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A Knowledge Management System for Assessing Lecturer Competence in Indonesian Higher Educational Institutions
Published 2025“…Next, crawling of all applications related to the Tridharma of higher education, namely education, research, and community service, is carried out using web services methods. …”
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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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AttenTriX - student attendance application with geofencing and facial recognition
Published 2022“…The algorithm is used to build a model that can classify each student based on their face image. …”
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Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: a preliminary study
Published 2024“…No definitive model stood out as the best algorithm for predicting student academic success in this study.…”
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Use of web page credibility information in increasing the accuracy of web-based question answering systems / Asad Ali Shah
Published 2017“…The proposed algorithm can also help in designing credibility-based information systems in the areas of education, health, stocks, networking and media, requiring accurate and credible information, and would help enforce new Web-publishing standards, thus enhancing overall Web experience.…”
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Vietnamese character recognition based on cnn model with reduced character classes
Published 2021“…This article will detail the steps to build and train the convolutional neural network (CNN) model for Vietnamese character recognition in educational books. Based on this model, a mobile application for extracting text content from images in Vietnamese textbooks was built using OpenCV and Canny edge detection algorithm. …”
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Prediction of nanostructure of SnO2 properties using artificial neural networks / Khadijah Mohd Suhami ... [et al.]
Published 2021“…This modelling was developed based on trial and error at different network architecture, activation function and training algorithm. …”
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Cognitive knowledge-based model for adaptive feedback: A case in physics / Andrew Thomas Bimba
Published 2019“…It also provides a tool for the provision of adaptive feedback in a computer-based learning environment which is beneficial to students, teachers, and educational instructors. …”
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Validation process for electrical charge tomography system using digital imaging technique
Published 2009“…Numerical analysis result based on data measured by sensor indicates that the algorithm is efficient to overcome the numerical instability. …”
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Deep learning-based recommendation system to address challenges in providing electronic services
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Legal Innovation in Religious Courts: The Potential Utilization of Artificial Intelligence (AI) in Resolving Contemporary Cases.
Published 2024“…Data was collected through literature reviews and document analysis, focusing on AI applications in inheritance calculations based on Islamic faraidh law, virtual dispute mediation, and Sharia contract analysis. …”
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Statistics Easy Tool (SET) / Noor Aisyah Idris and Nurdia Azlin Ghazali
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Analyzing students records to identify patterns of students' performance
Published 2023“…Finally, the results from the application of the CHAID algorithm aimed at predicting students' academic success is presented. � 2013 IEEE.…”
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Educational video recommender system for computer science students using content-based filtering / Walid Burhani Mohd Zamani
Published 2025“…The objective is to study the content-based algorithm, to develop the prototype of educational video recommendation system using content-based filtering algorithm and to evaluate the performance and accuracy of the content-based filtering algorithm. …”
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Comparisons of automated machine learning (AutoML) in predicting whistleblowing of academic dishonesty with demographic and theory of planned behavior
Published 2023“…All the machine learning algorithms from TPOT and AutoModel are considerable powerful to generate good accuracy level (between 70â��93 of AUC) in classifying both cases of whistleblowing and non-whistleblowing on the hold-out samples from the testing process. …”
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A 'snowflake' geometrical representation for optimised degree six 3-modified chordal ring networks
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E4ML: Educational Tool for Machine Learning
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