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For: Chang YS, Abimannan S, Chiao HT, Lin CY, Huang YP. An ensemble learning based hybrid model and framework for air pollution forecasting. Environ Sci Pollut Res Int 2020;27:38155-38168. [PMID: 32621183 DOI: 10.1007/s11356-020-09855-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 06/22/2020] [Indexed: 06/11/2023]
Number Cited by Other Article(s)
1
Pan W, Gong S, Ke H, Li X, Chen D, Huang C, Song D. Development of an automated photolysis rates prediction system based on machine learning. J Environ Sci (China) 2025;151:211-224. [PMID: 39481934 DOI: 10.1016/j.jes.2024.03.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 03/27/2024] [Accepted: 03/27/2024] [Indexed: 11/03/2024]
2
Uche-Soria M, Tabuenca B, Halcón-Gibert G, Núñez-Guerrero Y. Quantifying and Forecasting Emission Reductions in Urban Mobility: An IoT-Driven Bike-Sharing Analysis. SENSORS (BASEL, SWITZERLAND) 2025;25:2163. [PMID: 40218675 PMCID: PMC11991179 DOI: 10.3390/s25072163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2025] [Revised: 03/23/2025] [Accepted: 03/26/2025] [Indexed: 04/14/2025]
3
Bernacki J. Forecasting the concentration of the components of the particulate matter in Poland using neural networks. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2025;32:9179-9212. [PMID: 40117111 DOI: 10.1007/s11356-025-36265-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Accepted: 03/09/2025] [Indexed: 03/23/2025]
4
Zhou S, Wang W, Zhu L, Qiao Q, Kang Y. Deep-learning architecture for PM2.5 concentration prediction: A review. ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY 2024;21:100400. [PMID: 38439920 PMCID: PMC10910069 DOI: 10.1016/j.ese.2024.100400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 03/06/2024]
5
Wang W, Liu B, Tian Q, Xu X, Peng Y, Peng S. Predicting dust pollution from dry bulk ports in coastal cities: A hybrid approach based on data decomposition and deep learning. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024;350:124053. [PMID: 38677458 DOI: 10.1016/j.envpol.2024.124053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 04/21/2024] [Accepted: 04/24/2024] [Indexed: 04/29/2024]
6
Hasnain A, Hashmi MZ, Khan S, Bhatti UA, Min X, Yue Y, He Y, Wei G. Predicting ambient PM2.5 concentrations via time series models in Anhui Province, China. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024;196:487. [PMID: 38687422 DOI: 10.1007/s10661-024-12644-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Accepted: 04/19/2024] [Indexed: 05/02/2024]
7
Nandi BP, Singh G, Jain A, Tayal DK. Evolution of neural network to deep learning in prediction of air, water pollution and its Indian context. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY : IJEST 2023:1-16. [PMID: 37360564 PMCID: PMC10148580 DOI: 10.1007/s13762-023-04911-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 07/22/2022] [Accepted: 03/25/2023] [Indexed: 06/28/2023]
8
Gao C, Lu PH, Ye WM, Liu ZR, Wang Q, Chen YG. Machine learning-based models for predicting gas breakthrough pressure of porous media with low/ultra-low permeability. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023;30:35872-35890. [PMID: 36538229 DOI: 10.1007/s11356-022-24558-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
9
Wan A, Yang J, Chen T, Jinxing Y, Li K, Qinglong Z. Dynamic pollution emission prediction method of a combined heat and power system based on the hybrid CNN-LSTM model and attention mechanism. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022;29:69918-69931. [PMID: 35579836 DOI: 10.1007/s11356-022-20718-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Accepted: 05/05/2022] [Indexed: 06/15/2023]
10
Guo Q, Ren M, Wu S, Sun Y, Wang J, Wang Q, Ma Y, Song X, Chen Y. Applications of artificial intelligence in the field of air pollution: A bibliometric analysis. Front Public Health 2022;10:933665. [PMID: 36159306 PMCID: PMC9490423 DOI: 10.3389/fpubh.2022.933665] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 08/11/2022] [Indexed: 01/25/2023]  Open
11
Yu Z, Jang M, Madhu A. Prediction of Phase State of Secondary Organic Aerosol Internally Mixed with Aqueous Inorganic Salts. J Phys Chem A 2021;125:10198-10206. [PMID: 34797662 DOI: 10.1021/acs.jpca.1c06773] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
12
Busari GA, Lim DH. Crude oil price prediction: A comparison between AdaBoost-LSTM and AdaBoost-GRU for improving forecasting performance. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107513] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
13
The Process and Platform for Predicting PM2.5 Inhalation and Retention during Exercise. Processes (Basel) 2021. [DOI: 10.3390/pr9112026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]  Open
14
Akdi Y, Gölveren E, Ünlü KD, Yücel ME. Modeling and forecasting of monthly PM2.5 emission of Paris by periodogram-based time series methodology. ENVIRONMENTAL MONITORING AND ASSESSMENT 2021;193:622. [PMID: 34477984 DOI: 10.1007/s10661-021-09399-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 08/17/2021] [Indexed: 06/13/2023]
15
Features Exploration from Datasets Vision in Air Quality Prediction Domain. ATMOSPHERE 2021. [DOI: 10.3390/atmos12030312] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
16
Chu J, Dong Y, Han X, Xie J, Xu X, Xie G. Short-term prediction of urban PM2.5 based on a hybrid modified variational mode decomposition and support vector regression model. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021;28:56-72. [PMID: 33044693 DOI: 10.1007/s11356-020-11065-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 09/30/2020] [Indexed: 06/11/2023]
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