Jeanne Holm
University of California, Los Angeles
H-index: 14
North America-United States
Top articles of Jeanne Holm
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Advanced Information Systems Technology (AIST) 2023 Annual Review: Earth Systems Digital Twins (ESDT) | Jacqueline Le Moigne Craig Pelissier Thomas Allen Arlindo da Silva Rajat Bindlish | 2023/6/23 | |
Global High-Resolution PM2. 5 Prediction Applying Multisource Big Data through Deep Convolutional LSTM | AGU Fall Meeting Abstracts | Pratyush Muthukumar Shaurya Pathak Kabir Nagrecha Hirad Hosseini Ryan Dunning | 2022/12 |
Digital Twin Cities for Air Quality Simulation | AGU Fall Meeting Abstracts | Hirad Hosseini Kabir Nagrecha Pratyush Muthukumar Shaurya Pathak Ryan Dunning | 2022/12 |
An Advanced Open-Source Platform for Air Quality Analysis, Visualization, and Prediction | Thomas Huang Nga Chung Alex Dunn Erik Hovland Jason Kang | 2022/7/17 | |
PM2. 5 Air Pollution Prediction through Deep Learning Using Multisource Meteorological, Wildfire, and Heat Data | Journal of Cleaner Production | Deepti Shakya Vishal Deshpande Manish Kumar Goyal Mayank Agarwal | 2023/11/15 |
Multi-Pollutant Ground-level Air Pollution Prediction through Deep MeteoGCN-ConvLSTM | Pratyush Muthukumar Shaurya Pathak Kabir Nagrecha Hirad Hosseini Dawn Comer | 2022/12/14 | |
From an Analytic Collaborative Framework to an Earth System Digital Twin for Air Quality Analysis | AGU Fall Meeting Abstracts | Thomas Huang Alexander E Dunn Sina Hasheminassab Olga V Kalashnikova Jason Kang | 2022/12 |
AQACF: A Platform for Air Quality Analysis, Visualization, and Prediction | AGU Fall Meeting Abstracts | Thomas Huang Nga Chung Alexander Dunn Kristal Verhulst Jeanne Holm | 2021/12 |
Predicting PM2. 5 Air Pollution using Deep Learning with Multisource Satellite and Ground-based Observations and Meteorological and Wildfire Big Data | AGU Fall Meeting Abstracts | Pratyush Muthukumar Kabir Nagrecha Emmanuel Cocom Dawn Comer Irene Burga | 2021/12 |
Predicting PM2. 5 atmospheric air pollution using deep learning with meteorological data and ground-based observations and remote-sensing satellite big data | Air Quality, Atmosphere & Health | Pratyush Muthukumar Emmanuel Cocom Kabir Nagrecha Dawn Comer Irene Burga | 2021/11/23 |
Real-time spatiotemporal air pollution prediction with deep convolutional lstm through satellite image analysis | Pratyush Muthukumar Emmanuel Cocom Jeanne Holm Dawn Comer Anthony Lyons | 2020/7/27 | |
Creating Global Digital Twins to Improve Air Quality and COVID Outcomes | AGU Fall Meeting Abstracts | Jeanne Holm Jacqueline Le Moigne Marge Cole Mohammad Pourhomayoun Dawn Comer | 2021/12 |
Satellite Image Atmospheric Air Pollution Prediction through Meteorological Graph Convolutional Network with Deep Convolutional LSTM | Pratyush Muthukumar Emmanuel Cocom Kabir Nagrecha Jeanne Holm Dawn Comer | 2020/12/18 | |
Real-Time Spatiotemporal NO2 Air Pollution Prediction with Deep Convolutional LSTM through Satellite Image Analytics | AGU Fall Meeting Abstracts | Pratyush Muthukumar Emmanuel Cocom Jeanne Holm Dawn Comer Anthony Lyons | 2020/12 |
Particulate Matter Forecasting in Los Angeles County with Sparse Ground-Based Sensor Data Analytics | AGU Fall Meeting Abstracts | Emmanuel Cocom Pratyush Muthukumar Jeanne Holm Dawn Comer Anthony Lyons | 2020/12 |
COVID-19 Risk Estimation using a Time-varying SIR-model | Mehrdad Kiamari Gowri Ramachandran Quynh Nguyen Eva Pereira Jeanne Holm | 2020/11/3 | |
Sensor-Based Air Pollution Prediction Using Deep CNN-LSTM | Kabir Nagrecha Pratyush Muthukumar Emmanuel Cocom Jeanne Holm Dawn Comer | 2020/12/18 |
Co-Authors
