Search Results - (( ((data distribution) OR (a distribution)) a algorithm ) OR ( peer evaluation case algorithm ))
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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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Improved algorithm for evaluation of lightning induced overvoltage on distribution lines
Published 2010“…Induced overvoltage is a major cause of interruption on distribution networks and specific research is needed in evaluating the amount of overvoltage induced on such network accurately without many assumptions involved. …”
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An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan
Published 2018“…The results showed the effectiveness of the proposed method for detecting multiple clusters in a spatiotemporal space. © 2018 Ullah et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.…”
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An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan
Published 2018“…The results showed the effectiveness of the proposed method for detecting multiple clusters in a spatiotemporal space. © 2018 Ullah et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.…”
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Traffic management algorithms for LEO satellite networks
Published 2016“…In dealing with traffic routing problem, two algorithms, Dijkstra's Shortest Path and Genetic Algorithm (GA) are combined together and enhanced to re-strategize a better routing mechanism for a heterogeneous mix of traffic classes ranging from traditional voice calls to multimedia data services in Low Earth Orbit (LEO) satellite networks. …”
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6
Kalman filter based impedance parameter estimation for transmission line and distribution line
Published 2019“…To demonstrate the efficiency of the new proposed method, a case study of simulated distribution line in UMP is also considered. …”
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Development of an effective clustering algorithm for older fallers
Published 2022“…A total of 1279 subjects and 9 variables were selected for clustering after the data pre-possessing stage. …”
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Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data
Published 2011“…In this case, the estimation was developed based on the exponential and Weibull distributions using the right and interval censoring types; and 2) when covariates were incorporated into the analysis through the scaleparameter of the exponential distribution only using the same types of data censoring. …”
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Optimum MV Feeder Routing and Substation siting and rating in Distribution Network
Published 2014“…The results showed the effectiveness of the proposed algorithm to find the acceptable location and sizing of distribution substations with a proper routing of the feeder.…”
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Development of priority oriented scheduling method to increase the efficiency and reliability for automotive job
Published 2012“…Besides the mentioned simulated algorithm, there is a mathematical proof to prove the enhancement of reliability. …”
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A Hydrologic Model for Studying the Climate Change Impact on Evapotranspiration and Water Yield in a Humid Tropical Watershed
Published 1998“…A distributed parameter modelling approach was used whereby a watershed was subdivided into relatively homogeneous ground response units (GRUs) to provide distributed parameter capabilities. …”
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12
An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis
Published 2016“…This has greatly reduced the performance of RCA, especially in manufacturing domain, where existence of imbalanced data is a norm in a production plant. In addition, exponential growth of data causes high computational costs in Apriori-like algorithms. …”
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13
Optimum Feeder Routing and Distribution Substation Placement and Sizing using PSO and MST
Published 2014“…A long term distribution network planning consists of several complexity aspects due to the multiple decision variables in objective functions. …”
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Parameter estimation of Kumaraswamy Burr type X models based on cure models with or without covariates
Published 2017“…The Burr Type X (BX) distribution was chosen because of its PDF and CDF are of a closed form. …”
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15
Classification of imbalanced travel mode choice to work data using adjustable svm model
Published 2021“…This study deals with imbalanced mode choice data by developing an algorithm (SVMAK) based on a support vector machine model and the theory of adjusting kernel scaling. …”
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Performance evaluation of task scheduling using hybrid meta-heuristic in the heterogeneous cloud environment
Published 2019“…The results will be compared with a three heuristic algorithms. The performance evaluation in this work is a statically analysis that used in an experimental comparison. …”
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An optimal under frequency load shedding scheme for islanded distribution network / Amalina Izzati Md Isa
Published 2018“…However, the implementation of this technique is feasible for a smart grid distribution system possessing effective communication means, comprehensive monitoring tools and advanced sensors for transferring measurement data and executes load shedding.…”
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A Hybrid Metaheuristic Technique Based on Grey Wolf Optimisation, Symbiotic Organism Search, and Ant Colony Optimisation for Solving Multi-Objective Vehicle Routing Problems
Published 2025“…However, the single-vehicle route has limited operational scalability. A hub-based Strategy was introduced to improve workload distribution at the expense of an increase in the total travel distance of 119.56 km. …”
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Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine
Published 2019“…The RX_myKarve is an extended framework from X_myKarve, which consists of the following key components: (i) an Extreme Learning Machine (ELM) neural network for clusters classification using three existing content-based features extraction (Entropy, Byte Frequency Distribution (BFD) and Rate of Change (RoC)) to improve the identification of JPEG images content and support the reassembling process; (ii) a genetic algorithm with Coherence Euclidean Distance (CED) matric and cost function to reconstruct a JPEG image from a set of deformed and fragmented clusters in the scan area. …”
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