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A method for group formation using genetic algorithm
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…This merit is provided by balancing the exploitation of solution structure and exploration of its appropriate weighting factors through use of a robust and efficient optimization algorithm in learning process of GEP approach. To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
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Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging
Published 2022“…Results: Image segmentation using the DP-AC algorithm enhanced the visibility of the image features in the region of interest while suppressing the image’s background noise. …”
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Implementation of real-time simple edge detection on FPGA
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DC-based PV-powered home energy system
Published 2017“…The disposal of the DC-AC inverter opens the horizon toward high efficiency Solar-Battery-Load system not only in the residential applications but also in general.…”
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Sejauh manakah model Stufflebeam (KIPP) boleh membantu dalam penilaian program pembelajaran?
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The assessment and improvement of angle stability condition of the power system using particle swarm optimization (PSO) technique / Nor Azwan Mohamed Kamari
Published 2016“…In order to accelerate the determination of angle stability, particle swarm optimization (PSO) is proposed to be implemented in this study. The application of the proposed algorithm has been justified as the most accurate with lower computation time as compared to other optimization techniques such as evolutionary programming (EP) and artificial immune system (AIS). …”
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HELM based Reinforcement Learning for Goal Localization
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Proceeding Paper -
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ANN-based mango external quality grading system
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The assessment and improvement of angle stability condition of the power system using particle swarm optimization (PSO) technique / Nor Azwan Mohamed Kamari
Published 2017“…In order to accelerate the determination of angle stability, particle swarm optimization (PSO) is proposed to be implemented in this study. The application of the proposed algorithm has been justified as the most accurate with lower computation time as compared to other optimization techniques such as evolutionary programming (EP) and artificial immune system (AIS). …”
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Computational intelligence based power system security assessment and improvement under multi-contingencies conditions / Nor Rul Hasma Abdullah
Published 2012“…The SVSJ was consequently used as the line outage severity indicator in the implementation of contingency analysis and ranking. The application of SVSI was extended for the evaluation of the constrained power planning (CPP) and Flexible AC Transmission Systems (FACTS) devices installation using Evolutionary Programming (EP) by considering multi-contingencies occurrence in the system. …”
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Study on the microbial growth inhibition by using pineapple leaves juice
Published 2022“…The SVSJ was consequently used as the line outage severity indicator in the implementation of contingency analysis and ranking. The application of SVSI was extended for the evaluation of the constrained power planning (CPP) and Flexible AC Transmission Systems (FACTS) devices installation using Evolutionary Programming (EP) by considering multi-contingencies occurrence in the system. …”
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Implementation Of SVM For Cascaded H-Bridge Multilevel Inverters Utilizing FPGA
Published 2019“…In recent years the Space Vector Modulation (SVM) technique has gained wide acceptance for many AC drive applications. Further improvements of AC drives can be accomplished by applying SVM in multilevel inverters, since the more suitable voltage vectors can be chosen among larger number of voltage vectors available in the multileve inverter. …”
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