Search Results - (( mobile evaluation _ algorithm ) OR ( based classifications using algorithm ))*
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A new mobile malware classification for SMS exploitation
Published 2024“…This research has developed a new mobile malware classification for Android smartphone using a covering algorithm. …”
Conference Paper -
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Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak
Published 2019“…The fourth stage is to design evaluation methodology of Max-Min Rule-Based Classification Algorithm using classifier model. …”
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Maldroid- attribute selection analysis for malware classification
Published 2019“…The experiment evaluated 8000 real data samples and the result showed that InfoGainEval and KNN algorithm are the most selected in attribute selection and classification process.…”
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A new mobile malware classification for call log exploitation
Published 2024journal::journal article -
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“myHerbs”: A mobile based application for herbal leaf recognition using sift / Nur Nabilah Abu Mangshor …[et al.]
Published 2020“…In addition, it also contributes to the exploration and implementation of learning algorithm in mobile-based application.…”
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The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…The implementation of pre-processing algorithms has been demonstrated to be able to mitigate the signal noises that arises from the winking signals without the need for the use signal filtering algorithms. …”
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Convolutional neural network based mobile application for poisonous mushroom detection
Published 2025“…To address these issues, this study aims to develop a mushroom detection prototype specifically for identifying poisonous mushrooms using a mobile application. The application leverages a Convolutional Neural Network (CNN) algorithm to accurately classify mushrooms based on user-submitted images. …”
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Mental stress classification based on selected EEG channels using Correlation Coefficient of Hjorth Parameters
Published 2023“…Therefore, it is crucial to develop EEG channel selection algorithms that enable the creation of a wearable device capable of assessing mental stress in real-life scenarios. …”
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Image classification of Aedes mosquitoes using transfer learning / Zetty Ilham Abdullah
Published 2021“…The architecture is also evaluated based on the performance produced by experiments conducted using different combination of hyperparameters. …”
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Hybrid intelligent approach for network intrusion detection
Published 2015“…Clustering is the last step of processing before classification has been performed, using k-means algorithm. …”
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Classification for Quran authentication using characters and diacritics hashed values
Published 2024journal::journal article -
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The use of artificial neural network in the classification of EMG signals
Published 2012“…The time and timefrequency based extracted feature sets are used to train the neural network. …”
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Proceeding Paper -
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Human activity and posture classification using smartphone sensors and Matlab mobile
Published 2022“…Activity recognition has been used in various ways as technology has advanced, particularly using a smartphone-based approach. …”
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Proceeding Paper -
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ios Mobile Malware Deep Analysis And Classification For Social Media And Online Banking Exploitation
Published 2024thesis::master thesis -
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A wheelchair sitting posture detection system using pressure sensors
Published 2024“…All the classification algorithms were evaluated by using the k-fold cross validation method. …”
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Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring
Published 2013“…A reconstructed algorithm derived from DCT of daubechie’s wavelet 6 is used to decompose the EEG signal at different levels. …”
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Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control
Published 2020“…At the same time, a device that cost less than USD200 has 400Hz of sampling rate is as good as closed source device that is come with expensive price tag to own it. Based on algorithm evaluation, it shows that one control method couldn’t fit to all persons as per proven in method selection experiment. …”
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Reverse migration prediction model based on machine learning / Azreen Anuar
Published 2024“…In addition, the results from the three (3) algorithms that were tested showed that Random Forest outperforms other algorithms by acquiring an accuracy and classification error to predict reverse migration. …”
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