Zobrazeno 1 - 10
of 551
pro vyhledávání: '"Fraccaro P"'
Autor:
Soni, Sagar, Dudhane, Akshay, Debary, Hiyam, Fiaz, Mustansar, Munir, Muhammad Akhtar, Danish, Muhammad Sohail, Fraccaro, Paolo, Watson, Campbell D, Klein, Levente J, Khan, Fahad Shahbaz, Khan, Salman
Automated analysis of vast Earth observation data via interactive Vision-Language Models (VLMs) can unlock new opportunities for environmental monitoring, disaster response, and resource management. Existing generic VLMs do not perform well on Remote
Externí odkaz:
http://arxiv.org/abs/2412.15190
Autor:
Szwarcman, Daniela, Roy, Sujit, Fraccaro, Paolo, Gíslason, Þorsteinn Elí, Blumenstiel, Benedikt, Ghosal, Rinki, de Oliveira, Pedro Henrique, Almeida, Joao Lucas de Sousa, Sedona, Rocco, Kang, Yanghui, Chakraborty, Srija, Wang, Sizhe, Kumar, Ankur, Truong, Myscon, Godwin, Denys, Lee, Hyunho, Hsu, Chia-Yu, Asanjan, Ata Akbari, Mujeci, Besart, Keenan, Trevor, Arevalo, Paulo, Li, Wenwen, Alemohammad, Hamed, Olofsson, Pontus, Hain, Christopher, Kennedy, Robert, Zadrozny, Bianca, Cavallaro, Gabriele, Watson, Campbell, Maskey, Manil, Ramachandran, Rahul, Moreno, Juan Bernabe
This technical report presents Prithvi-EO-2.0, a new geospatial foundation model that offers significant improvements over its predecessor, Prithvi-EO-1.0. Trained on 4.2M global time series samples from NASA's Harmonized Landsat and Sentinel-2 data
Externí odkaz:
http://arxiv.org/abs/2412.02732
Autor:
Danish, Muhammad Sohail, Munir, Muhammad Akhtar, Shah, Syed Roshaan Ali, Kuckreja, Kartik, Khan, Fahad Shahbaz, Fraccaro, Paolo, Lacoste, Alexandre, Khan, Salman
While numerous recent benchmarks focus on evaluating generic Vision-Language Models (VLMs), they fall short in addressing the unique demands of geospatial applications. Generic VLM benchmarks are not designed to handle the complexities of geospatial
Externí odkaz:
http://arxiv.org/abs/2411.19325
Autor:
Muszynski, Michal, Klein, Levente, da Silva, Ademir Ferreira, Atluri, Anjani Prasad, Gomes, Carlos, Szwarcman, Daniela, Singh, Gurkanwar, Gu, Kewen, Zortea, Maciel, Simumba, Naomi, Fraccaro, Paolo, Singh, Shraddha, Meliksetian, Steve, Watson, Campbell, Kimura, Daiki, Srinivasan, Harini
Global vegetation structure mapping is critical for understanding the global carbon cycle and maximizing the efficacy of nature-based carbon sequestration initiatives. Moreover, vegetation structure mapping can help reduce the impacts of climate chan
Externí odkaz:
http://arxiv.org/abs/2406.19888
Autor:
Jakubik, Johannes, Roy, Sujit, Phillips, C. E., Fraccaro, Paolo, Godwin, Denys, Zadrozny, Bianca, Szwarcman, Daniela, Gomes, Carlos, Nyirjesy, Gabby, Edwards, Blair, Kimura, Daiki, Simumba, Naomi, Chu, Linsong, Mukkavilli, S. Karthik, Lambhate, Devyani, Das, Kamal, Bangalore, Ranjini, Oliveira, Dario, Muszynski, Michal, Ankur, Kumar, Ramasubramanian, Muthukumaran, Gurung, Iksha, Khallaghi, Sam, Hanxi, Li, Cecil, Michael, Ahmadi, Maryam, Kordi, Fatemeh, Alemohammad, Hamed, Maskey, Manil, Ganti, Raghu, Weldemariam, Kommy, Ramachandran, Rahul
Significant progress in the development of highly adaptable and reusable Artificial Intelligence (AI) models is expected to have a significant impact on Earth science and remote sensing. Foundation models are pre-trained on large unlabeled datasets t
Externí odkaz:
http://arxiv.org/abs/2310.18660
Autor:
Edwards, Blair, Fraccaro, Paolo, Stoyanov, Nikola, Bore, Nelson, Kuehnert, Julian, Weldemariam, Kommy, Jones, Anne
The application of models to assess the risk of the physical impacts of weather and climate and their subsequent consequences for society and business is of the utmost importance in our changing climate. The operation of such models is historically b
Externí odkaz:
http://arxiv.org/abs/2209.12080
Autor:
Tatsubori, Michiaki, Moriyama, Takao, Ishikawa, Tatsuya, Fraccaro, Paolo, Jones, Anne, Edwards, Blair, Kuehnert, Julian, Remy, Sekou L.
When providing the boundary conditions for hydrological flood models and estimating the associated risk, interpolating precipitation at very high temporal resolutions (e.g. 5 minutes) is essential not to miss the cause of flooding in local regions. I
Externí odkaz:
http://arxiv.org/abs/2203.01277
Autor:
Matteo Moroni, Massimo Melo, Raffaella Antonione, Massimo Fantoni, Roberto Luzzati, Massimiliano Lanzafame, Rita Murri, Fabio Gilioli, Francesco Dentali, Dario Manfellotto, Biancamaria Fraccaro, Luigi Patil
Publikováno v:
Italian Journal of Medicine, Vol 12, Iss Quaderni 2024 (2024)
Introduzione Survey intersocietaria SICP-SIMIT-FADOI-SIMG La febbre in un contesto clinico di fine vita Peculiarità dei principali setting di cura Principali quadri sindromici nei pazienti a fine vita e indicazioni terapeutiche A
Externí odkaz:
https://doaj.org/article/36f14b17a08641e3b41d1b4078abc83f
Akademický článek
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Autor:
Anne Jones, Julian Kuehnert, Paolo Fraccaro, Ophélie Meuriot, Tatsuya Ishikawa, Blair Edwards, Nikola Stoyanov, Sekou L. Remy, Kommy Weldemariam, Solomon Assefa
Publikováno v:
npj Climate and Atmospheric Science, Vol 6, Iss 1, Pp 1-8 (2023)
Abstract In recent years there has been a surge of interest in the potential of Artificial Intelligence (AI) to address the global threat of climate change. Here, we consider climate change applications, and review the ability of AI technologies to b
Externí odkaz:
https://doaj.org/article/b5c5379761104550ba217e8c95d3eaf1