Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Mohammad Pourhomayoun"'
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
Autor:
Pratyush Muthukumar, Kabir Nagrecha, Jeremy Taub, Mohammad Pourhomayoun, Dawn Comer, Irene Burga, Jeanne Holm, Chisato Fukuda Calvert, Emmanuel Cocom
Publikováno v:
Air Quality, Atmosphere, & Health
Air pollution is one of the world's leading factors for early deaths. Every 5 s, someone around the world dies from the adverse health effects of air pollution. In order to mitigate the effects of air pollution, we must first understand it, find its
Autor:
Thomas Huang, Nga Chung, Alex Dunn, Erik Hovland, Jason Kang, Thomas Loubrieu, Jessica Neu, Joe Roberts, Sina Hasheminassab, Kevin Marlis, Liam Bindle, Lucas Estrada, Daniel Jacob, Randall Martin, Jeanne Holm, Mohammad Pourhomayoun, Daven Henze, Muhammad Omar Nawaz, Chaowei Yang, Qian Liu
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Autor:
Tonatiuh Rodriguez-Nikl, Mehran Mazari, Luis Fisher, Mohammad Pourhomayoun, Kabir Nagrecha, Michael A. Mooney
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2674:241-249
The earth pressure balance tunnel boring machine (TBM) is advanced excavation machinery used to efficiently drill through subsurface ground layers while placing precast concrete tunnel segments. They have become prevalent in tunneling projects becaus
Autor:
Mohammad Pourhomayoun, Mohammed Kuko
Publikováno v:
Information Systems Frontiers. 22:1039-1051
Cervical cancer if detected early has an upward of 89% survival rate. The leading tool in identifying cervical cancer in its infancy is the Papanicolaou (Pap smear) test, which since its introduction dropped cervical cancer related deaths by 60%. The
Autor:
Navid Amini, Robert D. Catena, Mahdi Pedram, Kouros Nouri-Mahdavi, Mohammad Pourhomayoun, Hassan Ghasemzadeh, Daniel Tarquinio, Zhila Esna Ashari, Yuchao Ma
Publikováno v:
IEEE Sensors Journal. 19:3751-3762
The utility of wearable sensors for continuous gait monitoring has grown substantially, enabling novel applications on mobility assessment in healthcare. Existing approaches for gait cycle detection rely on predefined or experimentally tuned platform
Autor:
Mohammad Pourhomayoun, Mahdi Shakibi
Publikováno v:
Smart Health
Smart Health (Amsterdam, Netherlands)
Smart Health (Amsterdam, Netherlands)
In the wake of COVID-19 disease, caused by the SARS-CoV-2 virus, we designed and developed a predictive model based on Artificial Intelligence (AI) and Machine Learning algorithms to determine the health risk and predict the mortality risk of patient
Autor:
Apoorva Mylavarapu, Veronica Toriz, Joseph Caprioli, Sepideh Heydarzadeh, Golnoush Mahmoudinezhad, Kouros Nouri-Mahdavi, Navid Amini, Vahid Mohammadzadeh, Mohammad Pourhomayoun, Esteban Morales
Publikováno v:
Ophthalmology. Glaucoma, vol 4, iss 2
Ophthalmol Glaucoma
Ophthalmol Glaucoma
PurposeTo compare local ganglion cell-inner plexiform layer (GCIPL) thickness measurements between 2 OCT devices and to explore factors that may influence the difference in measurements.DesignCross-sectional study.ParticipantsSixty-nine glaucoma eyes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1918e61c35c93ce3e9c661693cb7fcf4
https://escholarship.org/uc/item/07r3133m
https://escholarship.org/uc/item/07r3133m
Autor:
Mohammad Pourhomayoun, Mahdi Shakibi
Publikováno v:
Advances in Computer Vision and Computational Biology ISBN: 9783030710507
Covid-19 pandemic caused by the SARS-CoV-2 has claimed numerous lives around the world. We developed a novel predictive model based on machine learning algorithms to predict the mortality risk of patients with COVID-19. In this study, we used documen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::521f42e722492e47bf668f5f70ceb21b
https://doi.org/10.1007/978-3-030-71051-4_49
https://doi.org/10.1007/978-3-030-71051-4_49
Autor:
Tae Hong, Farnaz Mohammadi, Rohan Chatterjee, Eric Chan, Mohammad Pourhomayoun, Vahid Mohammadzadeh, Kouros Nouri-Mahdavi, Navid Amini
Publikováno v:
Advances in Visual Computing ISBN: 9783030904357
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec0fbd778fb1b79544ea7ca139901721
https://doi.org/10.1007/978-3-030-90436-4_22
https://doi.org/10.1007/978-3-030-90436-4_22