Yu Gou

Orcid: 0000-0002-6449-2927

According to our database1, Yu Gou authored at least 17 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Traffic Load-Aware Resource Management Strategy for Underwater Wireless Sensor Networks.
IEEE Trans. Mob. Comput., January, 2025

2024
Joint Link Scheduling and Power Allocation in Imperfect and Energy-Constrained Underwater Wireless Sensor Networks.
IEEE Trans. Mob. Comput., October, 2024

Achieving Fair-Effective Communications and Robustness in Underwater Acoustic Sensor Networks: A Semi-Cooperative Approach.
IEEE Trans. Mob. Comput., May, 2024

High-resolution temperature and salinity model analysis using support vector regression.
J. Ambient Intell. Humaniz. Comput., February, 2024

2023
A Deep MARL-Based Power-Management Strategy for Improving the Fair Reuse of UWSNs.
IEEE Internet Things J., April, 2023

2022
UDARMF: An Underwater Distributed and Adaptive Resource Management Framework.
IEEE Internet Things J., 2022

A Temperature Prediction-Assisted Approach for Evaluating Propagation Delay and Channel Loss of Underwater Acoustic Networks.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

2021
A Scalable and Fair Power Allocation Scheme Based on Deep Multi-Agent Reinforcement Learning in Underwater Wireless Sensor Networks.
Proceedings of the WUWNet'21: The 15th International Conference on Underwater Networks & Systems, Shenzhen, Guangdong, China, November 22, 2021

Field Experiment and Analysis of Underwater String Networks Based on PMAC.
Proceedings of the WUWNet'21: The 15th International Conference on Underwater Networks & Systems, Shenzhen, Guangdong, China, November 22, 2021

Achieving Time-Sharing and Spatial-Reuse Underwater Wireless Sensor Networks with Communication Fairness: A Distributed Deep Multi-Agent Reinforcement Learning Approach.
Proceedings of the WUWNet'21: The 15th International Conference on Underwater Networks & Systems, Shenzhen, Guangdong, China, November 22, 2021

2020
DeepOcean: A General Deep Learning Framework for Spatio-Temporal Ocean Sensing Data Prediction.
IEEE Access, 2020

2018
TD-LSTM: Temporal Dependence-Based LSTM Networks for Marine Temperature Prediction.
Sensors, 2018

KNN regression model-based refinement of thermohaline data.
Proceedings of the Thirteenth ACM International Conference on Underwater Networks & Systems, 2018

2017
A Machine Learning Approach to Argo Data Analysis in a Thermocline.
Sensors, 2017

Construction of High Resolution Thermocline Grid Data Sets.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2017

Thermocline Analysis Based on Entropy Value Methods.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2017

Analysis of Thermocline Influencing Factors Based on Decision Tree Methods.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2017


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