Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Thomas Tveit"'
Publikováno v:
Geoenvironmental Disasters, Vol 9, Iss 1, Pp 1-13 (2022)
Abstract We use Visible Infrared Imaging Radiometer Suite (VIIRS) nightlight data to model the impact of the 2015 Nepal earthquakes. More specifically, the data—showing nightlight emissions—are used to examine the extent to which there is a diffe
Externí odkaz:
https://doaj.org/article/5ccdfba998f04bc985d5aa55ee7114c8
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 381-404 (2021)
This paper utilizes Visible Infrared Imaging Radiometer Suite (VIIRS) nightlights to model damage caused by earthquakes, floods and typhoons in five South East Asian countries (Indonesia, Myanmar, the Philippines, Thailand and Vietnam). For each type
Externí odkaz:
https://doaj.org/article/3b62927687a4453fa701325bf614230d
Publikováno v:
Journal of the Association of Environmental and Resource Economists. 10:753-786
Autor:
Mats Tveter, Thomas Tveitstøl, Christoffer Hatlestad-Hall, Ana S. Pérez T., Erik Taubøll, Anis Yazidi, Hugo L. Hammer, Ira R. J. Hebold Haraldsen
Publikováno v:
Brain Informatics, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract Deep Learning (DL) has the potential to enhance patient outcomes in healthcare by implementing proficient systems for disease detection and diagnosis. However, the complexity and lack of interpretability impede their widespread adoption in c
Externí odkaz:
https://doaj.org/article/ac8e752216de448587ab16a344df19ac
Publikováno v:
International Tax and Public Finance.
We quantify the fiscal impacts of earthquakes in Japan. In contrast with earlier research which examined national level aggregate spending in several countries, we are able to provide a detailed examination of separate budget categories within the lo
Autor:
Thomas Tveitstøl, Mats Tveter, Ana S. Pérez T., Christoffer Hatlestad-Hall, Anis Yazidi, Hugo L. Hammer, Ira R. J. Hebold Haraldsen
Publikováno v:
Frontiers in Neuroinformatics, Vol 17 (2024)
IntroductionA challenge when applying an artificial intelligence (AI) deep learning (DL) approach to novel electroencephalography (EEG) data, is the DL architecture's lack of adaptability to changing numbers of EEG channels. That is, the number of ch
Externí odkaz:
https://doaj.org/article/8216ec604ec042b3b665f49ae8bb0927
Autor:
Ira H. Haraldsen, Christoffer Hatlestad-Hall, Camillo Marra, Hanna Renvall, Fernando Maestú, Jorge Acosta-Hernández, Soraya Alfonsin, Vebjørn Andersson, Abhilash Anand, Victor Ayllón, Aleksandar Babic, Asma Belhadi, Cindy Birck, Ricardo Bruña, Naike Caraglia, Claudia Carrarini, Erik Christensen, Americo Cicchetti, Signe Daugbjerg, Rossella Di Bidino, Ana Diaz-Ponce, Ainar Drews, Guido Maria Giuffrè, Jean Georges, Pedro Gil-Gregorio, Dianne Gove, Tim M. Govers, Harry Hallock, Marja Hietanen, Lone Holmen, Jaakko Hotta, Samuel Kaski, Rabindra Khadka, Antti S. Kinnunen, Anne M. Koivisto, Shrikanth Kulashekhar, Denis Larsen, Mia Liljeström, Pedro G. Lind, Alberto Marcos Dolado, Serena Marshall, Susanne Merz, Francesca Miraglia, Juha Montonen, Ville Mäntynen, Anne Rita Øksengård, Javier Olazarán, Teemu Paajanen, José M. Peña, Luis Peña, Daniel lrabien Peniche, Ana S. Perez, Mohamed Radwan, Federico Ramírez-Toraño, Andrea Rodríguez-Pedrero, Timo Saarinen, Mario Salas-Carrillo, Riitta Salmelin, Sonia Sousa, Abdillah Suyuthi, Mathias Toft, Pablo Toharia, Thomas Tveitstøl, Mats Tveter, Ramesh Upreti, Robin J. Vermeulen, Fabrizio Vecchio, Anis Yazidi, Paolo Maria Rossini
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2024)
More than 10 million Europeans show signs of mild cognitive impairment (MCI), a transitional stage between normal brain aging and dementia stage memory disorder. The path MCI takes can be divergent; while some maintain stability or even revert to cog
Externí odkaz:
https://doaj.org/article/91358f6fffa0444087ebef983bccbdcd