Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Samuel Yanes-Luis"'
Autor:
Cristina Martínez-Ruedas, Samuel Yanes-Luis, Juan Manuel Díaz-Cabrera, Daniel Gutiérrez-Reina, Rafael Linares-Burgos, Isabel Luisa Castillejo-González
Publikováno v:
Agronomy, Vol 12, Iss 11, p 2700 (2022)
This paper aims to evaluate whether an automatic analysis with deep learning convolutional neural networks techniques offer the ability to efficiently identify olive groves with different intensification patterns by using very high-resolution aerial
Externí odkaz:
https://doaj.org/article/57e16d07220b493e98186141955ff2bc
Autor:
Samuel Yanes Luis, Dmitriy Shutin, Juan Marchal Gómez, Daniel Gutiérrez Reina, Sergio Toral Marín
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 8, Pp n/a-n/a (2024)
The conservation of hydrological resources involves continuously monitoring their contamination. A multiagent system composed of autonomous surface vehicles is proposed herein to efficiently monitor the water quality. To achieve a safe control of the
Externí odkaz:
https://doaj.org/article/27c4ce351c5545a3b0597c4176f1c461
Publikováno v:
IEEE Access, Vol 9, Pp 17084-17099 (2021)
Autonomous surfaces vehicles (ASVs) excel at monitoring and measuring aquatic nutrients due to their autonomy, mobility, and relatively low cost. When planning paths for such vehicles, the task of patrolling with multiple agents is usually addressed
Externí odkaz:
https://doaj.org/article/701164caec1843988573ccdff89f81c3
Publikováno v:
IEEE Access, Vol 8, Pp 204076-204093 (2020)
Autonomous Surfaces Vehicles (ASV) are incredibly useful for the continuous monitoring and exploring task of water resources due to their autonomy, mobility, and relative low cost. In the path planning context, the patrolling problem is usually addre
Externí odkaz:
https://doaj.org/article/84fba415a0c9430d91ac2cec01e24437
Publikováno v:
Sensors, Vol 21, Iss 8, p 2862 (2021)
The monitoring of water resources using Autonomous Surface Vehicles with water-quality sensors has been a recent approach due to the advances in unmanned transportation technology. The Ypacaraí Lake, the biggest water resource in Paraguay, suffers f
Externí odkaz:
https://doaj.org/article/0c93f2494bb3434fbb0c20915181f8d0
Publikováno v:
2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI).
Monitoring and patrolling large water resources is a major challenge for conservation. The problem of acquiring data of an underlying environment that usually changes within time involves a proper formulation of the information. The use of Autonomous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5801f2bed00b3a92673fedbcdac223c4
http://arxiv.org/abs/2210.08115
http://arxiv.org/abs/2210.08115
Publikováno v:
IEEE Access. 9:17084-17099
Article number 9330612 Autonomous surfaces vehicles (ASVs) excel at monitoring and measuring aquatic nutrients due to their autonomy, mobility, and relatively low cost. When planning paths for such vehicles, the task of patrolling with multiple agent
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031220388
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73debe3568992f85d06157d89e1b0890
https://doi.org/10.1007/978-3-031-22039-5_2
https://doi.org/10.1007/978-3-031-22039-5_2
Publikováno v:
IEEE Access, Vol 8, Pp 204076-204093 (2020)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
Autonomous Surfaces Vehicles (ASV) are incredibly useful for the continuous monitoring and exploring task of water resources due to their autonomy, mobility, and relative low cost. In the path planning context, the patrolling problem is usually addre