Search Results - (( mobile applications means algorithm ) OR ( _ application learning algorithm ))*
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A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation
Published 2023Conference Paper -
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Mobile application for sign language learning with real time feedback
Published 2024“…This project proposes developing an innovative mobile application for interactive sign language learning to benefit both Deaf individuals and hearing loss individuals globally. …”
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Final Year Project / Dissertation / Thesis -
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Mobility-aware Offloading Decision For Multi-access Edge Computing In 5g Networks
Published 2024journal::journal article -
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The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…The utilization of deep learning, particularly Transfer Learning (TL), have been demonstrated in the literature to b e able to provide seamless extraction of such signals in a myria d of various applications. …”
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A framework of modified adaptive neuro-fuzzy inference engine
Published 2012“…The performance of MANFIE was compared with existing methods in a diversity of practical benchmark applications such as pattern classifications, time series predictions, modeling with inverse learning control and mobile robot navigation. …”
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A real-time mobile notification system for inventory stock out detection using SIFT and RANSAC
Published 2020“…The proposed method is a machine learning based real-time notification system using the exciting Scale Invariant Feature Transform feature detector (SIFT) and Random Sample Consensus (RANSAC) algorithms. …”
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The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier
Published 2021“…It was shown through this study, that the features extracted by means of NasNetLarge were more efficient compared with NasNetMobile. …”
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Mobile tour guide application with attraction recognition for UTAR Kampar campus
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Final Year Project / Dissertation / Thesis -
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…Most of the existing algorithms consider the noise filtering step precedes trajectory segmentation step which mean that there is no preprocessing method to partition trajectory into set of segments and remove noise points in real time with low computational cost. …”
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A Mobile Application For Stock Price Prediction
Published 2021“…In conclusion, this project’s objectives were achieved by developing the mobile application for stock price prediction using the best time series algorithm evaluated, which is ARIMA.…”
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Final Year Project / Dissertation / Thesis -
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An Education-Based System for Two-Way Translations of Sign Language
Published 2025“…The model's performance is assessed, achieving 97.3% accuracy within 12 trials through Android mobile applications. The model exhibits occasional misclassifications, primarily for certain hand orientations, such as 'I', 'N', 'E', and 'S'. …”
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State of charge estimation for electric vehicles using random forest
Published 2024“…Previous methods, including the Extreme Learning Machine (ELM), have exhibited limitations in providing the accuracy and robustness required for practical EV applications. …”
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Machine learning approach for tenaga nasional berhad (tnb) overhead powerline and electricity pole inventory using mobile laser scanning data
Published 2023“…Decision trees; Laser applications; Learning algorithms; Machine learning; Mean square error; Scanning; Classifieds; Electricity assets; Electricity pole; Laser scanner data; Laserscanners; Machine-learning; Mobile laser scanner; Overhead powerline; Point-clouds; Power lines; Poles…”
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Marketplace product recommendation using collaborative filter / Muhammad Alif Fauzan Ismail
Published 2021“…In conclusion this paper is to develop a product recommender in marketplace mobile application using Collaborative Filter and the accuracy of the algorithm is measured using Mean Absolute Error…”
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Place recognition using semantic concepts of visual words
Published 2011“…Specifically, the k-mean algorithm is firstly applied to quantize the low-level visual features as bag-of-visual-words (BOVW). …”
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