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1
Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm
Published 2025“…This paper presents a novel discrete Whale Optimization Algorithm approach, integrating the strengths of population-based and local-search algorithms for addressing the examination timetabling problem, a significant challenge many educational institutions face. …”
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2
Optimizing decentralized exam timetabling with a discrete whale optimization algorithm
Published 2025“…This paper presents a novel discrete Whale Optimization Algorithm approach, integrating the strengths of population-based and local-search algorithms for addressing the examination timetabling problem, a significant challenge many educational institutions face. …”
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3
Quality inspection of engraved image using based matching approach
Published 2011“…The extracted contour is used as template for object recognition during matching process. Several objects are engraved on the acrylic souvenir bases with different color background to test the algorithm. …”
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4
Hybrid BLEU Algorithm For Structured Exam Management System
Published 2008“…This system incorporate algorithm BLEU into the expert system to check the answer and evaluate marks for every assessment. …”
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5
Designing and implementation of robot mapping algorithm for mobile robot
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6
Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: a preliminary study
Published 2024“…Conclusion: The findings demonstrated the application of ML algorithms and PCC to predict dental students’ academic performance. …”
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Feature selection methods application towards a new dataset based on online student activities / Muhammad Hareez Mohd Zaki ... [et al.]
Published 2023“…In addition, the availability of data from various academic information management systems in recent years had been increasing, causing classification to become a technique that is in demand by the educational institutes. …”
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Artificial Intelligence (AI) to predict dental student academic performance based on pre-university results
Published 2022“…Methods: Various Machine Learning (ML) algorithms were applied using academic result samples of graduates of the Kulliyyah of Dentistry, IIUM from 2012-2017. …”
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9
Artificial Intelligence (AI) to predict dental student academic performance based on pre university results
Published 2021“…Machine Learning Algorithm is applied using academic result samples of graduates of the Kulliyyah of Dentistry, IIUM from 2016-2021. …”
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10
Academic Achievement Prediction Model Using Neural Networks
Published 2002“…A neural network technique, using Multi Layer Perceptron (MLP) and back propagation algorithm was employed. A total of 248 data samples from Information Technology and Multimedia Diploma students were collected, trained and tested using this model. …”
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11
A practical and interactive web-based software for online Qur'anic Arabic learning
Published 2016“…We also present some feedback of the user community built around the initial prototype which serves as a framework for capturing requirements from the world-wide user base (for each iteration) which is an essential component for the design based research methodology of the work…”
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12
Technical efficiency performance of Malaysian public research universities: Fuzzy data envelopment analysis / Saber Abdelall Mohamed Ahmed
Published 2023“…By utilizing Fuzzy DEA (FDEA) model with algorithm, this study observes the PRUMs efficiency status during the study period and the expected average efficiency for the next 2021/2022 academic year. …”
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13
A practical and interactive web-based software for online Qur’anic Arabic learning
Published 2017“…We also present some feedback of the user community built around the initial prototype which serves as a framework for capturing requirements from the world-wide user base (for each iteration) which is an essential component for the design based research methodology of the work.…”
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Mental Stress Classification Among Higher Education Students In Malaysia From Electroencephalogram (Eeg) Using Convolutional Neural Network With Modified Stochastic Gradient D...
Published 2024“…Moreover, there is a lack of optimization in stress detection models, specifically in handling EEG data, which can affect the models’ accuracy and real-time application potential. To address these challenges, EEG signals were collected during Stroop tests and self-reported stress levels were measured using the Perceived Stress Scale (PSS). …”
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15
استخدامات الفيديوجراف في صفحات الفيس بوك الإخبارية الفلسطينية وانعكاساتها في نسبة تفاعلية الجمهور : دراسة تحليلية مقارنة لصفحات الفيس بوك الإخبارية...
Published 2025thesis::doctoral thesis -
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An investigation into influence factor of student programming grade using association rule mining
Published 2010“…Researches indicated there are many factors can affect student programming performance.Thus, the aim of this study is to investigate the significant factors that may influence students programming performance based information from previous student performance using data mining technique. …”
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E4ML: Educational Tool for Machine Learning
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A study of feature selection algorithms for predicting students academic performance
Published 2018“…In EDM, Feature Selection (FS) plays a vital role in improving the quality of prediction models for educational datasets. FS algorithms eliminate unrelated data from the educational repositories and hence increase the performance of classifier accuracy used in different EDM practices to support decision making for educational settings. …”
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A study of feature selection algorithms for predicting students academic performance
Published 2018“…In EDM, Feature Selection (FS) plays a vital role in improving the quality of prediction models for educational datasets. FS algorithms eliminate unrelated data from the educational repositories and hence increase the performance of classifier accuracy used in different EDM practices to support decision making for educational settings. …”
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First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms
Published 2014“…The comparative analysis is also conducted to discover the best classification model for prediction. From the experiment, the models develop using Rule Based and Decision Tree algorithm shows the best result compared to the model develop from the Naïve Bayes algorithm. …”
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