Search Results - (( data distribution impact algorithm ) OR ( new evaluation index algorithm ))
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Optimal planning of photovoltaic distributed generation considering uncertainties using monte carlo pdf embedded MVMO-SH
Published 2021“…The load flow patterns will significantly have affected when uncertain PV generation – load models are considered into the power flow algorithm. A new method of probabilistic backward – forward sweep power flow (BFSPF) based on Monte Carlo – PDF is developed as the fitness evaluation for the PVDG planning. …”
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Optimization of RFID network planning using MDB-FA method
Published 2017“…The generated data are utilized as an input representation to apply into firefly algorithm based on Density-Based Algorithm (DBSCAN) to find the optimal network solution. …”
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An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani
Published 2015“…The urban growth images obtained are analysed to improve existing classification algorithms. The improved algorithm is constructed by adding new parameter and classification rule to existing algorithm. …”
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Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering
Published 2024“…Experiments were conducted on six UCI datasets to validate the effectiveness of the BDFCOM, comparing its performance against seven other clustering algorithms using six evaluation indices. The results show that compared to the average of the other seven algorithms, BDFCOM improves about 15 percent on F1-score, 11 percent on Rand Index, 13 percent on Adjusted Rand Index, 3 percent on Fowlkes-Mallows Index and 16 percent on Jaccard Index. …”
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A New Unsupervised Validation Index Model Suitable for Energy-Efficient Clustering Techniques in VANET
Published 2024“…Clustering evaluation techniques are important to check the clustering algorithm quality. …”
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Bat algorithm for dam–reservoir operation
Published 2018“…This study investigates one of the new optimization algorithms, namely, Bat Algorithm (BA). …”
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The normalized random map of gradient for generating multifocus image fusion
Published 2020“…Many researchers have developed many new and sophisticated methods. They show complicated computation and algorithm. …”
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Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Researches on data Cloud Computing become the necessary trend in the distributed Cloud Computing system domain since the sources and application of the data are distributed and the scale of the applications enlarges quickly. …”
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Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
Published 2016“…Thus, a new hybrid algorithm with higher accuracy of computation is developed in this project. …”
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A new ant based rule extraction algorithm for web classification
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Modeling and Analysis of New Hybrid Clustering Technique for Vehicular Ad Hoc Network
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Segmentation of MRI brain images using statistical approaches
Published 2011“…The Dice similarity index for the proposed noise-reduction algorithm on 9% noise level was obtained about 0.918 with considerable improvement compared to NL-means. …”
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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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Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm
Published 2025“…Data vectors are generated based on the time needed, sequential and parallel candidate feature data are obtained, and the data rate is combined. …”
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A Continuous Overlay Path Probing Algorithm For Overlay Networks
Published 2013“…Several experiments were carried out using the OMNeT++ simulation framework. The designed algorithm was evaluated using experimental data. The obtained results show that the continuous in-band overlay path probing algorithm (COPPA) provides up-to-date bandwidth information with reduced overhead and minimal impact on the traffic of the path.…”
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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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