Search Results - (( _ extraction via algorithm ) OR ( based simulation based algorithm ))*
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Estimation Of Weibull Parameters Using Simulated Annealing As Applied In Financial Data
Published 2023“…The MIRR were computed based on the data extracted from the companies’ financial reports from 2010 to 2018. …”
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Thesis -
2
Logic Mining Approach: Shoppers’ Purchasing Data Extraction via Evolutionary Algorithm
Published 2023“…The performance of the genetic algorithm with 2-satisfiability-based reverse analysis was measured according to the selected performance evaluation metrics. …”
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3
Towards Enhancing the Performance of Grid-Tied VSWT via Adopting Sine Cosine Algorithm-Based Optimal Control Scheme
Published 2021“…The effectiveness of the proposed SCA-PI is verified in the MATLAB/Simulink environment, and the results are compared to those obtained using a grey wolf optimizer and particle swarm algorithm-based optimal PI controller. The simulation findings confirm the SCA-PI can be regarded as an efficacious way to enhance the performance of the VSWT. …”
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A prototype for context identification of scientific papers via agent-based text mining
Published 2023Conference Paper -
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
Published 2022“…The first proposed algorithm aims to optimize the EE by controlling the on/off status of RRH via a deep Q network (DQN) and subsequently solving a power optimization problem. …”
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Final Year Project / Dissertation / Thesis -
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Novel initialization strategy: Optimizing conventional algorithms for global maximum power point tracking
Published 2024“…In addition, the step size of the applied conventional algorithm is minimized based on its proximity to the actual GMPP. …”
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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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9
Optimized energy extraction in tidal current technology using evolutionary algorithm
Published 2021“…Maximum Power Point Tracking algorithm which is based on Perturb and Observe (P&O) is used to locate the maximum power coefficient of the system. …”
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Proceedings -
10
The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…It was demonstrated from the simulation investigation that the CWT model could yield a better signal transformation amongst the preprocessing algorithms. …”
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Thesis -
11
Bacteria identification via Artificial Neural Network based-on Bergey’s manual
Published 2017“…Levenberg Marquardt algorithm based Feed-forward backpropagation with Multilayer perceptron type of ANN was used in the training and learning sessions of the ANN development in order to obtain high accuracy simulation results within short period of time.…”
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Student Project -
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Natural gas liquid (NGL) distillation process using driving force and thermal pinch analysis methods: Energy and economic assessment / Munawar Zaman Shahruddin ... [et al.]
Published 2020“…Then, the extracted data from the simulation will be used for thermal pinch analysis via problem table algorithm (PTA). …”
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Article -
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Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function
Published 2019“…This study aims to explore the potential of implementing multi-agent-based Genetic Algorithm (GA) with interactive metamodel to acquire regular optimisation on dynamic characteristic of traffic flow. …”
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Thesis -
14
Integration Of G-Code With Position Controller Via Interpreter Design Using MATLAB For Milling Machine Application
Published 2019“…Based on the findings, it is concluded that more extraction time is required with increase in sample data size. …”
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15
Multi-modal association learning using spike-timing dependent plasticity (STDP)
Published 2014“…Prior to a learning simulation, we extract the features of the biometrics used in the study. …”
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A comparative study of vibrational response based impact force localization and quantification using radial basis function network and multilayer perceptron
Published 2017“…A comparative study between these two algorithms was conducted via experimental approach. …”
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Snort-based smart and swift intrusion detection system
Published 2018“…Methods/Statistical Analysis: The features are extracted using back-propagation algorithm. Then, only these relevant features are trained with the help of multi-layer perceptron supervised neural network. …”
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Identifying the correct articulation point of a Quranic letters of the throat (al-halqu) makhraj
Published 2023“…This study presents the algorithm design, technique, and simulation of a Speech Recognition-based method to detect the correct articulation point (Makhraj) of the throat letters in the Quranic word. …”
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Constant lock circuit for DC micro-grid system
Published 2017“…The models of the DC micro-grid with CLC system are simulated in Proteus8 Professional. Results obtained from simulations have proven that the proposed algorithm system strategy have achieved its aims through keeping constant 24v with percentage error 0.059%.…”
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Thesis -
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Detection and Severity Identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks
Published 2021“…Recent neural network based stiction detection methods published are only able to perform either stiction detection or quantification, which open up an area of research to propose a simplified algorithm to simultaneously detect and quantify stiction with high generalization capability. …”
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