Search Results - (( phone application based algorithm ) OR ( its application bayes algorithm ))
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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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Optimization of ANPR algorithm on android mobile phone
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Genetic case-based reasoning for improved mobile phone faults diagnosis
Published 2018“…GCBR is implemented in a mobile phone fault diagnosis application. This domain is a good testing environment because mobile phones are of various types and models. …”
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Text classification using Naive Bayes: An experiment to conference paper
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Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad
Published 2023“…This project implements the Naive Bayes algorithm as the classification algorithm. …”
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The child tracker using location awareness / Muhammad Idham Amdan
Published 2017“…The location retrieve from client or the tracked device will be computed and filtered based on the algorithm to generate addresses from latitude and longitude, the coordinate of mobile phone. …”
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A Proposed False Report Identification Algorithm for a Mobile Application in the IoT Environment
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Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad, Khyrina Airin Fariza Abu Samah and Nuwairah Aimi Ahmad...
Published 2023“…This project implements the Naive Bayes algorithm as the classification algorithm. …”
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Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks
Published 2014“…Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems.Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect to predefined set of classes.In this paper, we conduct a performance evaluation based on the noiseless and noisy EEG-based epileptic seizure data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, and VFI.The reconstructed and noisy EEG data are decomposed with discrete cosine transform into several sub-bands.In addition, some of statistical features are extracted from the wavelet coefficients to represent the whole EEG data inputs into the classifiers.Benchmark on widely used dataset is utilized for automatic epileptic seizure detection including both normal and epileptic EEG datasets.The classification accuracy results confirm that the selected classifiers have greater potentiality to identify the noisy epileptic disorders.…”
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Conference or Workshop Item -
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Development of portable automatic number plate recognition system on android mobile phone
Published 2013“…Thus, the significance efforts are to find suitable and adaptive algorithm for number plate recognition under mobile phone. …”
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Proceeding Paper -
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Sentiment Analysis on Users' Satisfaction for Mobile Banking Apps in Malaysia
Published 2022“…The best accuracy result shows 94.37% by the Decision Tree algorithm, and Naïve Bayes obtained the worst outcome at 66%.…”
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Secure mobile AES encryptor (SMAE)
Published 2016“…Besides that, the application is developed as a web based application to ensure the application can be accessed using both mobile application as well as web browser. …”
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Undergraduates Project Papers -
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Development of portable automatic number plate recognition system on android mobile phone
Published 2013“…Significance efforts are being explored to find suitable and adaptive algorithm for implementation of ANPR on mobile phone. …”
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Healthy Lifestyle Management System
Published 2011“…The intelligent algorithm that used in this application is Rule-Based algorithm. …”
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Final Year Project
