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Mahsa Payami

Showing results (1-10 of 4) with videos related to

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Environmental Pollution (Barking, Essex : 1987)|March 16, 2025
Potential impact of vehicle electrification on greenhouse gases and criteria pollutants in 2035: A scenario-based well-to-wheel analysis for New York City, Los Angeles, Chicago, and Houston using GREET-MOVES integrationMahsa Payami, Seyedali Mousavinezhad, Yunsoo Choi, et al.
The Science of the Total Environment|September 14, 2025
Emulating CMAQ using deep learning: A comparative study on simulating surface NO<sub>2</sub>, O<sub>3</sub>, and PM<sub>2.5</sub> over the CONUS using the EQUATES datasetMahsa Payami, Yunsoo Choi, Sagun Gopal Kayastha, et al.
Environmental Science and Pollution Research International|July 11, 2021
Evaluation of energy and electrode consumption of Acid Red 18 removal using electrocoagulation process through RSM: alternating and direct currentMahsa Payami Shabestar, Mohammad Reza Alavi Moghaddam, Elnaz Karamati-Niaragh
The Science of the Total Environment|February 27, 2026
Advances in air quality modeling through artificial intelligence, machine learning, and deep learning: A comprehensive reviewDelaney Nelson, Yunsoo Choi, Mahsa Payami, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Environmental Pollution (Barking, Essex : 1987)|March 16, 2025
Potential impact of vehicle electrification on greenhouse gases and criteria pollutants in 2035: A scenario-based well-to-wheel analysis for New York City, Los Angeles, Chicago, and Houston using GREET-MOVES integrationMahsa Payami, Seyedali Mousavinezhad, Yunsoo Choi, et al.
The Science of the Total Environment|September 14, 2025
Emulating CMAQ using deep learning: A comparative study on simulating surface NO<sub>2</sub>, O<sub>3</sub>, and PM<sub>2.5</sub> over the CONUS using the EQUATES datasetMahsa Payami, Yunsoo Choi, Sagun Gopal Kayastha, et al.
Environmental Science and Pollution Research International|July 11, 2021
Evaluation of energy and electrode consumption of Acid Red 18 removal using electrocoagulation process through RSM: alternating and direct currentMahsa Payami Shabestar, Mohammad Reza Alavi Moghaddam, Elnaz Karamati-Niaragh
The Science of the Total Environment|February 27, 2026
Advances in air quality modeling through artificial intelligence, machine learning, and deep learning: A comprehensive reviewDelaney Nelson, Yunsoo Choi, Mahsa Payami, et al.
Pageof 1