Weibo Liu
Orcid: 0000-0002-8169-3261Affiliations:
- Brunel University London, Uxbridge, UK (PhD 2020)
- University of Liverpool, UK (former)
According to our database1,
Weibo Liu
authored at least 40 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on brunel.ac.uk
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on orcid.org
On csauthors.net:
Bibliography
2024
A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing.
IEEE Trans Autom. Sci. Eng., April, 2024
An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples.
Neurocomputing, March, 2024
A novel framework for motor bearing fault diagnosis based on multi-transformation domain and multi-source data.
Knowl. Based Syst., January, 2024
A Novel Ensemble-Learning-Based Convolution Neural Network for Handling Imbalanced Data.
Cogn. Comput., January, 2024
2023
IFRN: Insensitive feature removal network for zero-shot mechanical fault diagnosis across fault severity.
Neurocomputing, December, 2023
A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors.
Int. J. Mach. Learn. Cybern., September, 2023
A swarm optimizer with attention-based particle sampling and learning for large scale optimization.
J. Ambient Intell. Humaniz. Comput., July, 2023
An overview of data-driven battery health estimation technology for battery management system.
Neurocomputing, May, 2023
A Novel Deep Offline-to-Online Transfer Learning Framework for Pipeline Leakage Detection With Small Samples.
IEEE Trans. Instrum. Meas., 2023
A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries.
Knowl. Based Syst., 2023
Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach.
IEEE CAA J. Autom. Sinica, 2023
2022
A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Cybern., 2022
Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications.
Int. J. Mach. Learn. Cybern., 2022
A particle swarm optimizer with multi-level population sampling and dynamic <i>p</i>-learning mechanisms for large-scale optimization.
Knowl. Based Syst., 2022
Many-objective optimization meets recommendation systems: A food recommendation scenario.
Neurocomputing, 2022
Neurocomputing, 2022
EEG fading data classification based on improved manifold learning with adaptive neighborhood selection.
Neurocomputing, 2022
A differential evolution with adaptive neighborhood mutation and local search for multi-modal optimization.
Neurocomputing, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Cybern., 2021
A PSO-based deep learning approach to classifying patients from emergency departments.
Int. J. Mach. Learn. Cybern., 2021
Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip.
Neurocomputing, 2021
An optimally weighted user- and item-based collaborative filtering approach to predicting baseline data for Friedreich's Ataxia patients.
Neurocomputing, 2021
A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests.
Cogn. Comput., 2021
Melt pool segmentation for additive manufacturing: A generative adversarial network approach.
Comput. Electr. Eng., 2021
2020
Novel particle swarm optimization algorithms with applications to healthcare data analysis.
PhD thesis, 2020
2019
Event-Triggered Partial-Nodes-Based State Estimation for Delayed Complex Networks With Bounded Distributed Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2019
A Novel Particle Swarm Optimization Approach for Patient Clustering From Emergency Departments.
IEEE Trans. Evol. Comput., 2019
A Deep Learning Approach for Classifying Patient Attendance Disposal from Emergency Departments.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019
2018
Neurocomputing, 2018
A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer's disease.
Neurocomputing, 2018
2017
A switching delayed PSO optimized extreme learning machine for short-term load forecasting.
Neurocomputing, 2017
Neurocomputing, 2017
Proceedings of the 23rd International Conference on Automation and Computing, 2017
2016
Exponential stability of Markovian jumping Cohen-Grossberg neural networks with mixed mode-dependent time-delays.
Neurocomputing, 2016
Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip.
Cogn. Comput., 2016
Proceedings of the 22nd International Conference on Automation and Computing, 2016
2015
Proceedings of the IEEE 81st Vehicular Technology Conference, 2015