Search Results - (( based educational level algorithm ) OR ( java implication based algorithm ))
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E4ML: Educational Tool for Machine Learning
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat
Published 2020“…Based on the initial study conducted, there are 6 factors that have the potential to influence the number of DHF cases in an area, namely temperature (X1), rainfall (X2), population density (X3), altitude (X4), distribution of males (X5), and distribution of education level (X6). …”
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Image encryption algorithm based on chaotic mapping
Published 2003“…GS function extends the algorithm to three-dimension, whereby, the third dimension refers to the level of the grayscale of a pixel. …”
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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. …”
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Professional and public accreditation as an assessment of agricultural educational program quality in Russia / Natalya A. Medvedeva, Nikolay G. Malkov and Marina L. Prozorova
Published 2021“…Professional and public accreditation of agricultural educational programs will allow for an external examination of the educational program implementation level and quality in accordance with approved professional standards and develop recommendations aimed at student training level improvement. …”
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Imbalanced Classification Methods for Student Grade Prediction : A Systematic Literature Review
Published 2023“…The study also presents the most common balancing methods published from 2015 to 2021 and highlights their impact on resolving imbalanced classification in three approaches: data-level, algorithm-level, and hybrid-level. The survey results reveal that the data-level approach using SMOTE oversampling is broadly applied in determining imbalanced problems for student grade prediction. …”
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Imbalanced Classification Methods for Student Grade Prediction: A Systematic Literature Review
Published 2024“…The study also presents the most common balancing methods published from 2015 to 2021 and highlights their impact on resolving imbalanced classification in three approaches: data-level, algorithm-level, and hybrid-level. The survey results reveal that the data-level approach using SMOTE oversampling is broadly applied in determining imbalanced problems for student grade prediction. …”
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Quality inspection of engraved image using based matching approach
Published 2011“…Several objects are engraved on the acrylic souvenir bases with different color background to test the algorithm. …”
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An Artificial Intelligence-Based Knowledge Management System for Outcome-Based Education Implementing in Higher Education Institutions
Published 2025“…Recommendation system on learning analysis was implemented in a hybrid algorithm combines Rule-based and Content-based filtering algorithms. …”
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Students’ attitude towards video-based learning: machine learning analysis with rapid software / Abdullah Sani Abd Rahman ... [et al.]
Published 2022“…The results show that all the three machine learning algorithms produced high accuracy (above 95%) prediction results based on the hold-out testing dataset. …”
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Web-based volunteer management system
Published 2025“…Key innovations include a weighted skill-matching algorithm that evaluates both skills importance level required and volunteer proficiencies, a distance-based matching algorithm using Google Maps Distance Matrix API, and leaderboard gamification elements for volunteer contribution recognition. …”
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Density based subspace clustering: a case study on perception of the required skill
Published 2014“…This thesis proposed subspace clustering based on density connection, named DAta MIning subspace clusteRing Approach (DAMIRA), an improve of subspace clustering algorithm based on density connection. …”
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches
Published 2018“…Therefore, this was not incorporated in BBN models. Based on cross-validation analysis, the score-based algorithm outperformed the constraint-based algorithms in the structural learning. …”
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