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Utilization of canny and velocity bunching algorithms for modelling shoreline change
Published 2006“…There is significant relationship between shoreline change rate estimated using Canny algorithm and ones modeled using velocity bunching model. …”
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Conference or Workshop Item -
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Modeling And Simulation Of Photovoltaic Module With Enhanced Perturb And Observe MPPT Algorithm Using Matlab/Simulink
Published 2016“…Modeling and analysis of photovoltaic (PV) system is substantial for designers of solar power plants to do a yield investigation that precisely predicts the expected output power under changing weather conditions. …”
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Power Delivery Network Modeling And Simulation By Using Delaunay-Voronoi Triangulation And The Latency Insertion Method
Published 2018“…The research is focused into the analysis of PDN by modeling and simulation of the power plane. In the project, power plane is modeled using Delaunay-Voronoi algorithm and for simulation, a fast transient simulation algorithm which is latency insertion method (LIM) is applied. …”
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Monograph -
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Application of the Whale Optimization Algorithm (WOA) in Reservoir Optimization Operation Under Investigation of Climate Change Impact: A Case Study at Klang Gate Dam, Malaysia
Published 2024“…The effectiveness of analyzing large amounts of data that comes with engaging climate change scenarios, for planning advanced reservoir management can be achieved through the use of optimization algorithms. …”
Conference Paper -
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IMPLEMENTATION OF NOISE CANCELLATION WITH HARDWARE DESCRIPTION LANGUAGE
Published 2006“…The project is divided into four main parts: research, Matlab simulation, ModelSim simulation and hardware implementation. …”
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Final Year Project -
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Holograph interferomatery for modelling rate change of shoreline from airsar data
Published 2007“…The hologram algorithm has been applied to simulate the wave spectra propagation pattern. …”
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Conference or Workshop Item -
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Photovoltaic System with INC MPPT Algorithm in MATLAB Simulink
Published 2013“…Simulation results show that the MPPT with INC algorithm offers the best performance in terms of its fastest response in tracking new MPP and highest efficiency under rapid change of irradiance level.…”
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Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)
Published 2008“…This paper involves engine modeling in 1D software simulation environment, GT-Power. …”
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Proceeding Paper -
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Sensitivity-based fuzzy multi-objective portfolio model with Value-at-Risk
Published 2019“…In addition, compared with the VaR-FMOPSM model, our sensitivity-based improved model with the IPSO algorithm also performs better than Genetic Algorithm and Simulate Anneal Algorithm (SA), it provides the same performance on this point. …”
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Slice sampler and metropolis hastings approaches for bayesian analysis of extreme data
Published 2016“…Here, we have exhaustedly studied all the possible priors for location and scale parameters and come out with a few suggestions for the prior selection of a Gumbel model. The slice sampler method can adaptively change the scale of changes made, which makes it easier to tune than Metropolis Hastings algorithm. …”
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Thesis -
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Simulation of Tsunami Wave Spectra on Sri Lanka and Indonesia
Published 2006“…Edge detection algorithms of Soble and Canny used to determine coastal vegetation line changes due to the impact of tsunami event. …”
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Simulation of Tsunami Wave Spectra on Sri-Lanka and Indonesia
Published 2006“…Edge detection algorithms of Soble and Canny used to determine coastal vegetation line changes due to the impact of tsunami event. …”
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Enhanced genetic algorithm optimization model for a single reservoir operation based on hydropower generation: case study of Mosul reservoir, northern Iraq
Published 2016“…The first algorithm was based on the traditional simulation of reservoir operation, whilst the second algorithm (Salg) enhanced the GAOM by changing the population values of GA through a new simulation process of reservoir operation. …”
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Implementation of an inverse-model-based control strategy using neural networks on a partially simulated exothermic reactor
Published 2000“…This paper describes a novel implementation of a neural network inverse-model based control method on a experimental system-a partially simulated reactor, designed to test the use of such non-linear algorithms. …”
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Cure fraction model for interval censoring with a change point based on a covariate threshold
Published 2015“…Maximum likelihood estimators of the model parameters are obtained using the Expectation Maximization (EM) algorithm. …”
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Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line
Published 2010“…As the total objective values in most of problems could not be improved by simulated algorithm, it proved the well performing of proposed intelligence based genetic algorithm in reaching the near optimal solutions.…”
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