Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Gonzalo, Pajares"'
Autor:
Fredy Barrientos-Espillco, Esther Gascó, Clara I. López-González, María J. Gómez-Silva, Gonzalo Pajares
Cyanobacterial Harmful Algal Blooms (CyanoHABs) in lakes and reservoirs have increased substantially in recent decades due to different environmental factors. Its early detection is a crucial issue to minimize health effects, particularly in potentia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::804d494dbf5a906262b6a6bd991ce420
https://eprints.ucm.es/id/eprint/78130/
https://eprints.ucm.es/id/eprint/78130/
Autor:
Alberto Tellaeche Iglesias, Miguel Ángel Campos Anaya, Gonzalo Pajares Martinsanz, Iker Pastor-López
Publikováno v:
Sensors, Vol 21, Iss 10, p 3339 (2021)
Defects in textured materials present a great variability, usually requiring ad-hoc solutions for each specific case. This research work proposes a solution that combines two machine learning-based approaches, convolutional autoencoders, CA; one clas
Externí odkaz:
https://doaj.org/article/9e0174a3ed8949d09419ad91d7db36a5
Autor:
Gonzalo Pajares Martinsanz
Publikováno v:
Sensors, Vol 15, Iss 2, Pp 3830-3833 (2015)
Fluid leak detection represents a problem that has attracted the interest of researchers, but not exclusively because in industries and services leaks are frequently common. Indeed, in water or gas supplies, chemical or thermal plants, sea-lines or c
Externí odkaz:
https://doaj.org/article/cd15890a98ad4c73b57755c272541ad3
Autor:
Gonzalo Pajares
Publikováno v:
Sensors, Vol 14, Iss 8, Pp 15282-15303 (2014)
The aim of this special issue was to provide a comprehensive view on the state-of-the-art sensor technology in Spain. Different problems cause the appearance and development of new sensor technologies and vice versa, the emergence of new sensors faci
Externí odkaz:
https://doaj.org/article/14cdaf7dc87d4a648015d2af1af33f18
Publikováno v:
Sensors, Vol 14, Iss 3, Pp 4014-4049 (2014)
In recent years, there have been major advances in the development of new and more powerful perception systems for agriculture, such as computer-vision and global positioning systems. Due to these advances, the automation of agricultural tasks has re
Externí odkaz:
https://doaj.org/article/c651f7c754dd4123aca5274a4fe00eeb
Publikováno v:
Sensors, Vol 13, Iss 9, Pp 12132-12139 (2013)
Agriculture and Forestry are two broad and promising areas demanding technological solutions with the aim of increasing production or accurate inventories for sustainability while the environmental impact is minimized by reducing the application of a
Externí odkaz:
https://doaj.org/article/6e3273eb8c10473e966ed5381fe8085d
Publikováno v:
IET Computer Vision, Vol 7, Iss 4, Pp 272-278 (2013)
This study presents a new unsupervised hybrid classifier for natural texture identification in aerial images. The proposed strategy combines through the fuzzy integral (FI) six well‐tested base supervised classifiers. This automation is based on th
Externí odkaz:
https://doaj.org/article/4deb3657871a48e394d34af2bace722a
Autor:
Juan Romeo, José Miguel Guerrero, Martín Montalvo, Luis Emmi, María Guijarro, Pablo Gonzalez-de-Santos, Gonzalo Pajares
Publikováno v:
Sensors, Vol 13, Iss 4, Pp 4348-4366 (2013)
In Precision Agriculture, images coming from camera-based sensors are commonly used for weed identification and crop line detection, either to apply specific treatments or for vehicle guidance purposes. Accuracy of identification and detection is an
Externí odkaz:
https://doaj.org/article/f029aafa4e964212b95479de74da7771
Publikováno v:
Remote Sensing, Vol 4, Iss 11, Pp 3571-3595 (2012)
This paper proposes the optimization relaxation approach based on the analogue Hopfield Neural Network (HNN) for cluster refinement of pre-classified Polarimetric Synthetic Aperture Radar (PolSAR) image data. We consider the initial classification pr
Externí odkaz:
https://doaj.org/article/1e9b36337dc54c768fbdcbe5b8b0f991