Search Results - (( java simulation optimization algorithm ) OR ( quality prediction using algorithm ))
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Sustainable Management Of River Water Quality Using Artificial Intelligence Optimisation Algorithms
Published 2021“…River water quality data from 1999 to 2018 was utilised to generate 63 input data combinations for WQI predictions to compare the importance of water quality parameters. …”
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Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Monograph -
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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A study of feature selection algorithms for predicting students academic performance
Published 2018“…The good quality of educational dataset can produce better results and hence the decisions based on such quality dataset can increase the quality of education by predicting the performance of students. …”
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A study of feature selection algorithms for predicting students academic performance
Published 2018“…The good quality of educational dataset can produce better results and hence the decisions based on such quality dataset can increase the quality of education by predicting the performance of students. …”
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Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network
Published 2021“…Thereupon, in this study, the WQI prediction model for Penang rivers has been developed by using Artificial Neural Network (ANN) architecture in MATLAB. …”
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A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm.
Published 2009“…The approach is based on the using longest common subsequence algorithm to classify current user activities to predict user next movement. …”
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Prediction of river water quality based on Artificial Neural Network / Danial Mustaqim Azmi ... [et al.]
Published 2024“…It can be used to predict quality for water taken from river, which is a major source of life particularly for human. …”
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GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms
Published 2021“…Although some studies have predicted air pollutants such as particulate matter (PM) using machine learning algorithms (MLAs), there is a paucity of studies on spatial hazard assessment with respect to the air quality index (AQI). …”
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Discovering decision algorithm of distance protective relay based on rough set theory and rule quality measure
Published 2011“…The KDD approach was applied on a simulated event report recording ‘extracted’ from a numerical distance relay that had been modeled to emulate an actual distance protective relay device used by TNB, a Malaysian utility company. The high prediction accuracy rate and the close-to-unity area under curve (AUC) value of ROC curve of the discovered relay decision algorithm (prediction rules) from the Rough-Set-Theory-and-Genetic-Algorithm data mining verified the algorithm’s generalized ability to predict as well as discriminate future unknown-trip-status relay events. …”
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Monthly chlorophyll-a prediction using neuro-genetic algorithm for water quality management in Lakes
Published 2016“…Practical uses for NGA in proactive water quality management are also discussed in this study.…”
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Octane number prediction for gasoline blends using convolution neural network / Zhu Yue
Published 2021“…In the project three commonly use algorithm are used for prediction of octane number for gasoline blends, which describes the behavior of the fuel in the engine at lower temperatures and speeds, and is an attemp to simulate acceleration behavior.These tree algorithm are back propagation (BP), radial basis funtion (RBF) and Extreme learning machine (ELM) algorithm. …”
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