Zobrazeno 1 - 10 of 20 pro vyhledávání: '"Parisa Asadi"'
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Akademický článek
Integrating Machine/Deep Learning Methods and Filtering Techniques for Reliable Mineral Phase Segmentation of 3D X-ray Computed Tomography Images
Autor: Parisa Asadi, Lauren E. Beckingham
Publikováno v: Energies, Vol 14, Iss 15, p 4595 (2021)
X-ray CT imaging provides a 3D view of a sample and is a powerful tool for investigating the internal features of porous rock. Reliable phase segmentation in these images is highly necessary but, like any other digital rock imaging technique, is time
Externí odkaz: https://doaj.org/article/678bc61dd81647a1bdb03c06b5a73361
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Role of Mineralogy in Controlling Fracture Formation
Autor: Lauren E. Beckingham, Lawrence M. Anovitz, Parisa Asadi, Olivia M. Brunhoeber
Publikováno v: ACS Earth and Space Chemistry. 5:3104-3114
The presence of fractures in caprocks can pose increased risks in subsurface energy systems and processes like CO2 sequestration by introducing high-permeability leakage paths. Fracture apertures a...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6ad65986f8366a5ae7b58fb86ed3dc67
https://doi.org/10.1021/acsearthspacechem.1c00219
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9
Akademický článek
Adherence to the nordic diet is associated with anxiety, stress, and depression in recovered COVID-19 patients, a case-control study
Autor: Asie Araste, Mohammad Reza Shadmand Foumani Moghadam, Kimia Mohammadhasani, Mohammad Vahedi Fard, Zahra Khorasanchi, MohammadReza Latifi, Elahe Hasanzadeh, Nasrin Talkhi, Payam Sharifan, Parisa Asadiyan-Sohan, Marjan Khayati Bidokhti, Arezoo Ghassemi, Reza Assaran Darban, Gordon Ferns, Majid Ghayour-Mobarhan
Publikováno v: BMC Nutrition, Vol 10, Iss 1, Pp 1-8 (2024)
Abstract Background Follow-up of COVID-19 recovered patients to discover important adverse effects on other organs is required. The psychological health of COVID-19 patients may be affected after recovery. Aim We aimed to evaluate the association bet
Externí odkaz: https://doaj.org/article/9534f985d8134ae3ae1bb54f106a906c
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10
A Climate Smart Framework for Forecasting Field-level Potential Evapotranspiration and Irrigation Requirement with Numerical Weather Predictions and Satellite Remote Sensing
Autor: Parisa Asadi, Hanoi Medina, Brenda V. Ortiz, Isaya Kesikka, Di Tian
A key challenge for climate-smart water management is timely and reliably forecasting potential evapotranspiration (ETc) and irrigation water requirement (IWR) at field level with high spatial and temporal resolution. In this study, we develop a fram
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0c3f25431c0ff5a0b31a4d5b05c9c944
https://doi.org/10.5194/egusphere-egu2020-11756
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