Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Laura Melgar-García"'
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 3661-3679 (2023)
Floods remain one of the most devastating weather-induced disasters worldwide, resulting in numerous fatalities each year and severely impacting socio-economic development and the environment. Therefore, the ability to predict flood-prone areas in ad
Externí odkaz:
https://doaj.org/article/45ea5f61dbd848469949a69c01ad763f
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4761 (2023)
Identifying areas with high groundwater spring potential is crucial as it enables better decision-making concerning water supply, sustainable development, and the protection of sensitive ecosystems; therefore, it is necessary to predict the groundwat
Externí odkaz:
https://doaj.org/article/86843e7dc12b4bb3bc49283d4ad83412
Publikováno v:
Engineering Applications of Artificial Intelligence. 123:106326
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23fbd3f423dce8a43375010e766950d3
https://doi.org/10.1016/j.engappai.2023.106326
https://doi.org/10.1016/j.engappai.2023.106326
Autor:
Laura Melgar-García, David Gutiérrez-Avilés, Maria Teresa Godinho, Rita Espada, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
Precision agriculture focuses on the development of site-specific harvest considering the variability of each crop area. Vegetation indices allow the study and delineation of different characteristics of each field zone, generally invisible to the na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2babb2805ae8236f072e4c71f50f056
https://doi.org/10.1016/j.neucom.2021.06.101
https://doi.org/10.1016/j.neucom.2021.06.101
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
Triclustering algorithms group sets of coordinates of 3-dimensional datasets. In this paper, a new triclustering approach for data streams is introduced. It follows a streaming scheme of learning in two steps: offline and online phases. First, the of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78d2ad109132e659dda4b95fba520825
https://doi.org/10.1016/j.ins.2020.12.089
https://doi.org/10.1016/j.ins.2020.12.089
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783030857127
CAEPIA
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
CAEPIA
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
This paper presents a new forecasting algorithm for time series in streaming named StreamWNN. The methodology has two well-differentiated stages: the algorithm searches for the nearest neighbors to generate an initial prediction model in the batch ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f39af38879c7e56e571e31db1c8ba9e
Publikováno v:
SAC
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
One of the techniques that provides systematic insights into biolog ical processes is High-Content Screening (HCS). It measures cells phenotypes simultaneously. When analysing these images, features like fluorescent colour, shape, spatial distributio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d82c1c988b88952cf1c54436934ed15a
https://doi.org/10.1145/3341105.3374071
https://doi.org/10.1145/3341105.3374071
Autor:
Laura Melgar-García, Cristina Rubio-Escudero, Francisco Martínez-Álvarez, Isabel Sofia Brito, Rita Espada, Maria Teresa Godinho, David Gutiérrez-Avilés, Alicia Troncoso
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030578015
SOCO
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
SOCO
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Agriculture has undergone some very important changes over the last few decades. The emergence and evolution of precision agri culture has allowed to move from the uniform site management to the site-specific management, with both economic and enviro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05c782ae9f6d8944389f51eb9757a766
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030617042
HAIS
HAIS
This work presents a new forecasting algorithm for streaming electricity time series. This algorithm is based on a combination of the K-means clustering algorithm along with both the Naive Bayes classifier and the K nearest neighbors algorithm for re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2ea35fca40714e8edf5414f8da8045c
https://doi.org/10.1007/978-3-030-61705-9_43
https://doi.org/10.1007/978-3-030-61705-9_43
Autor:
José Lázaro Amaro-Mellado, Cristina Rubio-Escudero, Laura Melgar-García, David Gutiérrez-Avilés
Publikováno v:
Computers & Geosciences. 150:104736
Seismogenic source zone models, including the delineation and the characterization, still have a role to play in seismic hazard calculations, particularly in regions with moderate or low to moderate seismicity. Seismic source zones establish areas wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0d0c0a47e9c87c78018cf4a6c5c454a
https://doi.org/10.1016/j.cageo.2021.104736
https://doi.org/10.1016/j.cageo.2021.104736