Search Results - (( features expansion function algorithm ) OR ( java application optimisation algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…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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Modern fuzzy min max neural networks for pattern classification by Al Sayaydeh, Osama Nayel Ahmad

“…The MDFMM introduces a number of contributions in addition to modify the original FMM expansion activation function by replace it with that from the Enhanced Fuzzy Min Max (EFMM) to eliminate the overlapping cases. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…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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An Education-Based System for Two-Way Translations of Sign Language by Muhammad Faiz Aiman, Che Umar, Hock Tze, Wong@ Farrah Wong, Sariah, Abang, Jamal, Ahmad Dargham, Seng Kheau, Chung, Mazlina, Mamat

“…To enhance the system's functionality, future work could focus on continuous signing, dataset expansion, and adaptive learning. …”
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SPY-BOT: Machine learning-enabled post filtering for social network-integrated industrial internet of things by Rahman, Md. Arafatur, Zaman, Nafees, Asyhari, A. Taufiq, Sadat, M. S. Nazmus, Pillai, Prashant, Ruzaini, Abdullah Arshah

“…The scheme creates class labels based on the featured keywords from the decision user and classifies suspicious contacts through the aid of ML. …”
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SPY-BOT: Machine learning-enabled post filtering for social network-integrated industrial internet of things by Rahman, Md. Arafatur, Zaman, Nafees, Asyhari, A. Taufiq, Nazmus Sadat, S. M., Pillai, Prashant, Ruzaini, Abdullah Arshah

“…The scheme creates class labels based on the featured keywords from the decision user and classifies suspicious contacts through the aid of ML. …”
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