Search Results - (( parallel distribution impact algorithm ) OR ( parameter estimation max algorithm ))
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1
Improved Location And Positioning Utilizing Single MIMO Base Station In IMT-Advanced System
Published 2016“…This algorithm based on the angle of arrival (AOA) and angle of departure (AOD) measurement parameter completed the new SMBS algorithm with virtual base station (SMVirBS). …”
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2
Kernel and multi-class classifiers for multi-floor wlan localisation
Published 2016“…The multi-class classification strategy is used to ensure quick estimation of the multi-class NN algorithms. All of the algorithms are later combined to provide device location estimation for multi-floor environment. …”
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3
Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm
Published 2025“…Parallel power loads anomalies are processed by a fast-density peak clustering technique that capitalizes on the hybrid strengths of Canopy and K-means algorithms all within Apache Mahout's distributed machine-learning environment. …”
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4
Electric vehicle battery state of charge estimation using metaheuristic-optimized CatBoost algorithms
Published 2025“…This study presents a hybrid approach combining the CatBoost algorithm with metaheuristic optimization techniques to enhance SoC estimation accuracy and robustness. …”
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5
Machine learning for mapping and forecasting poverty in North Sumatera: a datadriven approach
Published 2024“…The best model was created using the grid search cross-validation, while the best prediction results were created using the RF algorithm, with the following parameters: n-estimator = 50, max depth = 10, min samples split = 2, and min samples leaf = 1. …”
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6
Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Although researches on the load management in the cloud systems is similar to that of traditional parallel and distributed systems in many aspects, essential differences exist between them. …”
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7
New correlation for oil formation volume factor
Published 2014“…It is a family of inductive algorithms which executes computer-based mathematical modeling of multi-parametric data sets. …”
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8
Mapreduce algorithm for weather dataset
Published 2017“…This result has revealed the significant impact to the used of MapReduce Algorithm in weather prediction. …”
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9
Extreme air pollutant data analysis using classical and Bayesian approaches
Published 2015“…MTM algorithm is an extension of MH algorithm, designed to improve the convergence of MH algorithm by performing parallel computation. …”
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10
MapReduce algorithm for weather dataset
Published 2018“…This result has revealed the significant impact to the used of MapReduce Algorithm in weather prediction. …”
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11
Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios
Published 2015“…The first step, ANN was calibrated and validated by using daily observed evapotranspiration, rainfall, and stream flow (2003-2012). In order to estimate daily evapotranspiration, daily observed Min and Max temperature was used in the estimation based on Hargreaves-Samani equation. …”
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12
DC-based PV-powered home energy system
Published 2017“…A controller based on an algorithm of one time maximum power point (MPP) is proposed to mitigate those losses. …”
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