Yongtao Hu
Orcid: 0000-0003-1800-3683Affiliations:
- Henan Institute of Technology, Department of Automatic Control, Xinxiang, China
- Yanshan University, Institute of Electrical Engineering, Hebei, China (PhD 2017)
According to our database1,
Yongtao Hu
authored at least 13 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Energy-Efficient Sensor Deployment Strategy for Optimal Coverage of Underwater Events Inspired by Krill Herd.
IEEE Trans. Ind. Informatics, March, 2024
A secure and accurate localization algorithm for mobile nodes in underwater acoustic network.
Eng. Appl. Artif. Intell., 2024
JMRSAO: Refined Snow Ablation Optimizer Featuring Joint Opposite Selection and Multi-Strategy Fusion for Global Optimization and Engineering Design.
IEEE Access, 2024
MBSCSO: Multi-Strategy Boosted Sand Cat Swarm Optimization for Engineering Applications.
IEEE Access, 2024
2023
A localization algorithm for compensating stratification effect based on improved particle swarm optimization in underwater acoustic sensor network.
J. Ambient Intell. Humaniz. Comput., July, 2023
Running city game optimizer: a game-based metaheuristic optimization algorithm for global optimization.
J. Comput. Des. Eng., January, 2023
Learning automaton-based energy-efficient and fault-tolerant topology evolution algorithm for underwater acoustic sensor network.
J. Netw. Comput. Appl., 2023
IMSCSO: An Intensified Sand Cat Swarm Optimization With Multi-Strategy for Solving Global and Engineering Optimization Problems.
IEEE Access, 2023
2021
CMSRAS: A Novel Chaotic Multi-Specular Reflection Optimization Algorithm Considering Shared Nodes.
IEEE Access, 2021
IEEE Access, 2021
2019
Fault Identification of Chemical Processes Based on k-NN Variable Contribution and CNN Data Reconstruction Methods.
Sensors, 2019
Fault Diagnosis of Chemical Processes Based on k-NN Distance Contribution Analysis Method.
Proceedings of the CAA Symposium on Fault Detection, 2019
2016
Modified S transform and ELM algorithms and their applications in power quality analysis.
Neurocomputing, 2016