[TBL] [Abstract][Full Text] [Related]
22. Modeling and Simulating Passenger Behavior for a Station Closure in a Rail Transit Network.
Yin H; Han B; Li D; Wu J; Sun H
PLoS One; 2016; 11(12):e0167126. PubMed ID: 27935963
[TBL] [Abstract][Full Text] [Related]
23. A novel coupled rainfall prediction model based on stepwise decomposition technique.
Jiao X; He Z
Sci Rep; 2024 May; 14(1):10853. PubMed ID: 38740973
[TBL] [Abstract][Full Text] [Related]
24. Load forecasting method based on CEEMDAN and TCN-LSTM.
Heng L; Hao C; Nan LC
PLoS One; 2024; 19(7):e0300496. PubMed ID: 38968242
[TBL] [Abstract][Full Text] [Related]
25. Analyzing Influencing Factors of Transfer Passenger Flow of Urban Rail Transit: A New Approach Based on Nested Logit Model Considering Transfer Choices.
Zhu Z; Zeng J; Gong X; He Y; Qiu S
Int J Environ Res Public Health; 2021 Aug; 18(16):. PubMed ID: 34444211
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Optimization and Evaluation of an Intelligent Short-Term Blood Glucose Prediction Model Based on Noninvasive Monitoring and Deep Learning Techniques.
Zhang Y; Gao G
J Healthc Eng; 2022; 2022():8956850. PubMed ID: 35449869
[TBL] [Abstract][Full Text] [Related]
28. An improved framework to predict river flow time series data.
Nazir HM; Hussain I; Ahmad I; Faisal M; Almanjahie IM
PeerJ; 2019; 7():e7183. PubMed ID: 31304058
[TBL] [Abstract][Full Text] [Related]
29. Application of hybrid model based on CEEMDAN, SVD, PSO to wind energy prediction.
Zhang Y; Chen Y
Environ Sci Pollut Res Int; 2022 Mar; 29(15):22661-22674. PubMed ID: 34797536
[TBL] [Abstract][Full Text] [Related]
30. Short-term prediction of PM2.5 concentration by hybrid neural network based on sequence decomposition.
Wu X; Zhu J; Wen Q
PLoS One; 2024; 19(5):e0299603. PubMed ID: 38728371
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. 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]
33. A novel short-term carbon emission prediction model based on secondary decomposition method and long short-term memory network.
Kong F; Song J; Yang Z
Environ Sci Pollut Res Int; 2022 Sep; 29(43):64983-64998. PubMed ID: 35482236
[TBL] [Abstract][Full Text] [Related]
34. A Novel Groundwater Burial Depth Prediction Model Based on Two-Stage Modal Decomposition and Deep Learning.
Zhang X; Zheng Z
Int J Environ Res Public Health; 2022 Dec; 20(1):. PubMed ID: 36612668
[TBL] [Abstract][Full Text] [Related]
35. A prediction model of aquaculture water quality based on multiscale decomposition.
Yang H; Liu S
Math Biosci Eng; 2021 Sep; 18(6):7561-7579. PubMed ID: 34814263
[TBL] [Abstract][Full Text] [Related]
36. A Hybrid Model for Coronavirus Disease 2019 Forecasting Based on Ensemble Empirical Mode Decomposition and Deep Learning.
Liu S; Wan Y; Yang W; Tan A; Jian J; Lei X
Int J Environ Res Public Health; 2022 Dec; 20(1):. PubMed ID: 36612939
[TBL] [Abstract][Full Text] [Related]
37. [China's Energy Consumption and Carbon Peak Path Under Different Scenarios].
Chen XY; Zhou C; Wang T
Huan Jing Ke Xue; 2023 Oct; 44(10):5464-5477. PubMed ID: 37827764
[TBL] [Abstract][Full Text] [Related]
38. Carbon price forecasting based on modified ensemble empirical mode decomposition and long short-term memory optimized by improved whale optimization algorithm.
Yang S; Chen D; Li S; Wang W
Sci Total Environ; 2020 May; 716():137117. PubMed ID: 32074939
[TBL] [Abstract][Full Text] [Related]
39. A New Time Series Forecasting Model Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Temporal Convolutional Network.
Guo C; Kang X; Xiong J; Wu J
Neural Process Lett; 2022 Oct; ():1-21. PubMed ID: 36248248
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]