Theam Foo Ng
Orcid: 0000-0002-9529-4456
According to our database1,
Theam Foo Ng
authored at least 18 papers
between 2008 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Convolutional neural network optimized by differential evolution for electrocardiogram classification.
Multim. Tools Appl., December, 2023
Commun. Stat. Simul. Comput., September, 2023
Literature Survey on Edge Detection-Based Methods for Blood Vessel Segmentation from Retinal Fundus Images.
Proceedings of the 12th International Conference on Robotics, 2023
2022
OES-Fed: a federated learning framework in vehicular network based on noise data filtering.
PeerJ Comput. Sci., 2022
2021
Interactive Blood Vessel Segmentation from Retinal Fundus Image Based on Canny Edge Detector.
Sensors, 2021
Quality Assessment Methods to Evaluate the Performance of Edge Detection Algorithms for Digital Image: A Systematic Literature Review.
IEEE Access, 2021
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
2020
Insights into the effects of control parameters and mutation strategy on self-adaptive ensemble-based differential evolution.
Inf. Sci., 2020
2018
Proceedings of the 10th International Conference on Computer Modeling and Simulation, 2018
2017
Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue-Red Simulation Environment.
IEEE Trans. Emerg. Top. Comput. Intell., 2017
2015
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015
Proceedings of the 2015 IEEE International Conference on Control System, 2015
2014
Introducing MATLAB to Electronic Engineering Undergraduates through Three Weeks Laboratory Sessions.
Int. J. Online Eng., 2014
2012
PhD thesis, 2012
Pattern Recognit., 2012
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012
2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
2008
Simple adaptive median filter for the removal of impulse noise from highly corrupted images.
IEEE Trans. Consumer Electron., 2008