Daphne Teck Ching Lai
Orcid: 0000-0001-8290-8941Affiliations:
- Universiti Brunei Darussalam, Brunei
- University of Nottingham, UK (former)
According to our database1,
Daphne Teck Ching Lai
authored at least 36 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
Human Activity Discovery With Automatic Multi-Objective Particle Swarm Optimization Clustering With Gaussian Mutation and Game Theory.
IEEE Trans. Multim., 2024
2023
Spatial-temporal mapping of forest vegetation cover changes along highways in Brunei using deep learning techniques and Sentinel-2 images.
Ecol. Informatics, November, 2023
Automatic Deep Sparse Multi-Trial Vector-based Differential Evolution clustering with manifold learning and incremental technique.
Image Vis. Comput., August, 2023
FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023
A Novel Skeleton-Based Human Activity Discovery Using Particle Swarm Optimization With Gaussian Mutation.
IEEE Trans. Hum. Mach. Syst., 2023
Corpus creation and language identification for code-mixed Indonesian-Javanese-English Tweets.
PeerJ Comput. Sci., 2023
Digital Detection of Acacia Mangium Trees via Remote Sensing for Controlling the Invasive Population of Biodiversity Threats: Case Study in Brunei.
Proceedings of the 12th International Conference on Informatics, 2023
2022
Segmentation for Multi-Rock Types on Digital Outcrop Photographs Using Deep Learning Techniques.
Sensors, 2022
Dynamic Regressor/Ensemble Selection for a Multi-Frequency and Multi-Environment Path Loss Prediction.
Inf., 2022
Profiling Obese Subgroups in National Health and Nutritional Status Survey Data using Machine Learning Techniques: A Case Study from Brunei Darussalam.
CoRR, 2022
A Novel Skeleton-Based Human Activity Discovery Technique Using Particle Swarm Optimization with Gaussian Mutation.
CoRR, 2022
Physics-Informed Neural Network (PINN) Evolution and Beyond: A Systematic Literature Review and Bibliometric Analysis.
Big Data Cogn. Comput., 2022
A Systematic Review on Language Identification of Code-Mixed Text: Techniques, Data Availability, Challenges, and Framework Development.
IEEE Access, 2022
IEEE Access, 2022
Improved data clustering using multi-trial vector-based differential evolution with gaussian crossover.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
Classification and Prediction of Driving Behaviour at a Traffic Intersection Using SVM and KNN.
SN Comput. Sci., 2021
Inf. Technol. Control., 2021
Identification and Classification of Driving Behaviour at Signalized Intersections Using Support Vector Machine.
Int. J. Autom. Comput., 2021
Algorithms, 2021
Investigating Automated Hyper-Parameter Optimization for a Generalized Path Loss Model.
Proceedings of CECNet 2021, 2021
Hybrid Multiobjective Evolutionary Algorithms for Unsupervised QPSO, BBPSO and Fuzzy clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Soft Comput., 2020
2019
An Effective and Efficient Constrained Ward's Hierarchical Agglomerative Clustering Method.
Proceedings of the Intelligent Systems and Applications, 2019
2017
Neural computing for walking gait pattern identification based on multi-sensor data fusion of lower limb muscles.
Neural Comput. Appl., 2017
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2017
Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017
2016
An EMG Knowledge-Based System for Leg Strength Classification and Vertical Jump Height Estimation of Female Netball Players.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016
2014
An exploration of improvements to semi-supervised fuzzy c-means clustering for real-world biomedical data.
PhD thesis, 2014
A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-means.
Central Eur. J. Oper. Res., 2014
Identifying stable breast cancer subgroups using semi-supervised fuzzy c-means on a reduced panel of biomarkers.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
2013
Improving semi-supervised fuzzy c-means classification of Breast Cancer data using feature selection.
Proceedings of the FUZZ-IEEE 2013, 2013
2012
Investigating Distance Metrics in Semi-supervised Fuzzy c-Means for Breast Cancer Classification.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2012
2011
Proceedings of the FUZZ-IEEE 2011, 2011