Supervised Convolutional Neural Networks for Classification of Flaring and Nonflaring Active Regions Using Line-of-sight Magnetograms S Bhattacharjee, R Alshehhi, DB Dhuri, SM Hanasoge The Astrophysical Journal 898 (2), 98, 2020 | 34 | 2020 |
Numerical analysis of the lattice Boltzmann method for simulation of linear acoustic waves DB Dhuri, SM Hanasoge, P Perlekar, JOA Robertsson Physical Review E 95 (4), 043306, 2017 | 22 | 2017 |
Machine learning reveals systematic accumulation of electric current in lead-up to solar flares DB Dhuri, SM Hanasoge, MCM Cheung Proceedings of the National Academy of Sciences 116 (23), 11141-11146, 2019 | 14 | 2019 |
FlareNet: A Deep Learning Framework for Solar Phenomena Prediction S McGregor, D Dhuri, A Berea, A Muñoz-Jaramillo Workshop on Deep Learning for Physical Sciences (DLPS 2017), NIPS 2017, 0 | 12* | |
Diurnal variation of the surface temperature of Mars with the Emirates Mars Mission: A comparison with Curiosity and Perseverance rover measurements D Atri, N Abdelmoneim, DB Dhuri, M Simoni Monthly Notices of the Royal Astronomical Society: Letters 518 (1), L1-L6, 2023 | 11 | 2023 |
Application and interpretation of deep learning for identifying pre-emergence magnetic-field patterns DB Dhuri, SM Hanasoge, AC Birch, H Schunker The Astrophysical Journal 903 (1), 27, 2020 | 9 | 2020 |
A serverless computing architecture for Martian aurora detection with the Emirates Mars Mission D Pacios, JL Vázquez-Poletti, DB Dhuri, D Atri, R Moreno-Vozmediano, ... Scientific reports 14 (1), 3029, 2024 | 8 | 2024 |
Auroras on mars: From discovery to new developments D Atri, DB Dhuri, M Simoni, KR Sreenivasan The European Physical Journal D 76 (12), 235, 2022 | 7 | 2022 |
Measuring frequency and period separations in red-giant stars using machine learning S Dhanpal, O Benomar, S Hanasoge, A Kundu, D Dhuri, D Das, B Kaul The Astrophysical Journal 928 (2), 188, 2022 | 6 | 2022 |
Deep-learning reconstruction of sunspot vector magnetic fields for forecasting solar storms DB Dhuri, S Bhattacharjee, SM Hanasoge, SK Mahapatra The Astrophysical Journal 939 (2), 64, 2022 | 4 | 2022 |
The Atlas of Mars: A Photographic Atlas Prepared with Observations from the Emirates Mars Mission, Or" HOPE"(AL-AMAL) D Atri, A Alhantoobi, K Fialova, SP Singh, D Dhuri, N Abdelmoneim New York University Abu Dhabi (NYUAD) Center for Space Science, 2021 | 2 | 2021 |
Discrete Auroras on Mars: Insights from EMM/EMUS Observations During Mars Years 36 and 37 D Atri, DB Dhuri LPI Contributions 3007, 3256, 2024 | | 2024 |
An Explainable Deep-learning Model of Proton Auroras on Mars DB Dhuri, D Atri, A AlHantoobi The Planetary Science Journal 5 (6), 136, 2024 | | 2024 |
Expanding Mars’s Climate Modeling: Interpretable Machine Learning for Modeling Mars Science Laboratory Relative Humidity N Abdelmoneim, DB Dhuri, D Atri, G Martínez The Planetary Science Journal 5 (4), 86, 2024 | | 2024 |
Application of machine learning for modeling and characterizing electron and proton auroras on Mars D Dhuri, D Atri, S Hseih EGU General Assembly Conference Abstracts, 14121, 2024 | | 2024 |
VizieR Online Data Catalog: Seismic parameters of Kepler red giant stars (Dhanpal+, 2022) S Dhanpal, O Benomar, S Hanasoge, A Kundu, D Dhuri, D Das, B Kaul VizieR Online Data Catalog 192, J/ApJ/928/188, 2024 | | 2024 |
A search for biosignatures in the atmosphere of Mars with EMM/EMIRS D Atri, N Abdelmoneim, D Dhuri, G Krishnan, J Lee AGU Fall Meeting Abstracts 2023 (2753), P51F-2753, 2023 | | 2023 |
Statistical analyses and a comprehensive data-driven machine learning model of proton auroras on Mars D Dhuri, D Atri, A Alhantoobi AGU Fall Meeting Abstracts 2023 (2732), P51D-2732, 2023 | | 2023 |
Expanding Mars climate modeling: Interpretable machine learning for modeling relative humidity utilizing Curiosity rover measurements at Gale Crater (Mars) N Abdelmoneim, D Dhuri, D Atri, G Martinez AGU Fall Meeting Abstracts 2023, P54A-08, 2023 | | 2023 |
Expanding Mars Climate Modeling: Interpretable Machine Learning for Modeling MSL Relative Humidity N Abdelmoneim, DB Dhuri, D Atri, G Martínez arXiv preprint arXiv:2309.01424, 2023 | | 2023 |