Search Results - (( data solution using algorithm ) OR ( java application among algorithm ))
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Network monopoly / Tan Kean Yeap
Published 2002“…The number of computers in use worldwide, according to the International Data Corporation, is in excss of 100 milion. …”
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Smart student timetable planner
Published 2025“…The system is implemented using Node.js with Express for server-side development, HTML, CSS, and JavaScript for the frontend, and Socket.IO for real-time collaboration. …”
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Direct approach for mining association rules from structured XML data
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A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…The prototypes will be developed using JAVA language united with a MySQL database. Core functionality of the simulator are job generation, volunteer generation, simulating algorithms, generating graphical charts and generating reports. …”
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Group formation using genetic algorithm
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Network game (Literati) / Chung Mei Kuen
Published 2003“…The possible applications of multimedia-networked system are endless, as the demand to support interactive communication among groups of users has increased significantly. …”
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Efficient and secured compression and steganography technique in wireless sensor network
Published 2016“…Two datasets have been used in the experiment, generated data set and Harvard Sensor Lab data set, in order to validate the performance of the proposed solution. …”
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Improvement DACS3 Searching Performance using Local Search
Published 2009“…Embedding such behavior has improved quality of solution and time taken to reach the solution. However, the algorithm performance is reduced for large data set. …”
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Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…Results of the experiments that were conducted using various data sets showed that the proposed algorithm produced better course schedule solution than the Greedy Algorithm, Genetic Algorithm, and other variants of Ant System 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. The proposed method can be applied in smart cities, monitoring, health delivery, augmented reality, and gaming among others.…”
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Information Security Analysis and Solution using LSB Steganography and AES Cryptographic Algorithm
Published 2023“…The AES algorithm is the cryptographic technique used to lock or encrypt data. …”
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A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems
Published 2019“…The excellent proficiency of the developed intelligence expert system is the result of the hybrid structure of the BA and PSO algorithm and the substitution of weaker solutions in each algorithm with better solutions from other algorithms. …”
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Data Analysis using Particle Swarm Optimization Algorithm
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An enhanced version of black hole algorithm via levy flight for optimization and data lustering problems
Published 2019“…The processes of retrieving useful information from a dataset are an important data mining technique that is commonly applied, known as Data Clustering. …”
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Multi-objective clustering algorithm using particle swarm optimization with crowding distance (MCPSO-CD)
Published 2020“…Clustering, an unsupervised method of grouping sets of data, is used as a solution technique in various fields to divide and restructure data to become more significant and transform them into more useful information. …”
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Simulated annealing algorithm for scheduling divisible load in large scale data grids.
Published 2009“…Many Scheduling approaches have been studied but there is no optimal solution. This paper proposes a novel Simulated Annealing (SA) algorithm for scheduling divisible load in large scale data grids. …”
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Spatial Clustering Algorithm for Time Series Rainfall Data Using X-Means Data Splitting
Published 2017“…Therefore, a clustering algorithm by introducing data transformation using X-means data splitting is proposed to investigate the spatial homogeneity of time series rainfall data. …”
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