Search Results - (( using electro method algorithm ) OR ( based constructive learning algorithm ))

Real time ocular and facial muscle artifacts removal from EEG signals using LMS adaptive algorithm by Mehrkanoon, S., Moghavvemi, M., Fariborzi, H.

“…Proposed method uses horizontal EOG (HEOG), vertical EOG (VEOG), and EMG signals as three reference digital filter inputs. …”
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Self-tuning control of an electro-hydraulic actuator system by Ghazali, Rozaimi, Md Sam, Yahaya, Rahmat, Mohd Fua'ad, Jusoff, Kamaruzaman, Zulfatman, Mohd Hashim, Abd Wahab Ishari

“…Due to time-varying effects in electro-hydraulic actuator (EHA) system parameters, a self-tuning control algorithm using pole placement and recursive identification is presented. …”
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Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity by Dehkordi, Sepehr Ghasemi

“…An active method which has received much attention is the use of Active Noise Control (ANC) system which involves an electro acoustic system that cancels unwanted noise using the principle of superposition. …”
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Exploring a Q-learning-based chaotic naked mole rat algorithm for S-box construction and optimization by Kamal Zuhairi, Zamli, Din, Fakhrud, Alhadawi, Hussam S.

“…This paper introduces a new variant of the metaheuristic algorithm based on the naked mole rat (NMR) algorithm, called the Q-learning naked mole rat algorithm (QL-NMR), for substitution box construction and optimization. …”
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The Effects Of Weightage Values With Two Objective Functions In iPSO For Electro-Hydraulic Actuator System by Ghazali, Rozaimi, Ghani, Muhamad Fadli, Chai, Mau Shern, Chong, Shin Horng, Chong, Chee Soon, Md Sam, Yahaya, Has, Zulfatman

“…The PID controller parameters will be tuned by using the iPSO algorithm to get the lowest overshoot percentage and steady-state error. …”
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Classical and metaheuristic optimizations performance in an electro-hydraulic control system by Chong, Chee Soon, Ghazali, Rozaimi, Chong, Shin Horng, Ghani, Muhammad Fadli, Md. Sam, Yahaya, Has, Zulfatman

“…A classical and metaheuristic optimization methods, which are gradient descent (GD) and particle swarm optimization (PSO) algorithm are used to obtaining the optimal gains of both controllers. …”
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An evolutionary based features construction methods for data summarization approach by Rayner Alfred, Suraya Alias, Chin, Kim On

“…Here, feature construction methods are applied in order to improve the descriptive accuracy of the DARA algorithm.This research proposes novel feature construction methods, called Variable Length Feature Construction without Substitution (VLFCWOS) and Variable Length Feature Construction with Substitution(VLFCWS), in order to construct a set of relevant features in learning relational data. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System by Muhammad Nasir, Mohd Nizar, Mohd Nordin, Najaa Aimi, Mohd Faudzi, Ahmad Athif, Muftah, Mohamed Naji, Mhd Yusoff, Mohd Akmal, Shahrol Mohamaddan, Shahrol Mohamaddan

“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System by Muhammad Nasir, Mohd Nizar, Mohd Nordin, Ili Najaa Aimi, Mohd Faudzi, Ahmad Athif, Muftah, Mohamed Naji, Mhd Yusoff, Mohd Akmal, Shahrol Mohamaddan, Shahrol Mohamaddan

“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System by Muhammad Nasir, Mohd Nizar, Mohd Nordin, Najaa Aimi, Mohd Faudzi, Ahmad Athif, Muftah, Mohamed Naji, Mhd Yusoff, Mohd Akmal, Mohamaddan, Shahrol

“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System by Muhammad Nasir, Mohd Nizar, Mohd Nordin, Ili Najaa Aimi, Mohd Faudzi, Ahmad Athif, Muftah, Mohamed Naji, Mhd Yusoff, Mohd Akmal, Mohamaddan, Shahrol

“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System by Muhammad Nasir, Mohd Nizar, Mohd Nordin, Najaa Aimi, Mohd Faudzi, Ahmad Athif, Muftah, Mohamed Naji, Mhd Yusoff, Mohd Akmal, Mohamaddan, Shahrol

“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System by Muhammad Nasir, Mohd Nizar, Mohd Nordin, Najaa Aimi, Mohd Faudzi, Ahmad Athif, Muftah, Mohamed Naji, Mhd Yusoff, Mohd Akmal, Mohamaddan, Shahrol

“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System by Muhammad Nasir, Mohd Nizar, Mohd Nordin, Najaa Aimi, Mohd Faudzi, Ahmad Athif, Muftah, Mohamed Naji, Mhd Yusoff, Mohd Akmal, Mohamaddan, Shahrol

“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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A Chaotic Teaching Learning Based Optimization Algorithm for Optimization Emergency Flood Evacuation Routing by Kamal Z., Zamli

“…Addressing this issue, this paper proposes the adoption and enhancement of the meta-heuristic algorithm, called Teaching Learning based Optimization (TLBO), to optimize the flood evacuation routing. …”
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Hybrid weight deep belief network algorithm for anomaly-based intrusion detection system by Maseer, Ziadoon Kamil

“…The optimized DBN algorithm, known as the HW-DBN algorithm, integrated through feature learning based on a Gaussian–Bernoulli Restricted Boltzmann Machine as well as classification task through a weight neuron network. …”
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Development Of Construction Noise Prediction Method Using Deep Learning Model by Siew, Jun Teng

“…In this study, a deep learning-based noise prediction model was proposed to improve this method. …”
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Normalized SPSA for Hammerstein model identification of twin rotor and electro-mechanical positioning systems by Nik Mohd Zaitul Akmal, Mustapha, Mohd Ashraf, Ahmad

“…The effectiveness of the proposed method was validated by modeling the actual systems, which included the twin-rotor system (TRS) and the electro-mechanical positioning system (EMPS). …”
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Sliding Mode Controller Design With Optimized PID Sliding Surface Using Particle Swarm Algorithm by Chong, Chee Soon, Ghazali, Rozaimi, Jaafar, Hazriq Izzuan, Syed Hussien, Sharifah Yuslinda

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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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