A Bayesian Optimization Approach for Water Resources Monitoring Through an Autonomous Surface Vehicle: The Ypacarai Lake Case Study-Reference-Cited by-同舟云学术

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A Bayesian Optimization Approach for Water Resources Monitoring Through an Autonomous Surface Vehicle: The Ypacarai Lake Case Study

Published:2021 Issue: Volume:9 Page:9163-9179
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Samaniego Federico Peralta^ORCID,Reina Daniel Gutierrez,Marin Sergio L. Toral^ORCID,Arzamendia Mario^ORCID,Gregor Derlis O.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09319641.pdf?arnumber=9319641

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AquaFeL-PSO: An informative path planning for water resources monitoring using autonomous surface vehicles based on multi-modal PSO and federated learning;Ocean Engineering;2024-11

2. Deep Reinforcement Multiagent Learning Framework for Information Gathering with Local Gaussian Processes for Water Monitoring;Advanced Intelligent Systems;2024-04-26

3. Decoupling Patrolling Tasks for Water Quality Monitoring: A Multi-Agent Deep Reinforcement Learning Approach;IEEE Access;2024

4. Deep Variational Auto-Encoder for Model-Based Water Quality Patrolling with Intelligent Surface Vehicles;Lecture Notes in Computer Science;2024

5. Water quality online modeling using multi-objective and multi-agent Bayesian Optimization with region partitioning;Mechatronics;2023-05

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