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1
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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VHDL modeling of EMG signal classification using artificial neural network
Published 2012“…A back-propagation neural network with Levenberg-Marquardt training algorithm has been used for the classification of EMG signals. …”
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A step towards the development of VHDL model for ANN based EMG signal classifier
Published 2012“…The development process and simulation output are presented in details with the architectural design of the neural network. …”
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4
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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5
Preliminary study on fault detection using artificial neural network for water-cooled reactors
Published 2020“…This work was carried out to discover the use of an artificial neural network (ANN) to model and develop a fault detection programme in the RTP cooling system. …”
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6
Classification of water quality using artificial neural network
Published 2020“…Therefore, this research aims to use the artificial neural network (ANN) algorithm to classify water quality at Pontian Kechil, Batu Pahat and Muar river. …”
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7
VHDL Modelling of FECG Extraction from the Composite Abdominal ECG using Artificial Intelligence
Published 2009“…The purpose of this paper is to model the developed algorithms on FECG signal extraction using VHDL (very high speed integrated circuit hardware description language) for FPGA (field programmable gate array) implementation from the abdominal ECG signal using neural network approach is to provide efficient and effective ways of separating FECG signal and its nature. …”
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8
Face recognition employees attendance system
Published 2022“…That's the result of our match. Overall, we developed a Python programme that takes an image from a database and does all of the necessary changes for recognition, as well as checks the image in videos or in real time by accessing the camera using a Stoner-friendly interface. …”
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9
Vector evaluated particle swarm optimization approach to solve assembly sequence planning problem
Published 2022“…Some heuristic methods may use Neural Network (NN), which need system training before start searching. …”
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