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Max-average: an extended max-min scheduling algorithm for Grid computing environtment
Published 2016“…This paper presents a new proposed grid based scheduling algorithm called Max-Average, inspired from Max-Min algorithm. …”
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Batch mode heuristic approaches for efficient task scheduling in grid computing system
Published 2016“…We simulate our proposed algorithms using a Java based simulator that is purposedly built for Grid computing simulations. …”
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A multidimensional data descriptor tool based on fuzzy min max neural network algorithm
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Priority hybrid and EEF uplink scheduling algorithm for IEEE 802.16E
Published 2013“…In this research, two algorithms tailored at enhancing the performance of hybrid algorithms in the WiMAX domains have been designed and developed. …”
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The application of neural networks and min-max algorithm in digital congkak
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Reactive max-min ant system: An experimental analysis of the combination with K-OPT local searches
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An optimal tasks scheduling algorithm based on QoS in cloud computing network
Published 2017“…This study presents an optimal task scheduling algorithm by enhancing Max-Min and TS algorithm. Our proposed algorithm isolates the resources into two different groups where the first group contains the resources with maximum execution time while the second group contains the resources with minimum execution time. …”
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A new minimum pheromone threshold strategy (MPTS) for max-min ant system
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An adaptive QOS scheduling algorithm in service oriented grid and cloud environment / Ang Tan Fong
Published 2011“…The use of Grid and Cloud Computing for resource sharing has received tremendous attention in recent years. …”
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Modern fuzzy min max neural networks for pattern classification
Published 2019“…To build an efficient classifier model, researchers have introduced hybrid models that combine both fuzzy logic and artificial neural networks. Among these algorithms, Fuzzy Min Max (FMM) neural network algorithm has been proven to be one of the premier neural networks for undertaking the pattern classification problems. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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A comparative evaluation of heuristic and metaheuristic job scheduling algorithms for optimized resource management in cloud environments
Published 2026“…The CloudSim simulator is applied to evaluate each algorithm using key performance metrics, including makespan, average flow time, and the number of cloudlets that fail to meet deadlines. …”
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Lambda-Max neuro-fuzzy system / Nurul Adzlyana Mohd. Saadon
Published 2013“…The newly developed Lambda-Max ANFIS is then used to predict the physical properties of degradable plastics using real life data obtained from the laboratory of the Malaysian Palm Oil Board (MPOB). …”
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Explaining recreationist responsible behaviour : a case of scuba diving / Ong Tah Fat
Published 2012“…The use of Grid and Cloud Computing for resource sharing has received tremendous attention in recent years. …”
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Ant colony algorithm for job scheduling in grid computing
Published 2010“…Scheduling jobs to resources in grid computing is complicated due to the distributed and heterogeneous nature of the resources.Stagnation in grid computing system may occur when all jobs require or are assigned to the same resources.This will lead to resourccs having high workload and stagnation may occur if computational times of the processed jobs are high.This paper proposed an enhanced ant colony optimization algorithm for jobs and resources scheduling in grid computing.The proposed ant colony algorithm for job scheduling in the grid environment combines the techniques from Ant Colony System and Max - Min Ant System.The algorithm focuses on local pheromone trail update and the trail limit values. …”
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