Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Manuel Carranza-Garcia"'
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34fc4a6867c4d59d206feb4561033c50
https://doi.org/10.1109/icip46576.2022.9897855
https://doi.org/10.1109/icip46576.2022.9897855
Autor:
Jose Miguel Riquelme-Dominguez, Manuel Carranza-García, Pedro Lara-Benítez, Francisco M. González-Longatt
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 156, Iss , Pp 109730- (2024)
The progressive substitution of conventional synchronous generation for renewable-based generation imposes a series of challenges in many aspects of modern power systems, among which are the issues related to the low rotational inertia systems. Rotat
Externí odkaz:
https://doaj.org/article/bac3902273094fd4918de8fa51768c37
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25838- (2024)
CO2 emissions play a crucial role in international politics. Countries enter into agreements to reduce the amount of pollution emitted into the atmosphere. Energy generation is one of the main contributors to pollution and is generally considered the
Externí odkaz:
https://doaj.org/article/8130ee3e71a84c6793067f1a5eb926ec
Publikováno v:
Remote Sensing, Vol 13, Iss 1, p 89 (2020)
Object detection using remote sensing data is a key task of the perception systems of self-driving vehicles. While many generic deep learning architectures have been proposed for this problem, there is little guidance on their suitability when using
Externí odkaz:
https://doaj.org/article/3f54e58676444036ab78add5894167a6
Publikováno v:
Applied Sciences, Vol 10, Iss 7, p 2322 (2020)
Modern energy systems collect high volumes of data that can provide valuable information about energy consumption. Electric companies can now use historical data to make informed decisions on energy production by forecasting the expected demand. Many
Externí odkaz:
https://doaj.org/article/dc45b7c9246e47188b80098603a7e63f
Publikováno v:
Remote Sensing, Vol 11, Iss 3, p 274 (2019)
Analyzing land use and land cover (LULC) using remote sensing (RS) imagery is essential for many environmental and social applications. The increase in availability of RS data has led to the development of new techniques for digital pattern classific
Externí odkaz:
https://doaj.org/article/7c25ca23b59349638f2a97410677c42e