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Support Vector Machines (SVM) in Test Extraction
Published 2006“…Evaluation of the applications are carried out against another accompanying system-generated extract which is already in the market, as a means to observe the amount of sentences overlap with the tested applications, in this case, the Text Extractor and also Microsoft Word AutoSummarizer. …”
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Final Year Project -
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Support Vector Machines (SVM) in Test Extraction
Published 2006“…Evaluation of the applications are carried out against another accompanying system-generated extract which is already in the market, as a means to observe the amount of sentences overlap with the tested applications, in this case, the Text Extractor and also Microsoft Word AutoSummarizer. …”
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Final Year Project -
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Comparison of machine learning algorithms for estimating mangrove age using sentinel 2A at Pulau Tuba, Kedah, Malaysia / Fareena Faris Francis Singaram
Published 2021“…The supervised machine learning algorithm, SVM and Decision Tree are used for the estimation of the mangrove age into young and mature. …”
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Thesis -
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Improving Support Vector Machine Performance using Modified Similarity Distance Plotting-Data Reduction
Published 2025“…The Support Vector Machine (SVM) is well-regarded for its high classification accuracy, but its computational efficiency is often challenged by large datasets. …”
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Gender identification using support vector machines
Published 2023“…This thesis is introduces SVM theory application and its algorithmic implementations.…”
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Classification of Citrus (Rutaceae) by Using Image Processing
Published 2019“…A machine learning algorithms, SVM have been used to build species identification models. …”
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Undergraduate Final Project Report -
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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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Fault classification in smart distribution network using support vector machine
Published 2023“…In this paper, a machine-learning algorithm known as Support Vector Machine (SVM) for fault type classification in distribution system has been developed. …”
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Design of a pattern classification system using extreme learning machine
Published 2024text::Final Year Project -
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Intelligent decision support systems: transforming smart cities management
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Proceeding Paper -
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Wearable based-sensor fall detection system using machine learning algorithm
Published 2021“…To prevent such kinds of deadly scenarios, a reliable fall detection system must be developed to help many lives. In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. …”
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Proceeding Paper -
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Signature verification system using support vector machine
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Conference or Workshop Item -
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Design of a pattern classification system using extreme learning machine
Published 2023text::Final Year Project -
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Sentiment analysis of customer review for Tina Arena Beauty
Published 2025“…Three machine learning algorithms Naive Bayes, Random Forest, and Support Vector Machine (SVM) were evaluated, and SVM achieved the highest accuracy and was selected as the final classifier. …”
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Student Project -
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Performance of Sentinel-2A remote sensing system for urban area mapping in Malaysia via pixel-based and OBIA methods
Published 2021“…From the analysis, the use of SVM pixel-based classification for medium spatial resolution Sentinel-2A data is effective for urban mapping in Malaysia and useful for future long-term mapping applications.…”
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A Performance Comparison of Various Artificial Intelligence Approaches for Estimation of Sediment of River Systems
Published 2023“…The results also show a promising application of machine learning for future prediction in hydro-informatic systems. � 2021, Journal of Ecological Engineering. …”
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm
Published 2025“…Intent-IQ is a web application system which allows users to input Shopee product link and it leads to the intent classification, where the reviews can be classified into its intent categories such as praise, complaint and suggestion. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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