Search Results - (( data distribution drops algorithm ) OR ( parameters variation modeling algorithm ))
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OPTIMAL CABLE SELECTION IN RADIAL DISTRIBUTION NETWORKS CONSIDERING PLANNER'S DEFINED VOLTAGE DROP LIMIT
Published 2002“…New computer algorithms are provided to determine the optimal cable size selection considering radial distribution networks and planner of power distribution defined allowable voltage drop all over the networks. …”
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Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah
Published 2015“…Anderson-Darling (AD) and Goodness of Fit test is used to identify the best fitted distribution model to the real data. Four traffic distribution which are normal, lognormal, Weibull and exponential distribution are fitted and derived. …”
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Robustness Analysis Of An Optimized Controller Via Particle Swarm Algorithm
Published 2017“…The finding shows that the SMC that utilized the PSO algorithm parameters are capable to produce smaller robustness index values, which demonstrated better robustness characteristic in confront with the variation of the system parameter.…”
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RED, GRED, AGRED congestion control algorithms in heterogeneous traffic types
Published 2013“…The performance metric used to show the analysis of these algorithms with mentioned distributions is Packet Loss (Pl).Results of simulation show that each algorithm performed a fair dropping of data packets without considering of their types.…”
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5
Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah
Published 2015“…Anderson-Darling (AD) and Goodness of Fit test is used to identify the best fitted distribution model to the real data. Four traffic distribution which are normal, lognormal, Weibull and exponential distribution are fitted and derived. …”
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Red, gred, agred congestion control algorithms in heterogeneous traffic types
Published 2013“…Results of simulation show that each algorithm performed a fair dropping of data packets without considering of their types.…”
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Decentralized Adaptive Pi With Adaptive Interaction Algorithm Of Wastewater Treatment Plant
Published 2014“…The error function is minimized directly by approximate Frechet tuning algorithm without explicit estimation of the model. …”
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Identifying and estimating solar cell parameters using an enhanced slime mould algorithm
Published 2024“…This study proposed an enhanced slime mould algorithm (ESMA) for identifying the solar cells’ parameters for five photovoltaic (PV) models, making two modifications to the original slime mould algorithm (SMA). …”
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Model-based hybrid variational level set method applied to lung cancer detection
Published 2024“…This paper presents a novel model-based hybrid variational level set method (VLSM) tailored for lung cancer detection. …”
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Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system
Published 2010“…Where the variation in thermodynamic conditions causes an uncertainty in a number of the model’s parameters and the large change of pneumatic actuator load leads to variation in the actuator dynamics. …”
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Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance
Published 2020“…These algorithms use data from extraterrestrial irradiance, atmospheric profiles, digital elevation models, and radiative transfer models to calculate the amount of irradiance on Earth’s surface to reduce distortions due to the topographic effect. …”
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Optimization of robust and LQR control parameters for half car model using genetic algorithm
Published 2019“…The weights of Robust H-infinity and LQR controller are obtained using Genetic Algorithm on a half car model with two different types of usually existing road disturbance.The design parameters of both the active controller varies with various road profiles. …”
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Hybrid Control of A Quadrotor System Carrying Suspended Payload With Parameter Variations
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Model-based hybrid variational level set method applied to object detection in grey scale images
Published 2024“…This algorithm leverages an improved multi-scale mean filter to mitigate grayscale inhomogeneity while reducing the impact of scale parameter selection. …”
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16
Backstepping Integral Super Twisting Sliding Mode Control Algorithm For Autonomous Underwater Glider
Published 2019“…As a result, a robust and reliable has been designed using back-stepping integral super twisting sliding mode control algorithm (BISTSMC) for nonlinear model of longitudinal plane of an AUG. …”
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17
Variational Bayesian inference for exponentiated Weibull right censored survival data
Published 2023“…The results from the experiments reveal that the Variational Bayesian (VB) approach is better than the competing Metropolis-Hasting Algorithm and the reference maximum likelihood estimates.…”
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The effect of key parameters on the design of an optimized CAES power plant
Published 2017“…This paper deals with a modeled compressed air energy storage power plant which has been optimized thermodynamically through an efficient genetic algorithm code. …”
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Identification of continuous-time model of hammerstein system using modified multi-verse optimizer
Published 2021“…his thesis implements a novel nature-inspired metaheuristic optimization algorithm, namely the modified Multi-Verse Optimizer (mMVO) algorithm, to identify the continuous-time model of Hammerstein system. …”
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Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar
Published 2019“…In addition, ACO algorithm has been used for optimization of PID controller parameters to obtain within rated smooth output power of WT from fluctuating wind speed. …”
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