Kuo Chi

Orcid: 0000-0003-0218-4301

According to our database1, Kuo Chi authored at least 13 papers between 2015 and 2023.

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Bibliography

2023
A Potential Game Approach to Multi-UAV Accurate Coverage Based on Deterministic Radio Wave Propagation Model in Urban Area.
IEEE Access, 2023

2020
Intelligent Fault Diagnosis of Gearbox based on Multiple Synchrosqueezing S-Transform and Convolutional Neural Networks.
Int. J. Perform. Eng., 2020

Efficient and fair Wi-Fi and LTE-U coexistence via communications over content centric networking.
Future Gener. Comput. Syst., 2020

2019
An adaptive underdamped stochastic resonance based on NN and CS for bearing fault diagnosis.
Int. J. Syst. Assur. Eng. Manag., 2019

Corrigendum to "Link prediction in dynamic networks based on the attraction force between nodes" [Knowl.-Based Syst. 181 (2019) 104792].
Knowl. Based Syst., 2019

Link prediction in dynamic networks based on the attraction force between nodes.
Knowl. Based Syst., 2019

Effect of scale-varying fractional-order stochastic resonance by simulation and its application in bearing diagnosis.
Int. J. Model. Simul. Sci. Comput., 2019

2018
The fault diagnosis method of RVM based on FOA and improved multi-class classification algorithm.
Int. J. High Perform. Comput. Netw., 2018

Enabling Fair Spectrum Sharing between Wi-Fi and LTE-Unlicensed.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2016
A Novel Multi-class Classification Approach Based on Fruit Fly Optimization Algorithm and Relevance Vector Machine.
Proceedings of the 2016 International Conference on Intelligent Networking and Collaborative Systems, 2016

Multi-class Intelligent Fault Diagnosis Approach Based on Modified Relevance Vector Machine.
Proceedings of the 2016 International Conference on Intelligent Networking and Collaborative Systems, 2016

Bayesian Parameter Estimation of Weibull Mixtures Using Cuckoo Search.
Proceedings of the 2016 International Conference on Intelligent Networking and Collaborative Systems, 2016

2015
Research on Fault Diagnosis Method Using Improved Multi-Class Classification Algorithm and Relevance Vector Machine.
Int. J. Inf. Technol. Web Eng., 2015


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