PM2.5 Air Pollution Prediction through Deep Learning Using Multisource Meteorological, Wildfire, and Heat Data

Autor: Pratyush Muthukumar, Kabir Nagrecha, Dawn Comer, Chisato Fukuda Calvert, Navid Amini, Jeanne Holm, Mohammad Pourhomayoun

Publikováno v: Atmosphere, Vol 13, Iss 5, p 822 (2022)

Air pollution is a lethal global threat. To mitigate the effects of air pollution, we must first understand it, find its patterns and correlations, and predict it in advance. Air pollution is highly dependent on spatial and temporal correlations of p

Externí odkaz: https://doaj.org/article/9b42fb4760414074acb8836024cbeab8

Measurement of the Inner Macular Layers for Monitoring of Glaucoma

Autor: Leila Chew, Vahid Mohammadzadeh, Massood Mohammadi, Veronica Toriz, Nancy Rosa, Michael B. Gorin, Navid Amini, Kouros Nouri-Mahdavi

Publikováno v: Ophthalmology Glaucoma. 6:68-77

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e9fe0b02c8ae331be97602e1cc2c2398
https://doi.org/10.1016/j.ogla.2022.06.006

Assessment of the impact of noise magnitude and bandwidth variations on a probabilistic inversion of reflection seismic data

Autor: Hamed Amini, Navid Amini, Hamed Heidari, Thomas Mejer Hansen, Rasmus Bødker Madsen, Mohammad Emami Niri

Publikováno v: Heidari, H, Madsen, R B, Amini, H, Hansen, T M, Emami-Niri, M & Amini, N 2023, ' Assessment of the impact of noise magnitude and bandwidth variations on a probabilistic inversion of reflection seismic data ', Geophysical Prospecting, vol. 71, no. 3, pp. 443-455 . https://doi.org/10.1111/1365-2478.13312

Accounting for an accurate noise model is essential when dealing with real data, which are noisy due to the effect of environmental noise, failures and limitations in data acquisition and processing. Quantifying the noise model is a challenge for pra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d009ed74712affd439992a50514c29f
https://pure.au.dk/portal/da/publications/assessment-of-the-impact-of-noise-magnitude-and-bandwidth-variations-on-a-probabilistic-inversion-of-reflection-seismic-data(324d0396-7c77-4790-ba21-4186086c1dfa).html

Global stochastic seismic inversion using turning bands simulation and co-simulation

Autor: Mehdi Sadeghi, Reza Falahat, Navid Amini, Hamid Sabeti, Nasser Madani

Publikováno v: Acta Geophysica. 69:1717-1734

In this study, we develop a 3D geostatistical seismic inversion method based on turning bands simulation and co-simulation to estimate acoustic impedance (AI) from seismic and well data. The proposed method uses an iterative approach based on cross-o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::200ab775334703073aab7a43dbddafa9
https://doi.org/10.1007/s11600-021-00648-9

Single-step probabilistic inversion of 3D seismic data of a carbonate reservoir in Southwest Iran

Autor: Hamed Heidari, Thomas Mejer Hansen, Hamed Amini, Mohammad Emami Niri, Rasmus Bødker Madsen, Navid Amini

Publikováno v: Heidari, A, Hansen, T M, Amini, H, Niri, M E, Madsen, R B & Amini, N 2022, ' Single-step probabilistic inversion of 3D seismic data of a carbonate reservoir in Southwest Iran ', Geophysics, vol. 87, no. 2 . https://doi.org/10.1190/geo2021-0303.1
Heidari, A, Hansen, T M, Amini, H, Niri, M E, Madsen, R B & Amini, N 2022, ' Single-step probabilistic inversion of 3D seismic data of a carbonate reservoir in Southwest Iran ', Geophysics . https://doi.org/10.1190/geo2021-0303.1

We use a sampling-based Markov chain Monte Carlo method to invert seismic data directly for porosity and quantify its uncertainty distribution in a hard-rock carbonate reservoir in Southwest Iran. The noise that remains on seismic data after the proc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b749c15d35ff127d69cb5731c79314d
https://pure.au.dk/portal/da/publications/singlestep-probabilistic-inversion-of-3d-seismic-data-of-a-carbonate-reservoir-in-southwest-iran(108db80e-c742-4680-9c7e-1183d566bcc3).html