Search Results - (( developing students normalization algorithm ) OR ( java implication based algorithm ))
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The normalized random map of gradient for generating multifocus image fusion
Published 2020“…Many researchers have developed many new and sophisticated methods. They show complicated computation and algorithm. …”
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Article -
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Design and development of elective courses recommender system (ECORS)
Published 2017“…A rule-based algorithm is chosen to use in this project. It combines normalized scores representing variables such as interest score including a student's personal interests. …”
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Final Year Project Report / IMRAD -
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Predicting bankruptcy using ant colony optimization / Nur Syafiqah Abdul Ghani
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Student Project -
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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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Clustering autism spectrum disorder student’s system based on intelligence, skills and behavior using agglomerative clustering algortihm / Daarin Nadia Nordin
Published 2020“…Thus, this project proposes a solution to the problems by utilizing the machine learning approach which is the Agglomerative clustering algorithm. Previous studies shows that homogenous grouping of autistics students yields positive results, therefore, this project proposes to design and develop a clustering model system known as the CASDSS (Clustering Autism Spectrum Disorder Students System) where the main goal of this system is to create a homogenous grouping of the ASD students based on their behaviour, skills and intelligence. …”
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Thesis -
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Developing a model to predict mathematics performance using neural network / Normaziah Abdul Rahman, Fadzilah Siraj and Noor Aishikin Adam
Published 2006“…This study aims to use neural network to develop a model to predict mathematics performance of Universiti Teknologi MARA Kampus Melaka (UiTMKM) students. …”
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Research Reports -
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Design of a low-power microcontroller-based wireless ECG monitoring system
Published 2007Get full text
Conference or Workshop Item -
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Predicting students’ STEM academic performance in Malaysian secondary schools using educational data mining
Published 2023“…CRISP is a cross-industry standard data mining process which consists of six stages of the normal lifecycle of a CRISP-DM project. Design and development research (DDR) are chosen to be the conducted approach for this analysis. …”
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Thesis -
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The largest studentized residual test for bad data identification in state estimation of a power system
Published 2015“…The chi-square and normalized residual tests are the common post estimation procedures usually used for detection and identification of gross errors in the estimation algorithm. …”
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Agent-based extraction algorithm for computational problem solving
Published 2015“…Several statistical tests such as normality test and reliability analysis were conducted. …”
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Thesis -
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Academic Achievement Prediction Model Using Neural Networks
Published 2002“…This model allows the system administrator to train and normalize data as well as trains. Once the model has been established by the administrator, the future student achievement can be forecast by the model. …”
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Thesis -
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Classification of Mental Health Level of Students Using SMOTE and Soft Voting Ensemble Classifier and the DASS-21 Profile
“…These findings support the use of ensemble learning and SMOTE for developing effective college student mental health screening systems, ultimately enabling timely intervention and support…”
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MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA
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Working Paper -
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AI chatbot system for educational institutions
Published 2023“…This project presents the design and development of an advanced chatbot system powered by deep learning algorithms for intent classification. …”
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Final Year Project / Dissertation / Thesis -
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Sleep as a predictor of depression level using Naïve Bayes / Nur Syakinah Md Roduan
Published 2017“…All 31 models are to predict the students' depression level, which include normal, mild, borderline, moderate, and severe depression gave an average of 51.075% accuracy for 120 training data and average of 37.527% accuracy for the 30 new data collected through questionnaires to the subject. …”
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Thesis -
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Graphing calculator exposure of mathematics learning in a partially technology incorporated environment
Published 2017“…Data was collected from students’ worksheets and also questionnaire that measures attitudes towards technology in mathematics from a class of 763 pre-university students. …”
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Automated road marking detection system for autonomous car
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Conference or Workshop Item
