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Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…These algorithms mostly built upon the partitioning k-means clustering algorithm. …”
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System identification using Extended Kalman Filter
Published 2017“…System identification is getting more intensive from researcher to develop an algorithm with work efficiently and more accurate. …”
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Diesel Engine Control And In-Cylinder Peak Pressure Monitoring System Using Raspberry PI
Published 2019“…It is found that the ECU developed is able to execute the closed loop system without failure. …”
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Monograph -
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Signal Noise Removal using Concurrent Algorithm
Published 2008“…This research is in the early phase to solve the problem of how to develop a signal noise removal process using concurrent algorithm. …”
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Peningkatan halaju suapan maksimum penginterpolasi CNC dedenyut rujukan menggunakan pengaturcaraan selari
Published 2011“…To develop interpolator with higher maximum allowable feed rate, the proposed interpolator is aimed to execute the interpolator tasks in concurrent manner. …”
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Improved recurrent NARX neural network model for state of charge estimation of lithium-ion battery using pso algorithm
Published 2023Conference Paper -
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Sales prediction for Adha Station by using predictive analytics
Published 2025“…This research presented a technique for projecting sales utilising current data through a machine learning algorithm. The CRISP-DM approach was employed to execute the project across the phases of business understanding, data preparation, modelling, assessment, and deployment. …”
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Student Project -
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Development of a prototype solar-powered autonomous vehicle prototype with object detection and avoidance system using Raspberry-Pi
Published 2024“…The advancements in science and technology research have given rise to the robust adoption of smart means of transportation, from steam engines to energy-efficient means such as solar, electric, and hybrid-powered vehicles to ease transportation of people, goods, and services with increased human comfortability. …”
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Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting
Published 2021“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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On-line condition monitoring system for high level trip water in steam Boiler's Drum
Published 2023“…The developed relevant variables were selected based on a combination of theory, experience and execution phases of the model. …”
Conference Paper -
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On-line condition monitoring system for high level trip water in steam Boiler's Drum
Published 2014“…The developed relevant variables were selected based on a combination of theory, experience and execution phases of the model. …”
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Conference or Workshop Item -
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M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589)
“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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Monograph -
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Dynamic Economic Dispatch For Power System
Published 2016“…The solution algorithm based on a constraint relaxation and period-by-period is developed and tested. …”
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Mining Sequential Patterns Using I-PrefixSpan
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Unmanned aerial vehicle assisted localization using multi-sensor fusion and ground vehicle approach
Published 2022“…The obtained results in this study show promising improvements of both position and attitude with MS-KF. In comparison, the mean square error (MSE) for position is 0.005 and 0.026 for the developed MS-KF and SS-KF, respectively. …”
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Multi depot dynamic vehicle routing problem with stochastic road capacity for emergency medical supply delivery in humanitarian logistics
Published 2022“…Moreover a stochastic road capacity distribution where its mean deteriorates over time is also depicted in the problem. …”
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Taylor-Bird Swarm Optimization-Based Deep Belief Network For Medical Data Classification
Published 2022“…Then, the selected features are given as input to the DBN classifier which is trained using the Taylor-based bird swarm algorithm (Taylor-BSA). Taylor-BSA is designed by combining the Taylor series and bird swarm algorithm (BSA).…”
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