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Predicting Customer Behaviour on Buying Life Insurance using Machine Learning
Published 2026journal::journal article -
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Design of a pattern classification system using extreme learning machine
Published 2024text::Final Year Project -
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Design of a pattern classification system using extreme learning machine
Published 2023text::Final Year Project -
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Sentiment analysis regarding marital issues using Naive Bayes algorithm / Farah Nabila Mohd Razali
Published 2025“…This study explores the application of sentiment analysis using the Naive Bayes algorithm to understand public perceptions of marital issues, particularly factors contributing to the rising divorce rate. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…It involves the process of re-testing software after modifications. Ideally, to perform regression testing is to re-execute all the test cases on the modified software. …”
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Factors affecting student’s academic performance
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Prediction of sleep pattern for university students using machine learning
Published 2026“…These results demonstrate the potential of machine learning in identifying key behavioral and demographic factors influencing sleep patterns, which can be used to support targeted health and academic interventions for students.…”
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A review on the treatments for monocular visual impairment for the development of a visual aid
Published 2023“…Investigations include reviewing the principle required to be embedded into the visual aid such as the distance and depth perception. Stereoscopic cameras and algorithms are also further discussed to interlink with the concepts of depth perception. …”
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Detection of Malaysian sign language with single shot detector algorithm/ Nurfarah Idayu Mohamad Fauzi, Shahirah Mohamed Hatim and Zalikha Zulkifli
Published 2023“…Malaysia faces a lack of interest among its people in learning sign language, which may be attributed to various factors such as limited awareness, resource constraints, or a perception that sign language is not relevant or necessary. …”
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Predictive Analytics for Crude Oil Price Using RNN-LSTM Neural Network
Published 2020“…The market price for commodity such as crude oil is influenced by many factors including news, supply-and-demand gap, labour costs, amount of remaining resources, as well as stakeholders' perception. …”
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Application of artificial neural network in discriminating the agarwood oil quality using significant chemical compounds / Mohd Hezri Fazalul Rahiman … [et al.]
Published 2014“…The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. …”
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Book Section -
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Using Machine Learning to Optimize Green Influencer Marketing Strategies: A Study of Consumer Behavior Trends
Published 2025“…Factor and correlation analyses examined the relationships among perceived authenticity, consumer trust, and purchase behavior. …”
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