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Geographically Weighted Machine Learning and Downscaling for High-Resolution Spatiotemporal Estimations of Wind Speed

Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (11), p.1378

Li, Lianfa

2019

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A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (2), p.264

Li, Lianfa

2020

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Deep Residual Autoencoder with Multiscaling for Semantic Segmentation of Land-Use Images

Remote sensing (Basel, Switzerland), 2019-09, Vol.11 (18), p.2142

Li, Lianfa

2019

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Geographic Graph Network for Robust Inversion of Particulate Matters

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (21), p.4341

Li, Lianfa

2021

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High-Resolution Mapping of Aerosol Optical Depth and Ground Aerosol Coefficients for Mainland China

Remote sensing (Basel, Switzerland), 2021-06, Vol.13 (12), p.2324

Li, Lianfa

2021

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Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks

Remote sensing of environment, 2021-03, Vol.254, p.112257, Article 112257

2021

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Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.492

Li, Lianfa

2020

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Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation

Remote sensing (Basel, Switzerland), 2020-09, Vol.12 (18), p.2932

2020

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A spatiotemporal mixed model to assess the influence of environmental and socioeconomic factors on the incidence of hand, foot and mouth disease

BMC public health, 2018-02, Vol.18 (1), p.274-274, Article 274

2018

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Geocomplexity Statistical Indicator to Enhance Multiclass Semantic Segmentation of Remotely Sensed Data with Less Sampling Bias

Remote sensing (Basel, Switzerland), 2024-06, Vol.16 (11), p.1987

2024

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Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke

Environment international, 2020-12, Vol.145, p.106143-106143, Article 106143

2020

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Multiscale Entropy-Based Surface Complexity Analysis for Land Cover Image Semantic Segmentation

Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (8), p.2192

2023

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Sources and contents of air pollution affecting term low birth weight in Los Angeles County, California, 2001–2008

Environmental research, 2014-10, Vol.134, p.488-495

2014

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Geoscience-aware deep learning: A new paradigm for remote sensing

Science of Remote Sensing, 2022-06, Vol.5, p.100047, Article 100047

2022

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Environmental Determinants of Aggression in Adolescents: Role of Urban Neighborhood Greenspace

Journal of the American Academy of Child and Adolescent Psychiatry, 2016-07, Vol.55 (7), p.591-601

2016

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Refining Time-Activity Classification of Human Subjects Using the Global Positioning System

PloS one, 2016-02, Vol.11 (2), p.e0148875-e0148875

2016

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Long-Term Ambient Temperature and Externalizing Behaviors in Adolescents

American journal of epidemiology, 2018-09, Vol.187 (9), p.1931-1941

2018

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Generating Fine-Scale Aerosol Data through Downscaling with an Artificial Neural Network Enhanced with Transfer Learning

Atmosphere, 2022-02, Vol.13 (2), p.255

2022

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Use of generalized additive models and cokriging of spatial residuals to improve land-use regression estimates of nitrogen oxides in Southern California

Atmospheric environment (1994), 2012-08, Vol.55, p.220-228

2012

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Modeling the Concentrations of On-Road Air Pollutants in Southern California

Environmental science & technology, 2013-08, Vol.47 (16), p.9291-9299

2013

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Cluster-based bagging of constrained mixed-effects models for high spatiotemporal resolution nitrogen oxides prediction over large regions

Environment international, 2019-07, Vol.128, p.310-323

2019

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Estimating spatiotemporal variability of ambient air pollutant concentrations with a hierarchical model

Atmospheric environment (1994), 2013-06, Vol.71, p.54-63

2013

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Exposure measurement error in air pollution studies: A framework for assessing shared, multiplicative measurement error in ensemble learning estimates of nitrogen oxides

Environment international, 2019-04, Vol.125, p.97-106

2019

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Source characterization and exposure modeling of gas-phase polycyclic aromatic hydrocarbon (PAH) concentrations in Southern California

Atmospheric environment (1994), 2018-03, Vol.177, p.175-186

2018

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Spatiotemporal estimation of historical PM 2.5 concentrations using PM 10 , meteorological variables, and spatial effect

Atmospheric environment (1994), 2017-10, Vol.166, p.182-191

2017

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Geographically Weighted Machine Learning and Downscaling for High-Resolution Spatiotemporal Estimations of Wind Speed

A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5

Deep Residual Autoencoder with Multiscaling for Semantic Segmentation of Land-Use Images

Geographic Graph Network for Robust Inversion of Particulate Matters

High-Resolution Mapping of Aerosol Optical Depth and Ground Aerosol Coefficients for Mainland China

Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks

Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation

Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation

A spatiotemporal mixed model to assess the influence of environmental and socioeconomic factors on the incidence of hand, foot and mouth disease

Geocomplexity Statistical Indicator to Enhance Multiclass Semantic Segmentation of Remotely Sensed Data with Less Sampling Bias

Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke

Multiscale Entropy-Based Surface Complexity Analysis for Land Cover Image Semantic Segmentation

Sources and contents of air pollution affecting term low birth weight in Los Angeles County, California, 2001–2008

Geoscience-aware deep learning: A new paradigm for remote sensing

Environmental Determinants of Aggression in Adolescents: Role of Urban Neighborhood Greenspace

Refining Time-Activity Classification of Human Subjects Using the Global Positioning System

Long-Term Ambient Temperature and Externalizing Behaviors in Adolescents

Generating Fine-Scale Aerosol Data through Downscaling with an Artificial Neural Network Enhanced with Transfer Learning

Use of generalized additive models and cokriging of spatial residuals to improve land-use regression estimates of nitrogen oxides in Southern California

Modeling the Concentrations of On-Road Air Pollutants in Southern California

Cluster-based bagging of constrained mixed-effects models for high spatiotemporal resolution nitrogen oxides prediction over large regions

Estimating spatiotemporal variability of ambient air pollutant concentrations with a hierarchical model

Exposure measurement error in air pollution studies: A framework for assessing shared, multiplicative measurement error in ensemble learning estimates of nitrogen oxides

Source characterization and exposure modeling of gas-phase polycyclic aromatic hydrocarbon (PAH) concentrations in Southern California

Spatiotemporal estimation of historical PM 2.5 concentrations using PM 10 , meteorological variables, and spatial effect

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