Search Results - (( student classification modeling algorithm ) OR ( java application optimized algorithm ))
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Predicting breast cancer using ant colony optimisation / Siti Sarah Aqilah Che Ani
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Student Project -
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Conference or Workshop Item -
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Conference or Workshop Item -
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Minimizing Classification Errors in Imbalanced Dataset Using Means of Sampling
Published 2023Conference Paper -
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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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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Backpropagation algorithm for classification problem: academic performance prediction model for UiTM Melaka Mengubah Destini Anak Bangsa (MDAB) program. / Fadhlina Izzah Saman, Nur...
Published 2012“…The final model then will produce an output in the form of prediction for current students' graduation CGPA. …”
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Research Reports -
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Predicting autistic spectrum disorder for toddler using ant colony optimization / Nur Ibtisyam Zafri
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Student Project -
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Imbalanced Classification Methods for Student Grade Prediction: A Systematic Literature Review
Published 2024“…Concerning the significance of this area, various predictive models are widely developed and applied to help the institution identify students at risk of failure. …”
Review -
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Classification models for higher learning scholarship award decisions
Published 2018“…A dataset of successful and unsuccessful applicants was taken and processed as training data and testing data used in the modelling process. Five algorithms were employed to develop a classification model in determining the award of the scholarship, namely J48, SVM, NB, ANN and RT algorithms. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Imbalanced Classification Methods for Student Grade Prediction : A Systematic Literature Review
Published 2023“…Concerning the significance of this area, various predictive models are widely developed and applied to help the institution identify students at risk of failure. …”
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Article -
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Personalized Recommendation Classification Model of Students’ Social Well-being Based on Personality Trait Determinants Using Machine Learning Algorithms
Published 2023“…This article will discuss the development of an adaptive personalized recommendation classification model for students’ social well-being based on personality trait determinants. …”
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Analysis Of Failure In Offline English Alphabet Recognition With Data Mining Approach
Published 2019“…However, these approaches involve complex algorithms and require voluminous dataset as the training model. …”
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Monograph -
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A comparative analysis of four classification algorithms for university students performance detection
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Conference or Workshop Item -
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Classification Algorithms to Determine Students’ Specialization in a Higher Education Institution
Published 2023“…After that, we looked at how Python programming classification algorithms like Support Vector Machine (SVM), Naïve Bayes, Random Forest, and Decision Tree performed in classifying the areas of specialization of the students. …”
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