Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Ata Akbari Asanjan"'
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2718 (2023)
Wildfires are one of the major disasters among many and are responsible for more than 6 million acres burned in the United States alone every year. Accurate, insightful, and timely wildfire detection is needed to help authorities mitigate and prevent
Externí odkaz:
https://doaj.org/article/220776af12df4bf58500608d36cf1722
Autor:
Iman Mallakpour, Mojtaba Sadeghi, Hamidreza Mosaffa, Ata Akbari Asanjan, Mojtaba Sadegh, Phu Nguyen, Soroosh Sorooshian, Amir AghaKouchak
Publikováno v:
Weather and Climate Extremes, Vol 36, Iss , Pp 100433- (2022)
Variability and spatiotemporal changes in precipitation characteristics can have profound socioenvironmental impacts. Several studies have shown that the frequency and/or magnitude of precipitation events have changed over the contiguous United State
Externí odkaz:
https://doaj.org/article/72589698ea1c4851a83514c4ebddfb0a
Autor:
Hassan Anjileli, Laurie S. Huning, Hamed Moftakhari, Samaneh Ashraf, Ata Akbari Asanjan, Hamid Norouzi, Amir AghaKouchak
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract In the wake of climate change, extreme events such as heatwaves are considered to be key players in the terrestrial biosphere. In the past decades, the frequency and severity of heatwaves have risen substantially, and they are projected to c
Externí odkaz:
https://doaj.org/article/b939a4ca07be48c19c07063ed0f24e18
Autor:
Thomas Templin, Milad Memarzadeh, Walter Vinci, P Aaron Lott, Ata Akbari Asanjan, Anthony Alexiades Armenakas, Eleanor Rieffel
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 3, p 035018 (2023)
Deep generative learning cannot only be used for generating new data with statistical characteristics derived from input data but also for anomaly detection, by separating nominal and anomalous instances based on their reconstruction quality. In this
Externí odkaz:
https://doaj.org/article/55bd30e2583e4674b52eab9e6be76b29
Autor:
Mohammad Reza Alizadeh, John T. Abatzoglou, Jan F. Adamowski, Jeffrey P. Prestemon, Bhaskar Chittoori, Ata Akbari Asanjan, Mojtaba Sadegh
Publikováno v:
Earth's Future, Vol 10, Iss 2, Pp n/a-n/a (2022)
Abstract Adaptation is key to minimizing heatwaves' societal burden; however, our understanding of adaptation capacity across the socioeconomic spectrum is incomplete. We demonstrate that observed heatwave trends in the past four decades were most pr
Externí odkaz:
https://doaj.org/article/636ded9ca5404e1eb866f0545ac5cc6c
Publikováno v:
Aerospace, Vol 9, Iss 8, p 437 (2022)
Identifying safety anomalies and vulnerabilities in the aviation domain is a very expensive and time-consuming task. Currently, it is accomplished via manual forensic reviews by subject matter experts (SMEs). However, with the increase in the amount
Externí odkaz:
https://doaj.org/article/3de0d7ae81864814b282c19d6ad37d1b
Autor:
Esra Suel, Meytar Sorek-Hamer, Izabela Moise, Michael von Pohle, Adwait Sahasrabhojanee, Ata Akbari Asanjan, Raphael E. Arku, Abosede S. Alli, Benjamin Barratt, Sierra N. Clark, Ariane Middel, Emily Deardorff, Violet Lingenfelter, Nikunj C. Oza, Nishant Yadav, Majid Ezzati, Michael Brauer
Publikováno v:
Remote Sensing, Vol 14, Iss 14, p 3429 (2022)
High spatial resolution information on urban air pollution levels is unavailable in many areas globally, partially due to the high input data needs of existing estimation approaches. We introduced a computer vision method to estimate annual means for
Externí odkaz:
https://doaj.org/article/7ec36f1e15f444279a22286e0f5a3fd7
Autor:
Meytar Sorek-Hamer, Michael Von Pohle, Adwait Sahasrabhojanee, Ata Akbari Asanjan, Emily Deardorff, Esra Suel, Violet Lingenfelter, Kamalika Das, Nikunj C. Oza, Majid Ezzati, Michael Brauer
Publikováno v:
Atmosphere, Vol 13, Iss 5, p 696 (2022)
High-spatial-resolution air quality (AQ) mapping is important for identifying pollution sources to facilitate local action. Some of the most populated cities in the world are not equipped with the infrastructure required to monitor AQ levels on the g
Externí odkaz:
https://doaj.org/article/2d331bb62c5b42be8875c1aa06184d00
Autor:
Pari-Sima Katiraie-Boroujerdy, Matin Rahnamay Naeini, Ata Akbari Asanjan, Ali Chavoshian, Kuo-lin Hsu, Soroosh Sorooshian
Publikováno v:
Remote Sensing, Vol 12, Iss 13, p 2102 (2020)
High-resolution real-time satellite-based precipitation estimation datasets can play a more essential role in flood forecasting and risk analysis of infrastructures. This is particularly true for extended deserts or mountainous areas with sparse rain
Externí odkaz:
https://doaj.org/article/c0a3991feefe482cb91fd50d860998c0
Autor:
Hamidreza Mosaffa, Mojtaba Sadeghi, Negin Hayatbini, Vesta Afzali Gorooh, Ata Akbari Asanjan, Phu Nguyen, Soroosh Sorooshian
Publikováno v:
Remote Sensing, Vol 12, Iss 10, p 1584 (2020)
Spatiotemporal precipitation trend analysis provides valuable information for water management decision-making. Satellite-based precipitation products with high spatial and temporal resolution and long records, as opposed to temporally and spatially
Externí odkaz:
https://doaj.org/article/d7e5cb8dcbc740dcb893b9958325360c