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Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif
Published 2014“…Support Vector Machine (SVM) is among the popular learning algorithm for classification in soft computing techniques. …”
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Research Reports -
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Perceptions and practices of blended learning in foreign language teaching at USIM
Published 2024journal::journal article -
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Stock price prediction using machine learning: evidence from Pakistan stock exchange
Published 2024“…The study also suggests future directions for research, including the use of alternative data sources, sentiment analysis, and more sophisticated algorithms. The study's findings have implications for investors and financial organizations, demonstrating the potential of machine learning to make more educated investment decisions and enhance financial forecasting and analysis.…”
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Student resource exchange: a web-based system for sharing educational resources among students
Published 2025“…This system aims to provide a more efficient, user-friendly, and engaging platform for students to exchange educational resources, ultimately fostering a more collaborative and accessible learning environment.…”
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Final Year Project / Dissertation / Thesis -
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Optimizing kindergarten schedule using : graph coloring / Nur Nabilah Salleh Muner
Published 2019“…It provides platform for developing early childhood education that combines learning with play. These will develop children’s mind and connecting their brain cells for become creative thinker. …”
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An early warning system for students at risk using supervised machine learning
Published 2024“…The main objective of this study is to create an early warning system for educators to use in educational institutions. For that, this study will perform a study of the current issues, factors, and solutions in education student’s data, determine the supervised machine learning algorithms, compare which model is the best predict the students’ performances, develop an early warning system for the educators to make an early decision in order to assist and consult the at-risk students, and finally conduct testing and evaluation of the system. …”
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Application of target detection method based on convolutional neural network in sustainable outdoor education
Published 2023“…The acquisition system of underwater camera information of manned submersibles is designed through the Single Shot-MultiBox Detector algorithm of deep learning. Furthermore, CNN is adopted to classify the underwater target images, which realizes the intelligent detection and classification of underwater targets. …”
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Predicting students’ STEM academic performance in Malaysian secondary schools using educational data mining
Published 2023“…Data mining has been widely applied in educational area recently and it is commonly called Educational Data Mining (EDM). …”
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Thesis -
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The level of effectiveness of healthcare education on TikTok
Published 2025“…The platform's algorithm enhances message dissemination, reaching previously inaccessible demographics. …”
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Artificial intelligence in sustainability reporting / Prof. Dr Corina Joseph
Published 2023“…Dr Corina Joseph has been invited as a plenary speaker at the International Conference on Economics, Business, and Economic Education Science (ICE-BEES) organized by Universitas Negeri Semarang, Indonesia, from 30th to 31st May 2023. …”
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Humanizing AI in Higher Education: Rethinking HR, Ethics, and Skill Development for University Employees in the SDG Era
Published 2025“…Based on these findings, the paper proposes a Humanizing AI in Higher Education Framework focusing on ethical accountability, diversified HR policies, and continuous professional learning, aligned with the United Nations Sustainable Development Goals (SDG 4 - Quality Education, SDG 8 - Decent Work, and SDG 16 - Peace, Justice, and Strong Institutions). …”
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Enhancing fairness and efficiency in teacher placement based on staff placement model: an intelligent teacher placement selection model for Ministry of Education Malaysia
Published 2025“…The effectiveness of ITPS was evaluated using five machine learning algorithms: J48, Decision Tree, Naïve Bayes, Random Forest, and K-Nearest Neighbors. …”
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