Zobrazeno 1 - 10
of 259
pro vyhledávání: '"open access data"'
Publikováno v:
Energies, Vol 17, Iss 15, p 3766 (2024)
The German government aims to convert its energy system to renewable energy by 2045. This requires a comprehensive understanding of land eligibility for renewables, particularly land-intensive ground-mounted photovoltaics (GM-PV). Federal states must
Externí odkaz:
https://doaj.org/article/5dec57d5d4da415cacec877e83303425
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 14, Iss 1 (2023)
AbstractThis study investigates the potential of freely available Sentinel-1 imagery coupled with Google Earth Engine (GEE) for mapping and monitoring flooding in Dar es Salaam. Sentinel-1 images (n = 55) available during the rainy season (March–Ma
Externí odkaz:
https://doaj.org/article/937361c85ed7410a9860169aa80dd772
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 6671-6681 (2023)
Lane-level road maps are crucial for urban traffic management, autonomous driving, and vehicle navigations. Optical remote sensing image suffers from trees and buildings occlusion for lane-level road mapping due to the top-down view. While street vie
Externí odkaz:
https://doaj.org/article/861ff76d89d74dfd8d7b155c1e928ef3
Publikováno v:
Environmental Sciences Proceedings, Vol 29, Iss 1, p 60 (2024)
Landslides are natural disasters with a high socio-economic impact on human societies due to the considerable number of fatalities and the destruction of infrastructure that they cause. A comprehensive landslides inventory is vital for reducing this
Externí odkaz:
https://doaj.org/article/10edf7c873ee4ab9a33ad5e5490e25ac
Autor:
Javier DeFelipe
Publikováno v:
Frontiers in Neuroanatomy, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/d39a2fcbf4fb46b98b635c5a093e0db1
Publikováno v:
Frontiers in Neuroergonomics, Vol 4 (2023)
BackgroundWhile efforts to establish best practices with functional near infrared spectroscopy (fNIRS) signal processing have been published, there are still no community standards for applying machine learning to fNIRS data. Moreover, the lack of op
Externí odkaz:
https://doaj.org/article/0e87dfe822dd4456bdfed875001716c2
Publikováno v:
NeuroImage, Vol 264, Iss , Pp 119754- (2022)
The human brain achieves visual object recognition through multiple stages of linear and nonlinear transformations operating at a millisecond scale. To predict and explain these rapid transformations, computational neuroscientists employ machine lear
Externí odkaz:
https://doaj.org/article/03e23e455c0743459dfd0d22f9ed0be5
Akademický článek
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Autor:
Annemie Rose Janssen, Philippa Bricher, Karen Payne, Renuka Badhe, Nicole Biebow, Taco de Bruin, Ruth Duerr, Pjotr Elshout, Allison Gaylord, Øystein Godøy, Patrick Gorringe, Damien Guihen, Johnathan Kool, Jan Rene Larsen, Joseph Nolan, Antonio Novellino, William Manley, Andreas Marouchos, Molly McCammon, Maribeth Murray, Jenn Parrott, Jay Pearlman, Helen Peat, Peter Pulsifer, Lloyd Symons, Marten Tacoma, Soulaine Theocharides, Stein Tronstad, Chantelle Verhey, Anton Van de Putte
Publikováno v:
Data Science Journal, Vol 22, Pp 18-18 (2023)
This paper reports on the Hackathon Sessions organised at the Polar Data Forum IV (PDF IV) (20–24 September 2021), during which 351 participants from 50 different countries discussed collaboratively about the latest developments in polar data manag
Externí odkaz:
https://doaj.org/article/c9956e3c44664b40996b405bb528cfef