Search Results - (( developing students means algorithm ) OR ( java adaptation optimization algorithm ))
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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The application of suitable sports games for junior high school students based on deep learning and artificial intelligence
Published 2025“…This study intends to develop a Spatial Temporal-Graph Convolutional Network (ST-GCN) action detection algorithm based on the MediaPipe framework. …”
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Article -
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System identification using Extended Kalman Filter
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Student Project -
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Computer control of batch process plant (software development)
Published 1995“…This thesis reports on the development of the control tools by means of programming using the Turbo Pascal 6.0 and MATLAB Student Edition software. …”
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Student Project -
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Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…We then develop a new algorithm to address the summarizing strategies identification problem. …”
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Thesis -
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K-means Clustering Analysis for EEG Features of Situational Interest Detection in Classroom Learning
Published 2021“…This paper proposes a method to detect situational interest in classroom learning using k-means algorithms. The developed algorithm in this paper had been tested on features from ten students who experienced mathematics learning in a classroom. …”
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Conference or Workshop Item -
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Thesis -
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A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS
Published 2023“…All of these algorithms will be cross validate using Mean Absolute Error (MAE) in order to compare all of the accuracies of the algorithms.…”
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Final Year Project Report / IMRAD -
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The impact of virtual reality on programming algorithm courses on student learning outcomes
Published 2024“…The low learning outcomes of students and the limitations of learning media provide opportunities to develop innovations that can increase student engagement. …”
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Sales prediction for Adha Station by using predictive analytics
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Student Project -
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Computational Thinking Through Unplugged Programming Activities : Exploring Students’ Learning Experiences
Published 2019“…The result shows that there is no significant effect of the learning material in increasing the participants’ algorithm skill. However, the mean for post-test score is slightly higher than the mean for pre-test score. …”
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Evaluation of postgraduate academic performance using artificial intelligence models
Published 2022“…With these demands come the need for those institutions to develop strategies that can enhance students' learning experiences at various educational levels. …”
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Article -
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Evaluation of postgraduate academic performance using artificial intelligence models
Published 2022“…With these demands come the need for those institutions to develop strategies that can enhance students' learning experiences at various educational levels. …”
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Article -
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Evaluation of postgraduate academic performance using artificial intelligence models
Published 2022“…With these demands come the need for those institutions to develop strategies that can enhance students' learning experiences at various educational levels. …”
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Article -
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Course grade calculation using fuzzy logic (CGCFL)
Published 2011“…Grade Calculation using Fuzzy Logic System is a system that developed to calculate the final grade of Data Structure and Algorithms student's more accurate and valuable result. …”
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Undergraduates Project Papers -
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Student Luggage Storage System (SLSS) / Sofea Aida Sallehan
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Thesis -
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Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case
Published 2024“…The results, as shown in Table III, indicate that the Random Forest Regression model outperforms the Decision Tree model, achieving lower Mean Squared Error (9.6212), Root Mean Squared Error (3.0842), and Mean Absolute Error (2.4060). …”
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Book Chapter -
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An application of predicting student performance using kernel k-means and smooth support vector machine
Published 2012“…In this study, psychometric factors used as predictor variables, thereare Interest, Study Behavior, Engaged Time, Believe, and Family Support.The rulemodel developed using Kernel K-means Clustering and Smooth Support Vector MachineClassification.Both of these techniquesbased on kernel methodsand relativelynew algorithms of data mining techniques, recently received increasingly popularity in machine learning community. …”
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Thesis
