Xiu Kan
Orcid: 0000-0003-1586-8702
According to our database1,
Xiu Kan
authored at least 16 papers
between 2013 and 2023.
Collaborative distances:
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Bibliography
2023
Data adjusting strategy and optimized XGBoost algorithm for novel insider threat detection model.
J. Frankl. Inst., November, 2023
2022
An adaptive simulated annealing and artificial fish swarm algorithm for the optimization of multi-depot express delivery vehicle routing.
Intell. Data Anal., 2022
2021
Facial Expression Recognition of Industrial Internet of Things by Parallel Neural Networks Combining Texture Features.
IEEE Trans. Ind. Informatics, 2021
A Novel Adaptive Mutation PSO Optimized SVM Algorithm for sEMG-Based Gesture Recognition.
Sci. Program., 2021
A novel IoT network intrusion detection approach based on Adaptive Particle Swarm Optimization Convolutional Neural Network.
Inf. Sci., 2021
Study of Driving Cycle of City Tour Bus Based on Coupled GA-K-Means and HMM Algorithms: A Case Study in Beijing.
IEEE Access, 2021
2020
EMG Pattern Recognition based on Particle Swarm Optimization and Recurrent Neural Network.
Int. J. Perform. Eng., 2020
A Novel PSO-Based Optimized Lightweight Convolution Neural Network for Movements Recognizing from Multichannel Surface Electromyogram.
Complex., 2020
2019
Robust state estimation for stochastic complex-valued neural networks with sampled-data.
Neural Comput. Appl., 2019
Research on Underwater Wireless Sensor Network and MAC Protocol and Location Algorithm.
IEEE Access, 2019
2018
Robust <i>H</i><sub>∞</sub> state estimation for BAM neural networks with randomly occurring uncertainties and sensor saturations.
Neurocomputing, 2018
2017
Neural Process. Lett., 2017
2014
<i>H</i><sub>∞</sub> fault detection with randomly occurring nonlinearities and channel fadings.
Int. J. Syst. Sci., 2014
Robust state estimation for discrete-time neural networks with mixed time-delays, linear fractional uncertainties and successive packet dropouts.
Neurocomputing, 2014
2013
State estimation for discrete-time delayed neural networks with fractional uncertainties and sensor saturations.
Neurocomputing, 2013