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Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter
Published 2022“…This paper proposes a time-variant online auto-tuned PI controller using a particle swarm optimization (PSO) algorithm for the 200 kW DAB system. …”
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Conference or Workshop Item -
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Nonlinear auto-regressive model structure selection using binary particle swarm optimization algorithm / Ahmad Ihsan Mohd Yassin
Published 2014“…The identification process of NARX/NARMA/NARMAX involves structure selection and parameter estimation, which can be simultaneously performed using the widely accepted Orthogonal Least Squares (OLS) algorithm. …”
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Thesis -
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Time-Variant online Auto-Tuned PI controller using PSO algorithm for high accuracy dual active bridge DC-DC converter
Published 2022“…This paper proposes a time-variant online auto-tuned PI controller using a particle swarm optimization (PSO) algorithm for the 200 kW DAB system. …”
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The Effect Of Linkages In The Hierarchical Clustering Of Auto-Regressive Algorithm For Defect Identification In Heat Exchanger Tubes
Published 2019“…The AR algorithm characterizes the shape of the stress wave signals by AR coefficients and clustered using ‘centroid’ linkages. …”
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Comparisons of automated machine learning (AutoML) in predicting whistleblowing of academic dishonesty with demographic and theory of planned behavior
Published 2023“…The findings of this study will be a great interest of many research scholars to conduct a more in-depth analysis on AutoML for many domains mainly in education and academic misconduct fields. â�¢ AutoML is the first of its kind to be empirically compared between TPOT and AutoModel in an application to predict academic dishonesty whistleblowing. â�¢ Besides accuracy performances of the AutoML, the proportion of the variance of each attribute from demographic and Theory of Planned Behavior (TPB) is also presented in the prediction models of academic dishonesty whistleblowing. â�¢ AutoML is a convenient and reproducible rapid modeling method of machine learning to be used in many kinds of prediction problem. …”
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Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli
Published 2018“…Moreover, the algorithm used for rule-based expert system is forward chaining method. …”
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Student Project -
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A Mobile Application For Stock Price Prediction
Published 2021“…These prediction algorithms were evaluated using 6 sectors of Bursa Malaysia stocks which are in total 216 stocks. …”
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Final Year Project / Dissertation / Thesis -
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Yaw rate and sideslip control using h-infinity-pid controller during automated lane change manoeuver
Published 2021“…The performance between the MATLAB auto-tuned PID, and the proposed PID tuning method was compared. …”
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Object detection utilizing modified auto encoder and convolutional neural networks
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Conference or Workshop Item -
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Clustering Spatial Data Using a Kernel-Based Algorithm
Published 2005“…Therefore, this work comes up with new clustering algorithm using kernel-based methods for effective and efficient data analysis by exploring structures in the data.…”
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Comparative study between ARX and ARMAX system identification
Published 2017“…System identification is divided into different algorithms. In this research, two important types algorithm are compared to identifying the highly nonlinear systems, namely: Auto-Regressive with eXternal model input(ARX) and Auto Regressive moving Average with eXternal model input (Armax) Theory. …”
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Deterministic Mutation-Based Algorithm for Model Structure Selection in Discrete-Time System Identification
Published 2011“…A deterministic mutation-based algorithm is introduced to overcome this problem. Identification studies using NARX (Nonlinear AutoRegressive with eXogenous input) models employing simulated systems and real plant data are used to demonstrate that the algorithm is able to detect significant variables and terms faster and to select a simpler model structure than other well-known EC methods.…”
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Application of the Hybrid Artificial Neural Network Coupled with Rolling Mechanism and Grey Model Algorithms for Streamflow Forecasting Over Multiple Time Horizons
Published 2018“…The optimization of the input datasets selection was performed using auto-correlation (ACF) and partial auto-correlation (PACF) functions. …”
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An intelligent system based on kernel methods for crop yield prediction
Published 2006“…The algorithm can effectively handle noise, outliers and auto-correlation in the spatial data, for effective and efficient data analysis, and thus can be used for predicting oil-palm yield by analyzing various factors affecting the yield. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System
Published 2023“…As the controller for the FBBA position system, PID with the Genetic Algorithm (GA) tuning method and auto-tuned tuning method is proposed. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System
Published 2023“…As the controller for the FBBA position system, PID with the Genetic Algorithm (GA) tuning method and auto-tuned tuning method is proposed. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System
Published 2023“…As the controller for the FBBA position system, PID with the Genetic Algorithm (GA) tuning method and auto-tuned tuning method is proposed. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System
Published 2023“…As the controller for the FBBA position system, PID with the Genetic Algorithm (GA) tuning method and auto-tuned tuning method is proposed. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System
Published 2023“…As the controller for the FBBA position system, PID with the Genetic Algorithm (GA) tuning method and auto-tuned tuning method is proposed. …”
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