155 related articles for article (PubMed ID: 38198835)
1. A new multiregional carbon emissions forecasting model based on a multivariable information fusion mechanism and hybrid spatiotemporal graph convolution network.
Shao Z; Gao S; Zhou K; Yang S
J Environ Manage; 2024 Feb; 352():119976. PubMed ID: 38198835
[TBL] [Abstract][Full Text] [Related]
2. A comparative study of statistical and machine learning models on carbon dioxide emissions prediction of China.
Li X; Zhang X
Environ Sci Pollut Res Int; 2023 Nov; 30(55):117485-117502. PubMed ID: 37867169
[TBL] [Abstract][Full Text] [Related]
3. China's carbon dioxide emission forecast based on improved marine predator algorithm and multi-kernel support vector regression.
Qin X; Zhang S; Dong X; Zhan Y; Wang R; Xu D
Environ Sci Pollut Res Int; 2023 Jan; 30(3):5730-5748. PubMed ID: 35982382
[TBL] [Abstract][Full Text] [Related]
4. Analysis and prediction of the temporal and spatial evolution of carbon emissions in China's eight economic regions.
Yu Z; Zhang Y; Zhang J; Zhang W
PLoS One; 2022; 17(12):e0277906. PubMed ID: 36454795
[TBL] [Abstract][Full Text] [Related]
5. Modeling the spatiotemporal dynamics of industrial sulfur dioxide emissions in China based on DMSP-OLS nighttime stable light data.
Yue Y; Wang Z; Tian L; Zhao J; Lai Z; Ji G; Xia H
PLoS One; 2020; 15(9):e0238696. PubMed ID: 32911520
[TBL] [Abstract][Full Text] [Related]
6. Determinants investigation and peak prediction of CO
Wang W; Wang J
Environ Sci Pollut Res Int; 2021 Oct; 28(39):55535-55553. PubMed ID: 34138431
[TBL] [Abstract][Full Text] [Related]
7. Spatial-temporal evolution and peak prediction of embodied carbon emissions in China's interregional trade.
Mo S; Wang T
Front Public Health; 2022; 10():1010521. PubMed ID: 36339160
[TBL] [Abstract][Full Text] [Related]
8. Forecasting carbon prices in China's pilot carbon market: A multi-source information approach with conditional generative adversarial networks.
Huang Z; Zhang W
J Environ Manage; 2024 May; 359():120967. PubMed ID: 38723494
[TBL] [Abstract][Full Text] [Related]
9. Spatiotemporal Dynamic Evolution and Its Driving Mechanism of Carbon Emissions in Hunan Province in the Last 20 Years.
Gu H; Liu Y; Xia H; Tan X; Zeng Y; Zhao X
Int J Environ Res Public Health; 2023 Feb; 20(4):. PubMed ID: 36833754
[TBL] [Abstract][Full Text] [Related]
10. Carbon peak forecast and low carbon policy choice of transportation industry in China: scenario prediction based on STIRPAT model.
Li C; Zhang Z; Wang L
Environ Sci Pollut Res Int; 2023 May; 30(22):63250-63271. PubMed ID: 36961638
[TBL] [Abstract][Full Text] [Related]
11. Carbon emission prediction of construction industry in Sichuan Province based on the GA-BP model.
Peng S; Tan J; Ma H
Environ Sci Pollut Res Int; 2024 Apr; 31(16):24567-24583. PubMed ID: 38448771
[TBL] [Abstract][Full Text] [Related]
12. Dynamic Relationships, Regional Differences, and Driving Mechanisms between Economic Development and Carbon Emissions from the Farming Industry: Empirical Evidence from Rural China.
Liu W; Xu R; Deng Y; Lu W; Zhou B; Zhao M
Int J Environ Res Public Health; 2021 Feb; 18(5):. PubMed ID: 33668785
[TBL] [Abstract][Full Text] [Related]
13. Spatial Evolutionary Characteristics and Influencing Factors of Urban Industrial Carbon Emission in China.
Zhang X; Shen M; Luan Y; Cui W; Lin X
Int J Environ Res Public Health; 2022 Sep; 19(18):. PubMed ID: 36141499
[TBL] [Abstract][Full Text] [Related]
14. Accurate multi-objective prediction of CO
Wu F; He J; Cai L; Du M; Huang M
J Environ Manage; 2023 Jul; 337():117759. PubMed ID: 36948144
[TBL] [Abstract][Full Text] [Related]
15. Spatiotemporal dynamic differences of energy-related CO
Yang B; Bai Z; Wang J
Environ Sci Pollut Res Int; 2022 Apr; 29(17):24737-24756. PubMed ID: 34826069
[TBL] [Abstract][Full Text] [Related]
16. Prediction of Urban Taxi Travel Demand by Using Hybrid Dynamic Graph Convolutional Network Model.
Zhao J; Kong W; Zhou M; Zhou T; Xu Y; Li M
Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015740
[TBL] [Abstract][Full Text] [Related]
17. MSTGC: Multi-Channel Spatio-Temporal Graph Convolution Network for Multi-Modal Brain Networks Fusion.
Xu R; Zhu Q; Li S; Hou Z; Shao W; Zhang D
IEEE Trans Neural Syst Rehabil Eng; 2023; 31():2359-2369. PubMed ID: 37171928
[TBL] [Abstract][Full Text] [Related]
18. The spatiotemporal evolution and impact mechanism of energy consumption carbon emissions in China from 2010 to 2020 by integrating multisource remote sensing data.
Wang M; Wang Y; Teng F; Ji Y
J Environ Manage; 2023 Nov; 346():119054. PubMed ID: 37742567
[TBL] [Abstract][Full Text] [Related]
19. A dual attention-based fusion network for long- and short-term multivariate vehicle exhaust emission prediction.
Fei X; Lai Z; Fang Y; Ling Q
Sci Total Environ; 2023 Feb; 860():160490. PubMed ID: 36442627
[TBL] [Abstract][Full Text] [Related]
20. Short-term prediction of carbon emissions based on the EEMD-PSOBP model.
Sun W; Ren C
Environ Sci Pollut Res Int; 2021 Oct; 28(40):56580-56594. PubMed ID: 34060019
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
