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1
The Performance of Chlorophyll-a Distribution Estimation by Using Ratio Algorithm on Landsat-8 in Sungai Merbok Estuary / Jesse Vince Rabing ... [et al.]
Published 2022“…The distribution models generated from the algorithms were utilizing Landsat-8 satellite images with B-G and B-R bands ratio. …”
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2
Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad
Published 2017“…Eventually, the workflow is executed. The second algorithm is a variation in first algorithm in which data parallelism is introduced in each partition. …”
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3
Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…To implement the parallel algorithms a distributed parallel computing laboratory using easily available low cost computers is setup. …”
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4
Simulating Electrohydrodynamic Ion-Drag Pumping on Distributed Parallel Computing Systems
Published 2017“…To implement the parallel algorithm a distributed parallel computing system using MATLAB Distributed Computing Server (MDCS) is configured. …”
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5
Variational Bayesian inference for exponentiated Weibull right censored survival data
Published 2023“…The exponential, Weibull, log-logistic and lognormal distributions represent the class of light and heavy-tailed distributions that are often used in modelling time-to-event data. …”
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6
Optimal planning of photovoltaic distributed generation considering uncertainties using monte carlo pdf embedded MVMO-SH
Published 2021“…The urban residential, commercial and industrial load profiles for one reference year are used for the load modelling. The probabilistic values of PV generation and load models are employed as the input data to the load flow analysis for the radial distribution network. …”
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7
Stochastic And Modified Sequent Peak Algorithm For Reservoir Planning Analysis Considering Performance Indices
Published 2016“…The tests are implemented for testing consistency, stationarity, randomness and determining the most appropriate probability distribution function of the historical data. Subsequently, Auto-regressive lag one, AR(1), coupled with Valencia-Schaake (V-S) disaggregation model are applied to generate synthetic streamflow data. …”
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8
Strut-and-tie model for externally bonded CFRP-strengthened reinforced concrete deep beams based on particle swarm optimization algorithm: CFRP debonding and rupture
Published 2017“…The proposed model was validated using experimental data collected from the current study and existing literature. …”
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9
A Multi-Criteria Decision-Making Approach for Targeted Distribution of Smart Indonesia Card (KIP) Scholarships
Published 2025“…This study aims to develop a comprehensive decision-making model for KIP scholarship selection through four main stages. …”
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10
EEG-and MRI-based epilepsy source localization using multivariate empirical mode decomposition and inverse solution method
Published 2018“…In the current study, clinical dataset of 20 subjects were used to examine sLORETA andWMN fed by raw EEG signals and MEMD features on each patient’s realistic head model. sLORETA in combination with MEMD feature after eye blink removal proved to be a reliable ESL algorithm with 100% accuracy. …”
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11
Combustion modelling of an industrial municipal waste combustor in Malaysia
Published 2006“…CFD flow simulations can already permit detailed parametric variations of design variables. CFD modelling of an industrial scale MSW incinerator was done using FLUENT. …”
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12
Generation of synthetic 5G network dataset using Generative Adversarial Network (GAN)
Published 2024“…The existence of Generative Adversarial Network (GAN) helps solve the issue by generating fake data from an existing dataset to resemble real-world data to be used in training and testing of different algorithms. …”
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13
Estimating Gross Primary Production (GPP) of Kelantan forest area using MODIS
Published 2020“…The objective of this study is to estimate Gross Primary Production (GPP) value of forested area in Kelantan using MODIS EVI data. The MODIS data products was taken and downloaded from The Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC) website. …”
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14
Dose verification procedures in radiotherapy
Published 1999“…In most test cases dose variations were less than 2%. The variation between measured and calculated data for all the test conditions ranged from 0.3% to 6.9%. …”
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15
Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…These kind of activities highly sparsely distributed in the input space which is problematic to be distinguish using traditional classifier model. …”
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16
Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios
Published 2015“…Long Ashton Research Station-Weather Generator (LARS-WG) model is used firstly which was calibrated and validated using daily observed sunshine hours, rainfall, minimum and maximum temperature data. …”
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17
Combustion modeling of municipal waste combustor
Published 2005“…However, CFD flow simulations can enable detailed parametric variations of design variables. CFD modeling of an industrial scale MSW incinerator was done using FLUENT. …”
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18
DC-based PV-powered home energy system
Published 2017“…For more accurate mathematical representation for the empirical outcome power data, a mathematical model based on Bode Equations and Vector Fitting algorithm has been proposed to govern the load power profile of the proposed system. …”
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19
Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani
Published 2018“…Then, the performance of the MHTan is evaluated using actual data collected as well as three simulated data representing three different typical shapes of the power curve. …”
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20
Evaluation of optimal cooling control for seeded batch crystallization inclusive dissolution with uncertainties
Published 2020“…Then the robustness evaluation of controller was tested through uncertainty analysis using Monte Carlo simulations in order to analyse the effect of input uncertainties towards the variation of the product distribution. …”
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