Search Results - (( java implementation phase algorithm ) OR ( factor perceptions _ algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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Predicting Customer Behaviour on Buying Life Insurance using Machine Learning
Published 2026journal::journal article -
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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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Factors affecting student’s academic performance
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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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A univariate marginal approach for pairwise testing of software product lines
Published 2017“…Pairwise Testing is a type of Combinatorial Testing, influenced by the perception that two factors (or features in the context of SPL testing) stimulate most faults. …”
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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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Elicitation of conditional probability table (CPT) for risk analysis of biomass boiler in energy plant
Published 2022“…The formulation for boiler failures likelihood prediction that relies on experts’ perceptions was developed using the Weighted Sum Algorithm (WSA). …”
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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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Does organizational culture matter in the relationship between trust and SMEs performance
Published 2018“…Research limitations/implications – The study used perceptions of owner/managers and only small-scale industries. …”
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Development of energy storage system for storing regenerative braking energy from train
Published 2022“…In certain scenarios, the non-regenerative braking will be considered since the worst-case scenario is in the design parameter.In this study, and the train operating data are collected to ascertain the current perceptions of energy conservation to railway applications. …”
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Prediction of sleep pattern for university students using machine learning
Published 2026“…Data was collected through an online survey of 286 respondents, covering features related to demographics, daily habits, and personal perceptions. The Random Forest algorithm was employed for classification, evaluated using a 5-Fold Cross-Validation protocol, and achieved an average accuracy of 81.46%. …”
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