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Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

Study of nature inspired computing (NIC) technique for optimal reactive power dispatch problems by Sulaiman, Mohd Herwan

“…ORPD problem is a nonlinear optimization problem that involving both equality constraints and inequality constraints. The proposed algorithms are tested on five different case studies which are IEEE 30-bus system with 13 control variables, IEEE 30-bus system with 19 control variables, IEEE 30-bus system with 25 control variables, IEEE 57-bus system with 25 control variables and IEEE 118-bus system with 77 control variables. …”
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Smoothed functional algorithm with norm-limited update vector for identification of continuous-time fractional-order Hammerstein Models by Mok, Ren Hao, Mohd Ashraf, Ahmad

“…In particular, the standard smoothed functional algorithm (SFA) based method is modified by implementing a limit function in the update vector of the standard SFA based method to solve the issue of high tendency of divergence during the identification process. …”
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A PI based coordinated maximum power point tracking controller for grid connected photovoltaic system / Md Haidar Islam by Md Haidar, Islam

“…The proposed algorithm enhances the steady-state and dynamic responses by introducing an improved adaptive step-size for updating variables. …”
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Monitoring and Control of Pressure in a Gas Plant via PID plus Feedforward Controller by Sulaiman, Ezyan Hanis

“…The controller is observed to see how well a variable can be manipulated and controlled in real-time implementation. …”
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Application of Moth-Flame Optimizer and Ant Lion Optimizer to Solve Optimal Reactive Power Dispatch Problems by Rebecca Ng, Shin Mei, M. H., Sulaiman, Hamdan, Daniyal, Zuriani, Mustaffa

“…These two algorithms are implemented in ORPD to determine the optimal value of generator buses voltage, transformers tap setting and reactive compensators sizing in order to minimize power loss in the transmission system. …”
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Effect of input variables selection on energy demand prediction based on intelligent hybrid neural networks by Islam, B., Baharudin, Z., Nallagownden, P.

“…The results show that hybrid forecast model provide better performance when it is trained and tested with optimally selected input variable vector (IV), containing historical load and meteorological variables. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Classification Of Cervical Cancer Stage From Pap Smear Tests by Sendal, Ken Irok

“…During image preprocessing, the image will be converted to greyscale before improving their contrast level for better analysis. …”
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Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models by Hilal, Yousif Yakoub

“…There was not enough information available on the implementation of neural networks and genetic algorithm for the prediction and selecting input variables in oil palm yield and output energy. …”
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A single measurement of combined Direct and indirect MPPT algorithm for mismatch PV module application / Mohd Najib Mohd Hussain by Mohd Hussain, Mohd Najib

“…A novel of combination direct and indirect (CoDId) MPPT algorithm is implemented for solving mismatch losses from existing PV system by employing the implementation of system identification approach. …”
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Optimized fuzzy logic sliding mode control with proportional-integral-derivative for an electrohydraulic actuator system by Ghani, Muhamad Fadli

“…The proposed control strategy was designed with the switching function modification based on an FL approach in the conventional SMC algorithm called FLSMC. A particle swarm optimization (PSO) algorithm was implemented as the FLSMC design involves a complicated procedure and mathematical formulations to obtain the optimal value of the designed control variables. …”
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Modelling and simulation of drying process for ceramic membrane fabrication by Ong, Tze Ching

“…This two-dimensional mathematical modelling approach is able to predict the changes of variables in heat and mass transfer during the drying process. …”
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Cost reduction in bottom-up hierarchical-based VLSI floorplanning designs by Hoo, C.S., Kanesan, J., Ramiah, H.

“…Besides, CABF shows its potential to be implemented in VLSI physical design as the runtime of CABF is faster with a near-optimal outcome as compared to the other existing algorithms. …”
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Adaptive hybrid fuzzy-proportional plus crisp-integral current control algorithm for shunt active power filter operation by Abdul Rahman, Nor Farahaida, Mohd Radzi, Mohd Amran, Che Soh, Azura, Mariun, Norman, Abd Rahim, Nasrudin

“…Furthermore, the implementation of the proposed CCA has resulted more stable dc-link voltage waveform.…”
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Haar cascade algorithm for microsleep detection by Awang, Norkhushaini, Azhar, Ahmad Mirza

“…Based on these results, future research should focus on enhancing the core algorithm to be more resilient to variable lighting and distance, thereby reducing false positives and negatives. …”
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Performance study of low-speed wind energy harvesting by micro wind turbine system by Kadhim, M. A., Phing, C. C., Wai, L. C., Paw, Johnny Koh Siaw, Yaw, Chong Tak, K., Kadirgama, Kadhim, A. A.

“…To address these obstacles, the current research endeavor is dedicated to the augmentation of energy extraction from low-velocity wind environments through the implementation of micro-scale wind turbine systems. By utilizing maximum power point tracking (MPPT) algorithms, this study investigates the operational strategies of wind turbines subjected to variable wind conditions, with a particular focus on optimizing energy capture during low to moderate wind speeds. …”
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Error concealment technique using wavelet neural network for wireless transmitted digital images by Al-Azzawi, Alaa Khamees

“…In the case, where the missing regions of pixels are containing textures, edges, and other image features that are not easily handled by concealment algorithms. It therefore, necessitated to use denoising rather than EC algorithms. …”
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Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment by Kalaf, Kalaf, Bayda Atiya

“…The proposed strategy is dependent on modified Zimmermanns approach for handling all inexact operating costs, data capacities, and demand variables. The SD algorithm is employed to balance exploitation and exploration in MSA, thereby resulting in efficient and effective (speed and quality) solution for the APP model. …”
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Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy by Hossain, Ishtiaq, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

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