Search Results - (( intelligence _ closed algorithm ) OR ( intelligence based data algorithm ))
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Design of artificial intelligence based speed estimator for DC drives / Pauziah Saleh
Published 2006“…The data from the closed loop DC motor with PID controller is used. …”
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Discovering decision algorithm of distance protective relay based on rough set theory and rule quality measure
Published 2011“…The discovered decision algorithm and association rule from the Rough-Set based data mining had been compared with and successfully validated by those discovered using the benchmarking Decision-Tree based data mining strategy. …”
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Modified HOS based Eigenvector algorithm for improvement of poor SNR of Seismic data
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Performance analysis of constrained device virtualization algorithm
Published 2020“…Internet of Things aims to automate and add intelligence into existing processes by introducing constrained devices such as sensors and actuators. …”
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Comparative performance of machine learning algorithms for cryptocurrency forecasting
Published 2018“…Machine Learning is part of Artificial Intelligence that has the ability to make future forecastings based on the previous experience. …”
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Optimizing OLAP heterogeneous computing based on Rabin-Karp algorithm
Published 2013“…OLAP has been considered as a powerful method for analysing excessive size of data that works closely to intelligent business, medical fields. …”
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Proceeding Paper -
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Forecasting Malaysian exchange rate artificial neural network : 2010-2018 / Ikhwan Muzammil Amran
Published 2018“…The training algorithm that applied is Quasi-Netwon based on the lowest recorded absolute training error. …”
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Student Project -
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Forecasting Malaysian exchange rate using artificial neural network / Ikhwan Muzammil Amran and Anas Fathul Ariffin
Published 2020“…The training algorithm that applied is Quasi Netwon based on the lowest recorded absolute training error. …”
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Knowledge discovery in distance relay event report: a comparative data-mining strategy of rough set theory with decision tree
Published 2010“…Manually analyzing an event report is also cumbersome due to the tremendous amount of data to be perused. This paper addresses these issues by intelligently divulging the knowledge hidden in the relay recorded event report using a data-mining strategy based on rough set theory and a rule-quality measure under supervised learning to discover the relay decision algorithm and association rule. …”
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An enhanced motion planning method for industrial robots based on the digital twin concept
Published 2025“…Compared to traditional virtual simulation techniques, the DT approach employed in this study, featuring real-time data interaction, multi-physics accurate modeling, and closed-loop feedback mechanisms, not only substantially improves motion planning accuracy and execution efficiency but also provides an innovative solution for developing highly adaptable, efficient, and reliable intelligent manufacturing robotic systems. …”
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Trends on technologies and artificial intelligence in education for personalized learning: systematic literature review
Published 2022“…The continuous development of new technology and rapid advancement of Artificial Intelligence (AI) contribute to the improvement and enrichment of the teaching and learning process. …”
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Energy Management System For Three-Wheel Light Electric Vehicle Using Multi-Sources Energy Models
Published 2016“…Therefore, the system equipped with an intelligent control algorithm has promising potential in vehicle energy management applications for the future.…”
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Rehabilitation and home health monitoring Based-AI scheduling application for coronary artery disease and cardiovascular patients
Published 2024“…It will enable the interaction between the smart wearable by using the health kit and artificial intelligence algorithms to schedule the best fit rehabilitation activity based on the patient’s health status and live monitoring by medical practitioners.…”
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Time series data intelligent clustering algorithm for landslide displacement prediction
Published 2018“…To address this problem, an intelligent clustering algorithm for time series data in landslide displacement prediction based on nonlinear dynamic time bending is proposed in this paper. …”
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