Search results for "PM2.5"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
92	Clemens Mensink, Felix Deutsch, Liliane Janssen, Rudi Torfs, Jean Vankerkom	Comprehensive Modelling of PM10 and PM2.5 Scenarios for Belgium and Europe in 2010.	Numerical Methods and Applications	2006	DBLP DOI BibTeX RDF	Air quality modelling, aerosols, fine particulate matter, PM2.5, PM10, emission scenarios, abatement strategies
49	Ayako Ogawa Kawano	[Poster] Association between prenatal exposure to ambient particulate matter (PM2.5) and adverse birth outcomes in Nepal and Bangladesh using the prediction model for daily PM2.5 concentrations matched with demographic and health survey data: spatio-temporal analysis: Predicting PM2.5 in Nepal and Bangladesh using XGBoost, LightGBM, and deep learning with multisource satellite data including Sentinel-5P.	COMPASS	2021	DBLP DOI BibTeX RDF
42	Patricio Perez, Jorge Reyes	Prediction of Particlulate Air Pollution using Neural Techniques.	Neural Comput. Appl.	2001	DBLP DOI BibTeX RDF	Particulate matter, Dynamical systems, Time series prediction, Feed-forward neural network, Air pollution, Noise elimination
33	Ling Qi, Haotian Zheng, Dian Ding, Dechao Ye, Shuxiao Wang	Effects of Meteorology Changes on Inter-Annual Variations of Aerosol Optical Depth and Surface PM2.5 in China - Implications for PM2.5 Remote Sensing.	Remote. Sens.	2022	DBLP DOI BibTeX RDF
33	Junjie Zhao, Shaofu Lin, Xiliang Liu, Jinhai Chen, Yumin Zhang, Qiang Mei	ST-CCN-PM2.5: fine-grained PM2.5 concentration prediction via spatial-temporal causal convolution network.	ARIC@SIGSPATIAL	2021	DBLP DOI BibTeX RDF
33	Chengbo Wu, Ke Li, Kaixu Bai	Validation and Calibration of CAMS PM2.5 Forecasts Using In Situ PM2.5 Measurements in China and United States.	Remote. Sens.	2020	DBLP DOI BibTeX RDF
33	Shuo Wang 0010, Yanran Li, Jiang Zhang 0006, Qingye Meng, Lingwei Meng, Fei Gao	PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting.	CoRR	2020	DBLP BibTeX RDF
33	Wen-Cheng Vincent Wang, Tai-Hung Lin, Chun Hu Liu, Chih-Wen Su, Shih-Chun Candice Lung	Fusion of Environmental Sensing on PM2.5 and Deep Learning on Vehicle Detecting for Acquiring Roadside PM2.5 Concentration Increments.	Sensors	2020	DBLP DOI BibTeX RDF
33	Shuo Wang 0010, Yanran Li, Jiang Zhang 0006, Qingye Meng, Lingwei Meng, Fei Gao	PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting.	SIGSPATIAL/GIS	2020	DBLP DOI BibTeX RDF
33	Yung-Sheng Lin, Yu-Hsiang Chang, Yue-Shan Chang	Constructing PM2.5 Map Based on Mobile PM2.5 Sensor and Cloud Platform.	CIT	2016	DBLP DOI BibTeX RDF
33	Arnoud Apituley, Martijn Schaap, Robert Koelemeijer, Renske Timmermans, Robin Schoemaker, Gerrit de Leeuw	Construction of Satellite Derived PM2.5 Maps using the Relationship between AOD and PM2.5 at the Cabauw Experimental Site for Atmospheric Research (CESAR) - The Netherlands.	IGARSS (3)	2008	DBLP DOI BibTeX RDF
21	HwangSoo Park, Jin YouLin, Sang Boem Lim, Jung-Hun Woo, Suhyang Kim, Young Sunwoo, Minghe Piao	Design issues of integrated subway air quality management system base on particulate matter measurements.	ICIS	2009	DBLP DOI BibTeX RDF
21	Monica Bianchini, Ernesto Di Iorio, Marco Maggini, Augusto Pucci	Cyclostationary Neural Networks for Air Pollutant Concentration Prediction.	ANNPR	2008	DBLP DOI BibTeX RDF
16	Jian Wang, Tao Wu, Junjun Mao, Huayou Chen	A forecasting framework on fusion of spatiotemporal features for multi-station PM2.5.	Expert Syst. Appl.	2024	DBLP DOI BibTeX RDF
16	Bozhi Yao, Guang Ling, Feng Liu 0011, Ming-Feng Ge	Multi-source variational mode transfer learning for enhanced PM2.5 concentration forecasting at data-limited monitoring stations.	Expert Syst. Appl.	2024	DBLP DOI BibTeX RDF
16	Zhenxing Ren, Jia Zhang, Yu Zhou, Xinxin Ji	Prediction of PM2.5 with a piecewise affine model considering spatial-temporal correlation.	J. Intell. Fuzzy Syst.	2024	DBLP DOI BibTeX RDF
16	Yan Chen, Chunchun Hu	Hourly PM2.5 Concentration Prediction Based on Empirical Mode Decomposition and Geographically Weighted Neural Network.	ISPRS Int. J. Geo Inf.	2024	DBLP DOI BibTeX RDF
16	Shuhui Wu, Yuxin Sun, Rui Bai 0005, Xingxing Jiang, Chunlin Jin, Yong Xue	Estimation of PM2.5 and PM10 Mass Concentrations in Beijing Using Gaofen-1 Data at 100 m Resolution.	Remote. Sens.	2024	DBLP DOI BibTeX RDF
16	Yujie Yang, Zhige Wang, Chunxiang Cao, Min Xu, Xinwei Yang, Kaimin Wang, Heyi Guo, Xiaotong Gao, Jingbo Li, Zhou Shi	Estimation of PM2.5 Concentration across China Based on Multi-Source Remote Sensing Data and Machine Learning Methods.	Remote. Sens.	2024	DBLP DOI BibTeX RDF
16	Ming-Chuan Yang, Guo-Wei Wong, Meng Chang Chen	Sparse Grid Imputation Using Unpaired Imprecise Auxiliary Data: Theory and Application to PM2.5 Estimation.	ACM Trans. Knowl. Discov. Data	2024	DBLP DOI BibTeX RDF
16	Po-Yu Liu, Yu-Tse Tsan, Yu-Wei Chan, Wei-Chen Chan, Zhi-Yuan Shi, Chao-Tung Yang, Ben-Shen Lou	Associations of PM2.5 and aspergillosis: ambient fine particulate air pollution and population-based big data linkage analyses.	J. Ambient Intell. Humaniz. Comput.	2024	DBLP DOI BibTeX RDF
16	Tafia Hasna Putri, Rezzy Eko Caraka, Toni Toharudin, Yunho Kim, Rung-Ching Chen, Prana Ugiana Gio, Anjar Dimara Sakti, Resa Septiani Pontoh, Indah Reski Pratiwi, Farid Azhar Lutfi Nugraha, Thalita Safa Azzahra, Jessica Jesslyn Cerelia, Gumgum Darmawan, Defi Yusti Faidah, Bens Pardamean	Fine-Tuning of Predictive Models CNN-LSTM and CONV-LSTM for Nowcasting PM2.5 Level.	IEEE Access	2024	DBLP DOI BibTeX RDF
16	Bolin Qi, Yong Jiang, Hongliang Wang, Jixin Jin	Multi-Source PM2.5 Prediction Model Based on Fusion of Graph Attention Networks and Multiple Time Periods.	IEEE Access	2024	DBLP DOI BibTeX RDF
16	Yu-Lun Chiang, Jen-Cheng Wang, Mu-Hwa Lee, An-Chi Liu, Joe-Air Jiang	Deep-Learning-Based Multi-Timestamp Multi-Location PM2.5 Prediction: Verification by Using a Mobile Monitoring System With an IoT Framework Deployed in the Urban Zone of a Metropolitan Area.	IEEE Internet Things J.	2024	DBLP DOI BibTeX RDF
16	Xinyue Zhang, Chen Ding, Guizhi Wang	An Autoregressive-Based Kalman Filter Approach for Daily PM2.5 Concentration Forecasting in Beijing, China.	Big Data	2024	DBLP DOI BibTeX RDF
16	Suhaimee Buya, Hideomi Gokon, Hieu-Chi Dam, Sasiporn Usanavasin, Jessada Karnjana	Estimating Ground-Level Hourly PM2.5 Concentrations in Thailand Using Satellite Data: A Log-Linear Model With Sum Contrast Analysis.	IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.	2024	DBLP DOI BibTeX RDF
16	Qingming Zhan, Chen Yang 0006, Huimin Liu	How do greenspace landscapes affect PM2.5 exposure in Wuhan? Linking spatial-nonstationary, annual varying, and multiscale perspectives.	Geo spatial Inf. Sci.	2024	DBLP DOI BibTeX RDF
16	Lina Wang, Xiaochen Jin, Zengyang Huang, Han Zhu, Zheyi Chen, Yimin Liu, Hailin Feng	Short-Term PM2.5 Prediction Based on Multi-Modal Meteorological Data for Consumer-Grade Meteorological Electronic Systems.	IEEE Trans. Consumer Electron.	2024	DBLP DOI BibTeX RDF
16	Lei Duan, Ziyang Jiang, David E. Carlson	Augmenting Ground-Level PM2.5 Prediction via Kriging-Based Pseudo-Label Generation.	CoRR	2024	DBLP DOI BibTeX RDF
16	Hossein Bagheri	Using Deep Ensemble Forest for High Resolution Mapping of PM2.5 from MODIS MAIAC AOD in Tehran, Iran.	CoRR	2024	DBLP DOI BibTeX RDF
16	Maosen Xia, Linlin Dong, Lingling Jiang, Min Zeng	Research on time series change point detection and influencing factors under machine learning: based on PM2.5 concentration data in Hefei city.	Earth Sci. Informatics	2024	DBLP DOI BibTeX RDF
16	Weitian Tong, Jordan Limperis, Felix Hamza-Lup, Yao Xu, Lixin Li	Robust Transformer-based model for spatiotemporal PM2.5 prediction in California.	Earth Sci. Informatics	2024	DBLP DOI BibTeX RDF
16	Xiaocao Ouyang, Yan Yang 0001, Yiling Zhang, Wei Zhou, Dongyu Guo	Dual-channel spatial-temporal difference graph neural network for PM2.5 forecasting.	Neural Comput. Appl.	2023	DBLP DOI BibTeX RDF
16	Zijing Yuan, Shangce Gao, Yirui Wang 0001, Jiayi Li, Chunzhi Hou, Lijun Guo	Prediction of PM2.5 time series by seasonal trend decomposition-based dendritic neuron model.	Neural Comput. Appl.	2023	DBLP DOI BibTeX RDF
16	Choujun Zhan, Wei Jiang, Hu Min, Ying Gao 0004, C. K. Tse	Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age.	Neural Comput. Appl.	2023	DBLP DOI BibTeX RDF
16	I-Fang Su, Yu-Chi Chung, Chiang Lee, Pin-Man Huang	Effective PM2.5 concentration forecasting based on multiple spatial-temporal GNN for areas without monitoring stations.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
16	Young Su Lee, Eunhwa Choi, Minjae Park, Hyeri Jo, Manho Park, Eunjung Nam, Dai Gon Kim, Seung-Muk Yi, Jae Young Kim	Feature extraction and prediction of fine particulate matter (PM2.5) chemical constituents using four machine learning models.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
16	Hongtao Li, Yang Yu 0049, Zhipeng Huang 0004, Shaolong Sun, Xiaoyan Jia	A multi-step ahead point-interval forecasting system for hourly PM2.5 concentrations based on multivariate decomposition and kernel density estimation.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
16	Erbiao Yuan, Guangfei Yang	SA-EMD-LSTM: A novel hybrid method for long-term prediction of classroom PM2.5 concentration.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
16	Mingying Zhu, Jie Xie	Investigation of nearby monitoring station for hourly PM2.5 forecasting using parallel multi-input 1D-CNN-biLSTM.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
16	Jiaqi Zhou 0014, Tingming Wu, Xiaobing Yu, Xuming Wang	A decomposition and ensemble model based on GWO and Differential Evolution algorithm for PM2.5 concentration forecasting.	J. Intell. Fuzzy Syst.	2023	DBLP DOI BibTeX RDF
16	Kunkun Fan, Daichao Li, Cong Li, Xinlei Jin, Fei Ding, Zhan Zeng	Analysis of PM2.5 Synergistic Governance Path from a Socio-Economic Perspective: A Case Study of Guangdong Province.	ISPRS Int. J. Geo Inf.	2023	DBLP DOI BibTeX RDF
16	Usharani Bhimavarapu, M. Sreedevi	An enhanced loss function in deep learning model to predict PM2.5 in India.	Intell. Decis. Technol.	2023	DBLP DOI BibTeX RDF
16	Rui Luo, Meng Zhang, Guodong Ma	Regional Representativeness Analysis of Ground-Monitoring PM2.5 Concentration Based on Satellite Remote Sensing Imagery and Machine Learning Techniques.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Zhangwen Su, Lin Lin 0010, Zhenhui Xu, Yimin Chen, Liming Yang, Honghao Hu, Zipeng Lin, Shujing Wei, Sisheng Luo	Modeling the Effects of Drivers on PM2.5 in the Yangtze River Delta with Geographically Weighted Random Forest.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Lili Xu, Binjie Chen, Chenhao Huang, Mengmeng Zhou, Shucheng You, Fangming Jiang, Weirong Chen, Jinsong Deng	Identifying PM2.5-Related Health Burden in the Context of the Integrated Development of Urban Agglomeration Using Remote Sensing and GEMM Model.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Xinyu Yu, Mengzhu Xi, Liyang Wu, Hui Zheng	Spatiotemporal Weighted for Improving the Satellite-Based High-Resolution Ground PM2.5 Estimation Using the Light Gradient Boosting Machine.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Qiming Fu 0005, Hong Guo, Xingfa Gu, Juan Li, Wenhao Zhang 0005, Xiaofei Mi, Qichao Zhao, Debao Chen	High-Resolution PM2.5 Concentrations Estimation Based on Stacked Ensemble Learning Model Using Multi-Source Satellite TOA Data.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Yu Ma, Wenhao Zhang 0005, Xiaoyang Chen, Lili Zhang, Qiyue Liu	High Spatial Resolution Nighttime PM2.5 Datasets in the Beijing-Tianjin-Hebei Region from 2015 to 2021 Using VIIRS/DNB and Deep Learning Model.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Jana Handschuh, Thilo Erbertseder, Frank Baier	Systematic Evaluation of Four Satellite AOD Datasets for Estimating PM2.5 Using a Random Forest Approach.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Dewinta Heriza, Chih-Da Wu, Muhammad Aldila Syariz, Chao-Hung Lin	Analysis of Spatial-Temporal Variability of PM2.5 Concentrations Using Optical Satellite Images and Geographic Information System.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Xinsheng Zhu, Chenyu Yao	Quasi-Biweekly Oscillation of PM2.5 in Winter over North China and Its Leading Circulation Patterns.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Md Sariful Islam, Shimul Roy, Tanmoy Roy Tusher, Mizanur Rahman, Ryley C. Harris	Assessment of Spatio-Temporal Variations in PM2.5 and Associated Long-Range Air Mass Transport and Mortality in South Asia.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Jianqiong Deng, Shi Qiu 0002, Yu Zhang, Haodong Cui, Kun Li, Hongjia Cheng, Zhaoyan Liu, Xianhui Dou, Yonggang Qian	Estimating Nighttime PM2.5 Concentration in Beijing Based on NPP/VIIRS Day/Night Band.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Zhongyan Tian, Jing Wei 0001, Zhanqing Li	How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM2.5 Using Machine Learning?	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Wenhao Chu, Chunxiao Zhang, Heng Li 0011	Bridging the Data Gap: Enhancing the Spatiotemporal Accuracy of Hourly PM2.5 Concentration through the Fusion of Satellite-Derived Estimations and Station Observations.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Shuoshuo Li, Guoen Wei, Yaobin Liu, Ling Bai	Multi-Scale Analysis of PM2.5 Concentrations in the Yangtze River Economic Belt: Investigating the Combined Impact of Natural and Human Factors.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Yu Ma, Wenhao Zhang 0005, Lili Zhang, Xingfa Gu, Tao Yu	Estimation of Ground-Level PM2.5 Concentration at Night in Beijing-Tianjin-Hebei Region with NPP/VIIRS Day/Night Band.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Odbaatar Enkhjargal, Munkhnasan Lamchin, Jonathan Chambers, Xue-Yi You	Linear and Nonlinear Land Use Regression Approach for Modelling PM2.5 Concentration in Ulaanbaatar, Mongolia during Peak Hours.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Haoze Shi, Naisen Yang, Xin Yang, Hong Tang 0005	Clarifying Relationship between PM2.5 Concentrations and Spatiotemporal Predictors Using Multi-Way Partial Dependence Plots.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Bo Li 0005, Cheng Liu 0005, Qihou Hu, Mingzhai Sun, Chengxin Zhang, Yizhi Zhu, Ting Liu, Yike Guo, Gregory R. Carmichael, Meng Gao	A Deep Learning Approach to Increase the Value of Satellite Data for PM2.5 Monitoring in China.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Huanhuan Shao, Hui Li, Shikuan Jin, Ruonan Fan, Weiyan Wang, Boming Liu, Yingying Ma, Ruyi Wei, Wei Gong 0004	Exploring the Conversion Model from Aerosol Extinction Coefficient to PM1, PM2.5 and PM10 Concentrations.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Wenjia Ni, Yu Ding, Siwei Li, Mengfan Teng, Jie Yang	Estimation of Daily Seamless PM2.5 Concentrations with Climate Feature in Hubei Province, China.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Junwei Wang, Kun Gao, Xiuqing Hu, Xiaodian Zhang, Hong Wang 0025, Zibo Hu, Zhijia Yang, Peng Zhang 0024	PM2.5 Estimation in Day/Night-Time from Himawari-8 Infrared Bands via a Deep Learning Neural Network.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Hongmei Yang, Yanqi Liu, Xiaoqiu Jiang, Xinqi Gong	Quantitative anatomy of characteristics and influencing factors of PM2.5 and O3 in Liaoning province of China.	Commun. Inf. Syst.	2023	DBLP DOI BibTeX RDF
16	Anurag Barthwal, Debopam Acharya, Divya Lohani	Prediction and analysis of particulate matter (PM2.5 and PM10) concentrations using machine learning techniques.	J. Ambient Intell. Humaniz. Comput.	2023	DBLP DOI BibTeX RDF
16	Yuan Huang, Xiaoyu Zhang, Yanxia Li	A Novel Hybrid Model for PM2.5 Concentration Forecasting Based on Secondary Decomposition Ensemble and Weight Combination Optimization.	IEEE Access	2023	DBLP DOI BibTeX RDF
16	Natch Sirisumpun, Kritchart Wongwailikhit, Pisut Painmanakul, Peerapon Vateekul	Spatio-Temporal PM2.5 Forecasting in Thailand Using Encoder-Decoder Networks.	IEEE Access	2023	DBLP DOI BibTeX RDF
16	Qian Yang, Xinlei Zhang, Qing Luan, Shuai Sun, Yongqiang Zhao, Chenggege Fang, Xiaonan Mi, Mengwei Li	Optimization of Hourly PM2.5 Inversion Model Integrating Upper-Air Meteorological Elements.	IEEE Access	2023	DBLP DOI BibTeX RDF
16	Toni Toharudin, Rezzy Eko Caraka, Indah Reski Pratiwi, Yunho Kim, Prana Ugiana Gio, Anjar Dimara Sakti, Maengseok Noh, Farid Azhar Lutfi Nugraha, Resa Septiani Pontoh, Tafia Hasna Putri, Thalita Safa Azzahra, Jessica Jesslyn Cerelia, Gumgum Darmawan, Bens Pardamean	Boosting Algorithm to Handle Unbalanced Classification of PM2.5 Concentration Levels by Observing Meteorological Parameters in Jakarta-Indonesia Using AdaBoost, XGBoost, CatBoost, and LightGBM.	IEEE Access	2023	DBLP DOI BibTeX RDF
16	Kudaibergen Abutalip, Anas Al-Lahham, Abdulmotaleb El-Saddik	Digital Twin of Atmospheric Environment: Sensory Data Fusion for High-Resolution PM2.5 Estimation and Action Policies Recommendation.	IEEE Access	2023	DBLP DOI BibTeX RDF
16	Junzi Yang, Ajune Wanis Ismail, Yingying Li, Limin Zhang, Fazliaty Edora Fadzli	Transfer Learning-Driven Hourly PM2.5 Prediction Based on a Modified Hybrid Deep Learning.	IEEE Access	2023	DBLP DOI BibTeX RDF
16	Vipasha Sharma, Swagata Ghosh, Sagnik Dey, Sultan Singh	Modelling PM2.5 for Data-Scarce Zone of Northwestern India using Multi Linear Regression and Random Forest Approaches.	Ann. GIS	2023	DBLP DOI BibTeX RDF
16	Hong Yang, Han Zhang	A Novel PM2.5 Concentration Forecasting Method Based on LFIG_DTW_HC Algorithm and Generalized Additive Model.	Axioms	2023	DBLP DOI BibTeX RDF
16	Ning Liu 0002, Bin Zou 0003, Yi Li, Sha Li, Shenxin Li, Jian Wu, Jun Chen	An Efficient and Accurate Model Coupled With Spatiotemporal Kalman Filter and Linear Mixed Effect for Hourly PM2.5 Mapping.	IEEE Trans. Geosci. Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Debao Chen, Hong Guo, Xingfa Gu, Tianhai Cheng, Jian Yang, Yulin Zhan, Xiangqin Wei	A Spatial Neighborhood Deep Neural Network Model for PM2.5 Estimation Across China.	IEEE Trans. Geosci. Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Tshepang Duncan Morapedi, Ibidun Christiana Obagbuwa	Air pollution particulate matter (PM2.5) prediction in South African cities using machine learning techniques.	Frontiers Artif. Intell.	2023	DBLP DOI BibTeX RDF
16	Xiaoxia Zhang, Qixiong Li, Dong Liang	An adaptive spatio-temporal neural network for PM2.5 concentration forecasting.	Artif. Intell. Rev.	2023	DBLP DOI BibTeX RDF
16	Wenyan Yuan, Hongchuan Du, Jieyi Li, Ling Li	A Multi-Scale Method for PM2.5 Forecasting with Multi-Source Big Data.	J. Syst. Sci. Complex.	2023	DBLP DOI BibTeX RDF
16	Bo Zhang, Yuan Liu, Ruihan Yong, Guojian Zou, Ru Yang, Jianguo Pan, Maozhen Li 0001	A spatial correlation prediction model of urban PM2.5 concentration based on deconvolution and LSTM.	Neurocomputing	2023	DBLP DOI BibTeX RDF
16	Anibal Flores, Hugo Tito-Chura, Deymor Centty-Villafuerte, Alejandro Manuel Ecos Espino	Pm2.5 Time Series Imputation with Deep Learning and Interpolation.	Comput.	2023	DBLP DOI BibTeX RDF
16	Panli Tang, Yongjiu Feng, Xiaohua Tong, Mengrong Xi, Pengshuo Li, Shurui Chen, Rong Wang, Xiong Xu, Chao Wang 0092, Peng Chen 0025	Pixel-Level Projection of PM2.5 Using Landsat Images and Cellular Automata Models in the Yangtze River Delta, China.	IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.	2023	DBLP DOI BibTeX RDF
16	Ming-Chuan Yang, Meng Chang Chen	Composite Neural Network: Theory and Application to PM2.5 Prediction.	IEEE Trans. Knowl. Data Eng.	2023	DBLP DOI BibTeX RDF
16	Ali Mirzaei, Hossein Bagheri, Mehran Sattari	Data level and decision level fusion of satellite multi-sensor AOD retrievals for improving PM2.5 estimations, a study on Tehran.	CoRR	2023	DBLP DOI BibTeX RDF
16	Andri Pranolo, Yingchi Mao, Aji Prasetya Wibawa, Agung Bella Putra Utama, Felix Andika Dwiyanto	Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction.	CoRR	2023	DBLP DOI BibTeX RDF
16	Kyleen Liao, Jatan Buch, Kara Lamb, Pierre Gentine	Simulating the Air Quality Impact of Prescribed Fires Using a Graph Neural Network-Based PM2.5 Emissions Forecasting System.	CoRR	2023	DBLP DOI BibTeX RDF
16	Narendran Sobanapuram Muruganandam, Umamakeswari Arumugam	Dynamic Ensemble Multivariate Time Series Forecasting Model for PM2.5.	Comput. Syst. Sci. Eng.	2023	DBLP DOI BibTeX RDF
16	Xiaoxia Zhang, Hao Gan	STF-Net: An improved depth network based on spatio-temporal data fusion for PM2.5 concentration prediction.	Future Gener. Comput. Syst.	2023	DBLP DOI BibTeX RDF
16	Liyuan Jiang, Zhifu Tao, Jiaming Zhu, Junting Zhang, Huayou Chen	Exploiting PSO-SVM and sample entropy in BEMD for the prediction of interval-valued time series and its application to daily PM2.5 concentration forecasting.	Appl. Intell.	2023	DBLP DOI BibTeX RDF
16	Weifu Ding, Huihui Sun	Prediction of PM2.5 concentration based on the weighted RF-LSTM model.	Earth Sci. Informatics	2023	DBLP DOI BibTeX RDF
16	Ali Mirzaei, Hossein Bagheri, Mehran Sattari	Data level and decision level fusion of satellite multi-sensor AOD retrievals for improving PM2.5 estimations, a study on Tehran.	Earth Sci. Informatics	2023	DBLP DOI BibTeX RDF
16	Jordan Limperis, Weitian Tong, Felix Hamza-Lup, Lixin Li	PM2.5 forecasting based on transformer neural network and data embedding.	Earth Sci. Informatics	2023	DBLP DOI BibTeX RDF
16	Qingjian Ni, Yuhui Wang, Jiayi Yuan	Adaptive scalable spatio-temporal graph convolutional network for PM2.5 prediction.	Eng. Appl. Artif. Intell.	2023	DBLP DOI BibTeX RDF
16	Kai Fan, Ranil Dhammapala, Kyle Ira Harrington, Brian Lamb, Yunha Lee	Machine learning-based ozone and PM2.5 forecasting: Application to multiple AQS sites in the Pacific Northwest.	Frontiers Big Data	2023	DBLP DOI BibTeX RDF
16	P. R. Gokul, Aneesh Mathew, Avadhoot Bhosale, Abhilash Nair	Spatio-temporal air quality analysis and PM2.5 prediction over Hyderabad City, India using artificial intelligence techniques.	Ecol. Informatics	2023	DBLP DOI BibTeX RDF
16	Martina Casari, Laura Po, Leonardo Zini	AirMLP: A Multilayer Perceptron Neural Network for Temporal Correction of PM2.5 Values in Turin.	Sensors	2023	DBLP DOI BibTeX RDF
16	Lance Wallace, Tongke Zhao	Spatial Variation of PM2.5 Indoors and Outdoors: Results from 261 Regulatory Monitors Compared to 14, 000 Low-Cost Monitors in Three Western States over 4.7 Years.	Sensors	2023	DBLP DOI BibTeX RDF
16	Lance Wallace, Wayne Ott	Long-Term Indoor-Outdoor PM2.5 Measurements Using PurpleAir Sensors: An Improved Method of Calculating Indoor-Generated and Outdoor-Infiltrated Contributions to Potential Indoor Exposure.	Sensors	2023	DBLP DOI BibTeX RDF
16	Jean-Baptiste Renard, Eric Poincelet, Isabella Annesi-Maesano, Jérémy Surcin	Spatial Distribution of PM2.5 Mass and Number Concentrations in Paris (France) from the Pollutrack Network of Mobile Sensors during 2018-2022.	Sensors	2023	DBLP DOI BibTeX RDF
16	Ye Fei, Jie Liao, Zhisen Zhang	Consistency and Discrepancy between Visibility and PM2.5 Measurements: Potential Application of Visibility Observation to Air Quality Study.	Sensors	2023	DBLP DOI BibTeX RDF