Zobrazeno 1 - 10
of 855
pro vyhledávání: '"A. Atto"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2022, Pp 673-680 (2022)
Deep learning-based land cover classifiers learnt from Satellite Image Time Series (SITS) are known to reach high performances. In order to explain, at least partly, the rationale leading to each one of their decisions, attention-based architectures
Externí odkaz:
https://doaj.org/article/1df0fb2862c34b59aca4c8bff1b7fbc8
Groundwater resources are one of the most relevant elements in the water cycle, therefore developing models to accurately predict them is a pivotal task in the sustainable resources management framework. Deep Learning (DL) models have been revealed v
Externí odkaz:
http://arxiv.org/abs/2409.13284
Autor:
Alio Sanda M. Djibrilla, Adamou Rabani, Karimoun M. Illyassou, Samna Mainassara Issa, Koraou N. Abdourahimou, Atto H. Abdoulkader, Drame Yaye Aissetou
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Climate change negative impacts on food production systems have forced large scale food producers to make available less healthy products. Although available on the markets, tomatoes are no more tasting as they used to be and providing fewer
Externí odkaz:
https://doaj.org/article/47cbf5c879334333a09ee10232698246
Autor:
Alio Sanda M. Djibrilla, Adamou Rabani, Karimoun M. Illyassou, Atto H. Abdoulkader, Drame Yaye Aissetou
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Anthropogenic climate change has caused worldwide extreme weather events including droughts, floods and heatwaves. It disproportionately affects developing countries through food insecurity. Greenhouse is important and relevant to the food-e
Externí odkaz:
https://doaj.org/article/03ef2f3445524249970ca125b41bcd73
Autor:
Chiara Ronchini, Federica Gigli, Martina Fontanini, Raffaella Furgi, Viviana Amato, Fabio Giglio, Giuliana Gregato, Francesco Bertolini, Michela Rondoni, Francesco Lanza, Atto Billio, Enrico Derenzini, Corrado Tarella, Pier Giuseppe Pelicci, Myriam Alcalay, Elisabetta Todisco
Publikováno v:
Cancer Reports, Vol 7, Iss 8, Pp n/a-n/a (2024)
ABSTRACT Background Myeloid neoplasms, including acute myeloid leukemia, have been traditionally among the less investigated cancer types concerning germline predisposition. Indeed, myeloid neoplasms with germline predisposition are challenging to id
Externí odkaz:
https://doaj.org/article/312eb4c785b947f59cd6b468f1e9c1b6
Autor:
Pelous, Enzo, Méger, Nicolas, Benoit, Alexandre, Atto, Abdourrahmane, Ienco, Dino, Courteille, Hermann, Lin-Kwong-Chon, Christophe
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing September 2024 215:256-270
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2901-2917 (2024)
The detection of wet snow by satellite imaging is currently done in an unsupervised way and lacks quantitative evaluation due to the difficulty of collecting ground truths in extreme environments. In this article, we propose to take into account info
Externí odkaz:
https://doaj.org/article/bf8912ff98a04eda9b013e13395746f8
Autor:
Sam Fulte, Brianna Atto, Arianna McCarty, Kadi J. Horn, Jasmina S. Redzic, Elan Eisenmesser, Michael Yang, Robyn L. Marsh, Stephen Tristram, Sarah E. Clark
Publikováno v:
mSphere, Vol 9, Iss 3 (2024)
ABSTRACTIron acquisition is a key feature dictating the success of pathogen colonization and infection. Pathogens scavenging iron from the host must contend with other members of the microbiome similarly competing for the limited pool of bioavailable
Externí odkaz:
https://doaj.org/article/81c7fffd5ac842859cbbd250170577ce
Publikováno v:
International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2021, Brussels, Belgium
Deep Neural Networks (DNNs) are getting increasing attention to deal with Land Cover Classification (LCC) relying on Satellite Image Time Series (SITS). Though high performances can be achieved, the rationale of a prediction yielded by a DNN often re
Externí odkaz:
http://arxiv.org/abs/2103.16836
We introduce WECS (Wavelet Energies Correlation Sreening), an unsupervised sparse procedure to detect spatio-temporal change points on multi-temporal SAR (POLSAR) images or even on sequences of very high resolution images. The procedure is based on w
Externí odkaz:
http://arxiv.org/abs/2103.14444