Wei Zeng
Orcid: 0000-0002-8353-8265Affiliations:
- Longyan University, School of Mechanical and Electrical Engineering, Longyan, China
- South China University of Technology, College of Automation Science and Engineering, Guangzhou, China (PhD 2012)
According to our database1,
Wei Zeng
authored at least 66 papers
between 2012 and 2024.
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Bibliography
2024
Enhancing human behavior recognition with spatiotemporal graph convolutional neural networks and skeleton sequences.
EURASIP J. Adv. Signal Process., December, 2024
Adaptive Distraction Recognition via Soft Prototype Learning and Probabilistic Label Alignment.
IEEE Trans. Intell. Transp. Syst., November, 2024
Detection of knee osteoarthritis based on recurrence quantification analysis, fuzzy entropy and shallow classifiers.
Multim. Tools Appl., January, 2024
Analysis and classification of gait patterns in osteoarthritic and asymptomatic knees using phase space reconstruction, intrinsic time-scale decomposition and neural networks.
Multim. Tools Appl., 2024
Advancing cardiac diagnostics: Exceptional accuracy in abnormal ECG signal classification with cascading deep learning and explainability analysis.
Appl. Soft Comput., 2024
2023
Enhancing medical image object detection with collaborative multi-agent deep Q-networks and multi-scale representation.
EURASIP J. Adv. Signal Process., December, 2023
Knowl. Based Syst., October, 2023
Exploring gait analysis and deep feature contributions to the screening of cervical spondylotic myelopathy.
Appl. Intell., October, 2023
Detection of cervical spondylotic myelopathy based on gait analysis and deterministic learning.
Artif. Intell. Rev., September, 2023
Abnormal heart sound detection from unsegmented phonocardiogram using deep features and shallow classifiers.
Multim. Tools Appl., July, 2023
Epileptic EEG Identification Based on Dual Q-Factor Signal Decomposition (DQSD), Fast and Adaptive Multivariate Empirical Mode Decomposition (FA-MVEMD) and Neural Networks.
Circuits Syst. Signal Process., June, 2023
A novel technique for the detection of myocardial dysfunction using ECG signals based on CEEMD, DWT, PSR and neural networks.
Artif. Intell. Rev., April, 2023
Arrhythmia detection using TQWT, CEEMD and deep CNN-LSTM neural networks with ECG signals.
Multim. Tools Appl., 2023
Vector Field-Based Guidance for Planar Smooth Path Following of a Small Unmanned Helicopter.
J. Robotics, 2023
Kinematics Model Estimation of 4W Skid-Steering Mobile Robots Using Visual Terrain Classification.
J. Robotics, 2023
Recognizing knee pathologies by using gait dynamics via kernel principal component analysis and deterministic learning theory.
J. Ambient Intell. Humaniz. Comput., 2023
Automatic detection of heart valve disorders using Teager-Kaiser energy operator, rational-dilation wavelet transform and convolutional neural networks with PCG signals.
Artif. Intell. Rev., 2023
Proceedings of the American Control Conference, 2023
Boundary Tracking Control for An Unstable Wave Equation with Boundary Uncertainties: A Backstepping Adaptive NN Approach.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023
2022
Int. J. Control, 2022
CoRR, 2022
Curved Path Following Controller for 4W Skid-Steering Mobile Robots Using Backstepping.
IEEE Access, 2022
Adaptive NN-Based Boundary Control for Output Tracking of A Wave Equation with Matched and Unmatched Boundary Uncertainties.
Proceedings of the American Control Conference, 2022
Localized Motion Dynamics Modeling of A Soft Robot: A Data-Driven Adaptive Learning Approach.
Proceedings of the American Control Conference, 2022
2021
A novel technique for the detection of myocardial dysfunction using ECG signals based on hybrid signal processing and neural networks.
Soft Comput., 2021
ECG arrhythmia classification based on variational mode decomposition, Shannon energy envelope and deterministic learning.
Int. J. Mach. Learn. Cybern., 2021
Intelligent adaptive learning and control for discrete-time nonlinear uncertain systems in multiple environments.
Neurocomputing, 2021
The impact of feature extraction and selection for the classification of gait patterns between ACL deficient and intact knees based on different classification models.
EURASIP J. Adv. Signal Process., 2021
IEEE Control. Syst. Lett., 2021
A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks.
Artif. Intell. Rev., 2021
Detection of heart valve disorders from PCG signals using TQWT, FA-MVEMD, Shannon energy envelope and deterministic learning.
Artif. Intell. Rev., 2021
Horizontal Nonlinear Path Following Guidance Law for a Small UAV With Parameter Optimized by NMPC.
IEEE Access, 2021
Adaptive NN-Based Reference-Tracking Control of Uncertain Nonlinear Parabolic PDE Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Classification of gait patterns in patients with unilateral anterior cruciate ligament deficiency based on phase space reconstruction, Euclidean distance and neural networks.
Soft Comput., 2020
Composite adaptive NN learning and control for discrete-time nonlinear uncertain systems in normal form.
Neurocomputing, 2020
Cooperative Adaptive Learning Control for A Group of Nonholonomic UGVs by Output Feedback.
CoRR, 2020
Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks.
Artif. Intell. Medicine, 2020
Identification of epileptic seizures in EEG signals using time-scale decomposition (ITD), discrete wavelet transform (DWT), phase space reconstruction (PSR) and neural networks.
Artif. Intell. Rev., 2020
Detecting the presence of anterior cruciate ligament deficiency based on a double pendulum model, intrinsic time-scale decomposition (ITD) and neural networks.
Artif. Intell. Rev., 2020
Detecting the presence of anterior cruciate ligament injury based on gait dynamics disparity and neural networks.
Artif. Intell. Rev., 2020
Similar Fault Isolation of Discrete-Time Nonlinear Uncertain Systems: An Adaptive Threshold Based Approach.
IEEE Access, 2020
Switching Model Predictive Control of Switched Linear Systems with Average Dwell Time.
Proceedings of the 2020 American Control Conference, 2020
2019
Classification of Gait Patterns Using Kinematic and Kinetic Features, Gait Dynamics and Neural Networks in Patients with Unilateral Anterior Cruciate Ligament Deficiency.
Neural Process. Lett., 2019
Classification of gait patterns between patients with Parkinson's disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and neural networks.
Neural Networks, 2019
Output containment control of heterogeneous multi-agent systems with leaders of bounded inputs: An adaptive finite-time observer approach.
J. Frankl. Inst., 2019
Composite cooperative synchronization and decentralized learning of multi-robot manipulators with heterogeneous nonlinear uncertain dynamics.
J. Frankl. Inst., 2019
Small fault detection from discrete-time closed-loop control using fault dynamics residuals.
Neurocomputing, 2019
Classification of asymptomatic and osteoarthritic knee gait patterns using gait analysis via deterministic learning.
Artif. Intell. Rev., 2019
Classification of focal and non focal EEG signals using empirical mode decomposition (EMD), phase space reconstruction (PSR) and neural networks.
Artif. Intell. Rev., 2019
Kinect-based hand gesture recognition using trajectory information, hand motion dynamics and neural networks.
Artif. Intell. Rev., 2019
2018
Multim. Tools Appl., 2018
H∞ output containment control of heterogeneous multi-agent systems via distributed dynamic output feedback.
J. Frankl. Inst., 2018
Cooperative deterministic learning control for a group of homogeneous nonlinear uncertain robot manipulators.
Sci. China Inf. Sci., 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
H<sub>∞</sub> Output Containment Control of Heterogeneous Continuous-Time Multi-Agent Systems.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Fusion of spatial-temporal and kinematic features for gait recognition with deterministic learning.
Pattern Recognit., 2017
2016
2015
Classification of neurodegenerative diseases using gait dynamics via deterministic learning.
Inf. Sci., 2015
Neurocomputing, 2015
Neurocomputing, 2015
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015
2014
Pattern Recognit., 2014
2013
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2013
2012