Qichun Zhang

Orcid: 0000-0003-2479-8195

According to our database1, Qichun Zhang authored at least 48 papers between 2015 and 2024.

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

Timeline

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On csauthors.net:

Bibliography

2024
Self-supervised anomaly detection based on foreground enhancement and autoencoder reconstruction.
Signal Image Video Process., February, 2024

Multi-scale feature flow alignment fusion with Transformer for the microscopic images segmentation of activated sludge.
Signal Image Video Process., 2024

2023
Data-Driven Minimum Entropy Control for Stochastic Nonlinear Systems Using the Cumulant-Generating Function.
IEEE Trans. Autom. Control., August, 2023

Decentralised fully probabilistic design for stochastic networks with multiplicative noise.
Int. J. Syst. Sci., June, 2023

The 3rd International Workshop on Deep Learning for the Web of Things.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Towards a Revolutionary Info-Geometric Control Theory with Potential Applications of Fokker Planck Kolmogorov(FPK) Equation to System Control, Modelling and Simulation.
Proceedings of the 28th International Conference on Automation and Computing, 2023

$\mathbb{Z}_{a, b}$ of the Stable Five-Dimensional $M/G/1$ Queue Manifold Formalism's Info- Geometric Structure with Potential Info-Geometric Applications to Human Computer Collaborations and Digital Twins.
Proceedings of the 28th International Conference on Automation and Computing, 2023

An Improved YOLOv5 Detection Method for Strip Surface Defect.
Proceedings of the 28th International Conference on Automation and Computing, 2023

2022
A Novel Data-Based Stochastic Distribution Control for Non-Gaussian Stochastic Systems.
IEEE Trans. Autom. Control., 2022

A Wavelet Packet Transform and Convolutional Neural Network Method Based Ultrasonic Detection Signals Recognition of Concrete.
Sensors, 2022

A weight initialization method based on neural network with asymmetric activation function.
Neurocomputing, 2022

Variance and Entropy Assignment for Continuous-Time Stochastic Nonlinear Systems.
Entropy, 2022

Study on the Impact of High-Quality Economic Development and Flood Resilience on Flood Damage in the Yangtze River basin: Evidence from Provincial Administrative Regions in the Yangtze River Basin.
Complex., 2022

DLWoT'22: 2nd International Workshop on Deep Learning for the Web of Things.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

An Introductory Survey of Entropy Applications to Information Theory, Queuing Theory, Engineering, Computer Science, and Statistical Mechanics.
Proceedings of the 27th International Conference on Automation and Computing, 2022

Inductive Inferences of Z-Entropy Formalism (ZEF) Stable M/G/1 Queue with Heavy Tails.
Proceedings of the 27th International Conference on Automation and Computing, 2022

Digital Circuit Simulator Development with CNN Integration.
Proceedings of the 27th International Conference on Automation and Computing, 2022

Formation Drilling RoP Prediction via Deep Neural Networks with TensorFlow.
Proceedings of the 27th International Conference on Automation and Computing, 2022

2021
Stochastic distribution tracking control for stochastic non-linear systems via probability density function vectorisation.
Trans. Inst. Meas. Control, 2021

Design and Performance Analysis of an Ultrasonic System for Health Monitoring of Concrete Structure.
Sensors, 2021

Ultrasonic based concrete defects identification <i>via</i> wavelet packet transform and GA-BP neural network.
PeerJ Comput. Sci., 2021

Defect Recognition in Concrete Ultrasonic Detection Based on Wavelet Packet Transform and Stochastic Configuration Networks.
IEEE Access, 2021

Fuzzy Command Filtered Backstepping Control for Nonlinear System With Nonlinear Faults.
IEEE Access, 2021

Driver Behaviour Modelling: Travel Prediction Using Probability Density Function.
Proceedings of the Advances in Computational Intelligence Systems, 2021

Driver Behaviour Clustering Using Discrete PDFs and Modified Markov Algorithm.
Proceedings of the Advances in Computational Intelligence Systems, 2021

State Estimation for Stochastic Non-linear Systems via Backstepping Design.
Proceedings of the 26th International Conference on Automation and Computing, 2021

Variance Assignment for a Class of Stochastic Non-linear Systems.
Proceedings of the 26th International Conference on Automation and Computing, 2021

Unsupervised Learning for Oil Drilling Data Classification.
Proceedings of the 26th International Conference on Automation and Computing, 2021

Dynamic Observer with Complex Coefficient Filter for Fault Detection.
Proceedings of the 26th International Conference on Automation and Computing, 2021

Research on machining accuracy of workpiece oriented to autonomous behavior of equipment.
Proceedings of the 26th International Conference on Automation and Computing, 2021

2020
RBFNN-Based Minimum Entropy Filtering for a Class of Stochastic Nonlinear Systems.
IEEE Trans. Autom. Control., 2020

Output Feedback Stabilization for MIMO Semi-linear Stochastic Systems with Transient Optimisation.
Int. J. Autom. Comput., 2020

Nonvolatile Flexible Memory Based on a Planar Zigzag-Type Nitrogen-Doped Picene.
Adv. Intell. Syst., 2020

An EKF-Based Performance Enhancement Scheme for Stochastic Nonlinear Systems by Dynamic Set-Point Adjustment.
IEEE Access, 2020

Neural Membrane Mutual Coupling Characterisation Using Entropy-Based Iterative Learning Identification.
IEEE Access, 2020

2019
Data-driven Distribution Tracking for Stochastic Non-linear Systems via PID Design.
Proceedings of the 25th International Conference on Automation and Computing, 2019

Entropy-based Extended Kalman Filtering for Stochastic Non-linear Systems with Polynomial Compensation.
Proceedings of the 25th International Conference on Automation and Computing, 2019

2018
EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems.
IEEE Trans. Autom. Control., 2018

Output Feedback Stabilization for Dynamic MIMO Semi-linear Stochastic Systems with Output Randomness Attenuation.
Proceedings of the 24th International Conference on Automation and Computing, 2018

A Survey of the Probability Density Function Control for Stochastic Dynamic Systems.
Proceedings of the 24th International Conference on Automation and Computing, 2018

2017
Output Feedback Stabilization for a Class of Multi-Variable Bilinear Stochastic Systems With Stochastic Coupling Attenuation.
IEEE Trans. Autom. Control., 2017

A statistical description of pairwise interaction between nerve fibres?
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Modelling and Control Design for Membrane Potential Conduction Along Nerve Fibre Using B-spline Neural Network.
Proceedings of the Advanced Computational Methods in Life System Modeling and Simulation, 2017

Parametric decoupling control strategy for a class of nonlinear uncertain systems via observer-based output feedback.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

A model study of the neural interaction via mutual coupling factor identification.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

RBFNN-based Modelling and Analysis for the Signal Reconstruction of Peripheral Nerve Tissue.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2015
Parametric covariance assignment using reduced-order closed-form covariance model.
Proceedings of the 21st International Conference on Automation and Computing, 2015

Minimized coupling in probability sense for a class of multivariate dynamic stochastic control systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015


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