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A class skew-insensitive ACO-based decision tree algorithm for imbalanced data sets
Published 2021“…Ant-tree-miner (ATM) has an advantage over the conventional decision tree algorithm in terms of feature selection. …”
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Parsing algorithms for grammars with regulated rewriting
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Proceeding Paper -
3
Support Vector Machines (SVM) in Test Extraction
Published 2006“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
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Final Year Project -
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Support Vector Machines (SVM) in Test Extraction
Published 2006“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
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5
Wearable based-sensor fall detection system using machine learning algorithm
Published 2021“…However, other classifiers like Decision Tree and kNN had 100% accuracy too. This means that the proposed system achieved its goals. …”
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Proceeding Paper -
6
Integrated reconstruction of 2D overlapping coronary artery from x-ray angiography with 3D virtual myocardial model using non-rigid iterative closest point algorithm
Published 2019“…In the reconstructed coronary artery tree. Its peculiar advantage lies in the 3D reconstruction of the coronary artery tree from X-ray angiographic images without the need for corresponding points between vessels in each view. …”
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Thesis -
7
Application of machine learning algorithms to predict removal efficiency in treating produced water via gas hydrate-based desalination
Published 2025“…In this context. ML algorithms provide powerful data driven means to model complex relationship within experimental datasets to improve process optimisation This study systematically evaluated several supervised ML models, including Random Forest (RF) Support Vector Machines (SVM), Ridge Regression, Lasso Regression, Decision Tree, Extra Tree Regression, Gradient Boost, and XGBoost, to predict removal efficiency in GHBD system. …”
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Intelligent grading of agarwood essential oil quality using artificial neural network (ANN) / Noratikah Zawani Mahabob
Published 2022“…The training and validation of the ANN was based on optimization of its training parameters and guided by the convergence of the mean squared errors (MSE). …”
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A Stacked Ensemble Deep Learning Approach For Imbalanced Multi-class Water Quality Index Prediction
Published 2024journal::journal article -
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. …”
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11
An Intelligent System Approach to the Dynamic Hybrid Robot Control
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Thesis -
12
Crown counting and mapping of missing oil palm tree using airborne imaging system
Published 2019“…The undetected group of missing oil palms trees are estimated based on the planting pattern design. …”
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Determination of tree height based on tree crown using algorithm derived from UAV imagery / Suzanah Abdullah ... [et al.]
Published 2021“…In this study, UAV technology has been taking a look at several algorithms for estimating tree height value of a single tree crown. …”
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15
Enhancing time series prediction with Hybrid AFSA-TCN: A unified approach to temporal data and optimization
Published 2025“…Time series data, with its sequential dependencies presents a unique challenge for traditional machine learning methods such as Random Forest (RF), Support Vector Machines (SVM), and Decision Trees (DT), which often struggle to capture temporal patterns effectively. …”
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Driver behaviour classification: a research using OBD-II data and machine learning
Published 2024“…Classification of driver behaviour has gained much attention due to its potential in a variety of applications, and On-Board Diagnostic (OBD) real-time data is often underutilised. …”
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Photogrammetric unmanned aerial vehicle for digital terrain model estimation under oil palm tree canopy area / Suzanah Abdullah
Published 2021“…The DTM estimation was retrieved from the difference between DSM and tree height. The accuracy of the DTM was further tested based on in situ experiments and analysed based on RMSE. …”
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Reinforcement Learning Algorithm for Optimising Durian Irrigation Systems: Maximising Growth and Water Efficiency
Published 2024“…This study presents a Reinforcement Learning-based algorithm designed to optimise irrigation for Durio Zibethinus (i.e., durian) trees, aiming to maximise tree growth and reduce water usage. …”
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Estimating tree height based on tree crown from UAV imagery / Suzanah Abdullah ... [et al.]
Published 2022“…Subsequently, the tree height has been calculated based on the tree crown extraction. …”
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