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Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making
Published 2024“…Moreover, the introduction of the novel modified stacked ensemble statistical learning-based algorithm had improved predictive accuracy compared to traditional dichotomous logistic regression algorithms on average, particularly at optimal training-to-test ratios of 70:30, 80:20, and 90:10. …”
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Analyzing enrolment patterns: Modified stacked ensemble statistical learning-based approach to educational decision-making
Published 2024“…Moreover, the introduction of the novel modified stacked ensemble statistical learning-based algorithm had improved predictive accuracy compared to traditional dichotomous logistic regression algorithms on average, particularly at optimal training-to-test ratios of 70:30, 80:20, and 90:10. …”
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Analyzing enrolment patterns: Stacked ensemble statistical learning-based approach to educational decision making
Published 2023“…In Malaysia, Additional Mathematics, equivalent to A-level mathematics, played a vital role in Science, Technology, Engineering, and Mathematics (STEM) education. However, a notable decline in enrolment for the Malaysian Certificate of Education's (SPM’s) Additional Mathematics subject has raised concerns about the implications for Malaysia's STEM workforce and its role in sustainable economic growth. …”
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Modeling total quality management in higher education with case-based reasoning
Published 2023“…The paper concludes with a TQM system model that applies genetic algorithm (GA) in case-based reasoning (CBR) that can be used as guidelines to total quality assurance and management in higher education. …”
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Hybrid genetic random forest algorithm for the identification of ISI-indexed articles / Mohammadreza Moohebat
Published 2017“…The advent of more modern technology and the current educational structure has accelerated this growth. Today, human knowledge grows every hour, and it is more accessible than ever before. …”
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Clustering autism spectrum disorder student’s system based on intelligence, skills and behavior using agglomerative clustering algortihm / Daarin Nadia Nordin
Published 2020“…In dealing with ASD students in a classroom, there are several problems faced by educators such as catering the appropriate method for the student’s educational needs in a classroom setting. …”
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Comparison on machine learning algorithm to fast detection of malicious web pages
Published 2021“…The advance growth of technology today, has simply brought to the increasing of the Internet and online activities such as in business, management, education and other areas. …”
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User-centric learning for multiple access selections
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Predicting STEM academic performance in secondary schools: data mining approach
Published 2019“…STEM is a curriculum based on the idea of educating students in four specific disciplines — science, technology, engineering and mathematics — in an interdisciplinary and applied approach. …”
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N/A and signature analysis for malwares detection and removal
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Thyroid Insight: navigating disease data through interactive visualization with prediction
Published 2025“…The thyroid gland, located in the neck, plays a crucial role in regulating metabolism, growth, and energy through hormones such as thyroxine (T4) and triiodothyronine (T3). …”
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Artificial intelligence in sustainability reporting / Prof. Dr Corina Joseph
Published 2023“…The conference theme, 'Re-thinking the dynamization between environmental issues and adaptive technology for inclusive growth,' saw Prof. Corina delivering her speech titled "AI and SDGs: Resource-Based View Perspective." …”
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Computer-assisted pterygium screening system: a review
Published 2022“…Therefore, this condition needs to be identified as early as possible to halt its growth, with the use of simple eye drops and sunglasses. …”
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The transmission dynamic of the COVID 19 outbreak : a predictive dashboard
Published 2021“…As recognized by the World Health Organization (WHO), modelling the outbreak based on the prior input data is more appropriate than the ‘risk of bias’ for decision-makers. …”
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The transmission dynamic of the COVID 19 outbreak: A predictive dashboard
Published 2021“…As recognized by the World Health Organization (WHO), modelling the outbreak based on the prior input data is more appropriate than the ‘risk of bias’ for decision-makers. …”
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