Search Results - (( _ evaluation method algorithm ) OR ( early identification using algorithmic ))
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Deep learning-based colorectal cancer classification using augmented and normalised gut microbiome data / Mwenge Mulenga
Published 2022“…First, to investigate the methods used to address limitations associated with microbiome-based datasets in colorectal cancer identification using deep neural network algorithms. …”
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Thesis -
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Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation
Published 2018“…Dissolved Gas Analysis (DGA) technique is commonly used to identify oil-filled power transformer fault type but utilisation of artificial intelligence method with optimisation methods has shown convincing results. …”
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CORROSION DAMAGE ANALYSIS USING IMAGE PROCESSING
Published 2018“…The corrosion pattern is to be classified by applying neural network algorithm. A low-cost computational non-destructive evaluation (NDE) technique will be used to analyze the reliability of a system or component without interrupting its performance and operation. …”
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Final Year Project -
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Keylogger detection analysis using machine learning algorithm / Muhammad Faiz Hazim Abdul Rahman
Published 2022“…Plus, to analyse the efficiency of a detection model on keylogger dataset by evaluating a selection of attributes. Besides, to test the accuracy of detection models on keylogger dataset comparing two machine learning algorithms. …”
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Student Project -
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Classification of Learner Retention using Machine Learning Approaches
Published 2021“…The performance of these algorithms was evaluated based on accuracy, precision, recall, and f-measure. …”
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Conference or Workshop Item -
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Automated mold defects classification in paintings: a comparison of machine learning and rule-based techniques.
Published 2025“…The efficacy of these methods was evaluated using the Mold Features Dataset (MFD) and a separate set of test images. …”
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Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor
Published 2024“…Subsequently, predictive models employing k-nearest neighbour and decision tree algorithms are constructed and evaluated based on accuracy, precision, and recall metrics. …”
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Design of intelligent Qira’at identification algorithm
Published 2017“…To evaluate the algorithm, 350 samples for 10 types of Qira’at recitation are in used, and for justifying the best pattern classification, few algorithms are tested in the early preliminary evaluation with K-Nearest Neighbour, GMM and PPCA. …”
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Identifying suicidal ideation through twitter sentiment analysis using Naïve Bayes / Annasuha Atie Atirah Alias
Published 2023“…Thus, this project aims to design, develop, and evaluate web-based application utilizing sentiment analysis, specifically employing the Naïve Bayes algorithm, to identify and analyze suicidal ideation within Twitter posts. …”
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Identification of microcalcification in mammographic images / Noor Azliza Abdul Shauti
Published 2008“…By using this identification, it can simulate in flexible images post processing and analysis in easy image management using Java aplication. …”
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Early Detection Of ADHD Among Children Using Machine Learning
Published 2023“…Early identification using fMRI and machine learning holds great potential for improving the lives of children with ADHD through timely interventions and targeted support.…”
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Undergraduates Project Papers -
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Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues
Published 2024“…•Detailed method to identify the gut mycobiome in colorectal cancer patients using ITS-specific amplicon sequencing. •Application of machine learning algorithms to the identification of potential mycobiome biomarkers for non-invasive colorectal cancer screening. …”
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Machine-learning approach using thermal and synthetic aperture radar data for classification of oil palm trees with basal stem rot disease
Published 2021“…In an imbalanced dataset, one of the two classes contains fewer total samples than the other class. The sampling-based method, also known as the data level method, is used to deal with this problem. …”
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Development of MyCGPA for early predicting students’ academic performance
Published 2025“…One of the primary concerns in higher education is the early identification of underperforming students. …”
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Investigation of An Early Prediction System of Cardiac Arrest Using Machine Learning Techniques
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Undergraduates Project Papers -
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AI-Enabled Deep Learning Model for COVID-19 Identification Leveraging Internet of Things
Published 2023“…A chest X-ray dataset is used to compare the deep ensemble model against six transfer learning algorithms. …”
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