Zobrazeno 1 - 10
of 310
pro vyhledávání: '"Joan SERRA"'
Autor:
Nuno Sepúlveda, João Malato, João Carlos Winck, António Vaz Carneiro, Joan Serra Hoffman, Jaime Branco
Publikováno v:
Acta Médica Portuguesa (2024)
N/A
Externí odkaz:
https://doaj.org/article/52f62ad2712148cc844df9311769bbcd
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12169-12180 (2024)
Fixed-quality image compression is a coding paradigm where the tolerated introduced distortion is set by the user. This article proposes a novel fixed-quality compression method for remote sensing images. It is based on a neural architecture we have
Externí odkaz:
https://doaj.org/article/93c987e6c898476b84ad05f49d475b36
Autor:
Miguel Hernandez-Cabronero, David Evans, Joan Bartrina-Rapesta, Francesc Auli-Llinas, Ian Blanes, Joan Serra-Sagrista
Publikováno v:
IEEE Access, Vol 12, Pp 36702-36711 (2024)
The Consultative Committee for Space Data Systems (CCSDS) recently published a lossless compression standard for housekeeping and telemetry. These data are critical for the safe and productive operation of virtually all remote sensing missions, inclu
Externí odkaz:
https://doaj.org/article/fb7bc4e62d0847ff8c7b7302423351f1
Autor:
Pau Galles, Katalin Takats, Miguel Hernandez-Cabronero, David Berga, Luciano Pega, Laura Riordan-Chen, Clara Garcia, Guillermo Becker, Adan Garriga, Anica Bukva, Joan Serra-Sagrista, David Vilaseca, Javier Marin
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3285-3296 (2024)
iquaflow is a framework that provides a set of tools to assess image quality. The user can add custom metrics that can be easily integrated and a set of unsupervised methods is offered by default. Furthermore, iquaflow measures quality by using the p
Externí odkaz:
https://doaj.org/article/18c255c09b0a477aae1dc4e4b8afad95
Autor:
Bahareh Ghanati, Joan Serra-Sagristà
Publikováno v:
Remote Sensing, Vol 16, Iss 20, p 3889 (2024)
This work presents a novel approach to rainfall–runoff modeling. We incorporate GAN-based data compaction into a spatial-attention-enhanced transductive long short-term memory (TLSTM) network. The GAN component reduces data dimensions while retaini
Externí odkaz:
https://doaj.org/article/03f829c1442c4d9596e0995b299de77f
Publikováno v:
Geoderma, Vol 440, Iss , Pp 116730- (2023)
Examining the effect of lanthanide-contaminated wastes, which have the potential to impact to other environmental compartments, requires conducting interaction studies with soils, as feasible first receptors of lanthanide leachates, and, if necessary
Externí odkaz:
https://doaj.org/article/89733c47165b4a3ba4934b38711f5e69
Autor:
Davide Gulino, Roser Sayeras, Joan Serra, Josep Betbese, Jordi Doltra, Adrian Gracia-Romero, Marta S. Lopes
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
IntroductionClimate change poses significant challenges to agriculture, impacting crop yields and necessitating adaptive strategies in breeding programs. This study investigates the genetic yield progress of wheat varieties in Catalonia, Spain, from
Externí odkaz:
https://doaj.org/article/3027713685ca494e95a07d0d58c1a874
Autor:
Jorge Arencibia-Borrego, Javier Sanchez Lora, Joan Serra-Batlles, Juan A. Riesco Miranda, Juan Enrique Cimas, Rosa Malo de Molina, Lucía Regadera, Javier Nuevo
Publikováno v:
Medicina Clínica Práctica, Vol 6, Iss 2, Pp 100367- (2023)
Resumen: Objetivo: el objetivo del estudio fue describir el perfil epidemiológico, clínico y calidad de vida de los pacientes con enfermedad pulmonar obstructiva crónica, estables, en tratamiento de mantenimiento con un agonista β2 adrenérgico d
Externí odkaz:
https://doaj.org/article/5ef506b9dd314817bade874d8e03cb54
A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning
Autor:
Sebastià Mijares i Verdú, Johannes Ballé, Valero Laparra, Joan Bartrina-Rapesta, Miguel Hernández-Cabronero, Joan Serra-Sagristà
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4422 (2023)
Two key hurdles to the adoption of Machine Learning (ML) techniques in hyperspectral data compression are computational complexity and scalability for large numbers of bands. These are due to the limited computing capacity available in remote sensing
Externí odkaz:
https://doaj.org/article/c02e616a385d421491d0eb22c29ec1e1
Autor:
Elia Mascolo, Satish Adhikari, Steven M. Caruso, Tagide deCarvalho, Anna Folch Salvador, Joan Serra-Sagristà, Ry Young, Ivan Erill, Patrick D. Curtis
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
Pilitropic and flagellotropic phages adsorb to bacterial pili and flagella. These phages have long been used to investigate multiple aspects of bacterial physiology, such as the cell cycle control in the Caulobacterales. Targeting cellular appendages
Externí odkaz:
https://doaj.org/article/1acee08d4a464109a862564ab5755bbc