Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Daniel Gutierrez Reina"'
Autor:
Dame Seck Diop, Samuel Yanes Luis, Manuel Perales Esteve, Sergio L. Toral Marin, Daniel Gutierrez Reina
Publikováno v:
IEEE Access, Vol 12, Pp 75559-75576 (2024)
This study proposes the use of an Autonomous Surface Vehicle (ASV) fleet with water quality sensors for efficient patrolling to monitor water resource pollution. This is formulated as a Patrolling Problem, which consists of planning and executing eff
Externí odkaz:
https://doaj.org/article/56b3d4f0b8d84c3dabd5c5976a94eea1
Autor:
Alejandro Mendoza Barrionuevo, Samuel Yanes Luis, Daniel Gutierrez Reina, Sergio L. Toral Marin
Publikováno v:
IEEE Access, Vol 12, Pp 71835-71852 (2024)
Water contamination in extensive aquatic resources is a pressing issue, especially during current drought conditions across the world. To adress this, a novel approach involving a heterogeneous sensing capabilities fleet of four autonomous surface ve
Externí odkaz:
https://doaj.org/article/396e4665dc9349c8a9b2b99db101c30d
Autor:
Micaela Jara Ten Kathen, Federico Peralta Samaniego, Isabel Jurado Flores, Daniel Gutierrez Reina
Publikováno v:
IEEE Access, Vol 11, Pp 110943-110966 (2023)
The importance of monitoring and evaluating the quality of water resources has significantly grown over time. To achieve this effectively, an option is to employ an intelligent monitoring system capable of measuring the physical and chemical paramete
Externí odkaz:
https://doaj.org/article/1a52a34987054bbb92eab08a8f92a84e
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
Autor:
Federico Peralta Samaniego, Daniel Gutierrez Reina, Sergio L. Toral Marin, Mario Arzamendia, Derlis O. Gregor
Publikováno v:
IEEE Access, Vol 9, Pp 9163-9179 (2021)
Bayesian Optimization is a sequential method for obtaining the maximum of an unknown function that has gained much popularity in recent years. Bayesian Optimization is commonly used to monitor the surface of large-scale aquatic environments using an
Externí odkaz:
https://doaj.org/article/195c54bd825646b2a09b39c505799020
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
Autor:
A Angel Nancy, Dakshanamoorthy Ravindran, P M Durai Raj Vincent, Kathiravan Srinivasan, Daniel Gutierrez Reina
Publikováno v:
Electronics; Volume 11; Issue 15; Pages: 2292
The Internet of Things confers seamless connectivity between people and objects, and its confluence with the Cloud improves our lives. Predictive analytics in the medical domain can help turn a reactive healthcare strategy into a proactive one, with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e60a4e1ab1864593b009769b43727dd5
Autor:
Federico Peralta, Michael Pearce, Matthias Poloczek, Daniel Gutierrez Reina, Sergio Toral, Juergen Branke
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference Companion.
Publikováno v:
Mechatronics. 91:102953
Publikováno v:
2022 7th International Conference on Machine Learning Technologies (ICMLT).