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Support Vector Machines (SVM) in Test Extraction
Published 2006“…In this project, Support Vector Machines (SVM) is studied and experimented by the implementation ofa textual extractor. …”
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Final Year Project -
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Support Vector Machines (SVM) in Test Extraction
Published 2006“…In this project, Support Vector Machines (SVM) is studied and experimented by the implementation ofa textual extractor. …”
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Final Year Project -
3
Prediction of COVID-19 outbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman
Published 2024“…In response to the unprecedented challenges posed by the COVID-19 pandemic, this research project presents a systematic approach to outbreak prediction, specifically advocating for the implementation of Support Vector Machine (SVM) algorithms. …”
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Thesis -
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Classification Of Cervical Cancer Stage From Pap Smear Tests
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Final Year Project -
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Predicting Suicidal Ideation Via Social Media
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Undergraduates Project Papers -
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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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Automatic Classification of Cervix Type
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Final Year Project -
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EEG-based emotion recognition using machine learning algorithms
Published 2024“…It is because physiological signals are hard to control and more reliable. Thus, this project proposed an optimised machine learning algorithms to classify emotion by analysing brain activity using Electroencephalogram (EEG) signals. …”
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Final Year Project / Dissertation / Thesis -
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Raspberry Pi-Based Finger Vein Recognition System Using PCANet
Published 2018“…However, performance comparison between kNN, kGNN and SVM shows that kNN is more suitable for FVRS implementation. …”
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Monograph -
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A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS
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Final Year Project Report / IMRAD -
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Design of Predictive Model for TCM Tongue Diagnosis In Malaysia Using Machine Learning
Published 2020“…The lack of objectivity and standard evaluation criteria in tongue diagnosis have restricted its development. In this project, machine learning algorithm will be applied to design a predictive model for TCM tongue diagnosis. …”
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Final Year Project / Dissertation / Thesis -
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SYN Flood detection via machine learning / Muhammad Muhaimin Aiman Mazlan
Published 2018“…The core detection and prevention algorithm which is the support vector machine (SVM) were implemented in this project. …”
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Student Project -
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Hotel recommendation system using machine learning
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Final Year Project / Dissertation / Thesis -
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Applying machine learning and particle swarm optimization for predictive modeling and cost optimization in construction project management
Published 2024“…The primary aims of this study encompass the improvement of cost estimation precision, the identification of pivotal factors that impact project costs, and the implementation of strategies aimed at reducing costs. …”
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Article -
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Development Of Vehicle Tracking And Counting System From Traffic Surveillance Video
Published 2015“…Simple tracking and counting algorithm is used to track and count the detected vehicle. …”
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Thesis -
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Productivity monitoring in building construction projects: a systematic review
Published 2021“…Findings: A detailed review was performed, and it was found that traditional methods, computer vision-based and photogrammetry are the most adopted data acquisition for productivity monitoring of building projects, respectively. Machine learning algorithms (ANN, SVM) and BIM were integrated with monitoring tools and technologies to enhance the automated monitoring performance in construction productivity. …”
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Productivity monitoring in building construction projects: a systematic review
Published 2021“…Findings: A detailed review was performed, and it was found that traditional methods, computer vision-based and photogrammetry are the most adopted data acquisition for productivity monitoring of building projects, respectively. Machine learning algorithms (ANN, SVM) and BIM were integrated with monitoring tools and technologies to enhance the automated monitoring performance in construction productivity. …”
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