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Intelligent Optimization Systems for MaintenanceScheduling of Power Plant Generators
Published 2024“…The intelligent optimization models are developed using MATLAB and the developed intelligent algorithms are tested on a case study in a coal power plant located at minjung, Perak, Malaysia. …”
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Classification of Mammogram Images Using Radial Basis Function Neural Network
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Book Chapter -
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Intelligent Thermal Condition Monitoring Of Electrical Equipment Using Infrared Thermography
Published 2013“…The multilayered perceptron neural networks are trained using various training algorithms. Additionally, the present research introduces a computer aided defect diagnosis system where the defected region is found by manual thresholding and intensity features are extracted from each segmented region. …”
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Development of Straight Line Robot Movement Using Digital Compas Module
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Diagnosis of breast cancer using case-based reasoning
Published 2012“…The application used the 100 data of Wisconsin Breast Cancer dataset for evaluating the CBR algorithm. This dataset is retrieved from UCI Machine Learning. …”
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Undergraduates Project Papers -
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Improvement anomaly intrusion detection using Fuzzy-ART based on K-means based on SNC Labeling
Published 2011“…Data mining is a well-known artificial intelligence technique to build network intrusion detection systems. …”
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Evolutionary Music; Composing Beats and Chords Progression
Published 2020“…Evoluthm utilizes Harmony Search Algorithm and JFUGUE techniques in compliances with artificial intelligence (AI). …”
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Final Year Project / Dissertation / Thesis -
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Autonomous Fire Fighting Mobile Platform
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Conference or Workshop Item -
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Optimal reactive power dispatch using multistage artificial immune system
Published 2023“…Non-convex, non-linear, and multimodal problems make the development of intelligent algorithms to solve the reactive power dispatch problem highly relevant. …”
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Fakebuster: fake news detection system using logistic regression technique in machine learning
Published 2019“…Fake news can be certainly solved by the aid of artificial intelligence which includes machine learning algorithms. …”
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Evaluation of machine learning in predicting air quality index / Abdullah Sani Abdul Rahman, Aizal Yusrina Idris and Suhaimi Abdul Rahman
Published 2023“…However, there is limited research on the application of intelligent approaches to predict AQI in Malaysia. This research investigates the impact of various AQI components, including Particulate Matter 2.5 (PM2.5), Nitrogen Dioxide (NO2), Carbon Monoxide (CO), and Ozone (O3), using 125 random locations across Malaysia, ranging from the north to the southern regions. …”
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