Search Results - (( its application bayes algorithm ) OR ( phone application using algorithmic ))*
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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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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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Optimization of ANPR algorithm on android mobile phone
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A Proposed False Report Identification Algorithm for a Mobile Application in the IoT Environment
Published 2024Proceedings Paper -
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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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The child tracker using location awareness / Muhammad Idham Amdan
Published 2017“…In this paper, the aim of proposed conceptual smartphone tracker framework is to provide mobile phone security and to locate ability of device in form of mobile application.…”
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Development of mobile robot controlled by android phone via Bluetooth
Published 2015“…The robot is controlled wirelessly using the Bluetooth feature which is present in all android smart phones. …”
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Development of mobile robot controlled by android phone via Bluetooth: article
Published 2015“…The robot is controlled wirelessly using the Bluetooth feature which is present in all android smart phones. …”
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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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Development of portable automatic number plate recognition system on android mobile phone
Published 2013“…Both character segmentation and OCR are using Tesseract library from Google Inc. The proposed portable ANPR algorithm was implemented and simulated using Android SDK on a computer. …”
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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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Development of portable automatic number plate recognition system on android mobile phone
Published 2013“…Both character segmentation and OCR were using Tesseract library from Google Inc. The proposed portable ANPR algorithm was implemented and simulated using Android SDK on a computer. …”
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Development of a wearable human fall detection system
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SANAsms: Secure short messaging system for secure GSM mobile communication
Published 2008“…J2ME phone and Symbian Operating System (OS) as the platform for the application to run. …”
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