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196 results for “Genetic algorithm (GA)”
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Research ArticleOpen accessIn the keywordsEnvironmental Modeling for Traffic Noise in Urban AreaFrancis Cirianni, Giovanni LeonardiTraffic noise can be classified among the worst factors in terms of damage to people’s health and well-being. The trend of noise pollution modeling variable from the smart result of classic regressive models in the performance of many assessment models based on mathematical expressions, genetic algorithms and neural networks (of GRNN type, General Regression Neural Network). A methodological approach for … …American Journal of Environmental Sciences, Vol. 8, Issue 4 · 18 Jun 2012 · 7,444 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA NOVEL OPTIMIZATION MODEL FOR SIMULTANEOUS COST-RISK REDUCTION IN MULTI-SUPPLIERS JUST-IN-TIME SYSTEMSFaraj El Dabee, Romeo Marian, Yousef AmerIn today’s competitive global markets, Just-in-Time (JIT) is one of the main lean manufacturing approaches. It is used in organizations to improve performance and reduce costs and as a strategic core capability to ensure their market position. However, using JIT tightly couples various functions of the Supply Chain and increases the risk of propagating disruptions through the entire system. This … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 7,614 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA NOVEL APPROACH FOR TEST SUITE PRIORITIZATIONThangavel Prem Jacob, Thavasi Anandam RaviSoftware testing is an expensive, time consuming, important activity that controls the quality of the software and important part of the software development and the maintenance. In testing the time is spent mainly for generating test cases and to test them. Whenever the software product gets modified, a group of the test cases has to be re-executed and the new … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,913 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparison of Pre-Processing and Classification Techniques for Single-Trial and Multi-Trial P300-Based Brain Computer InterfacesChanan S. Syan, Randy E.S. HarnarinesinghThe P300 component of Event Related Brain Potentials (ERP) is commonly used in Brain Computer Interfaces (BCI) to translate the intentions of an individual into commands for external devices. The P300 response, however, resides in a signal environment of high background noise. Consequently, the main problem in developing a P300-based BCI lies in identifying the P300 response in the presence … …American Journal of Applied Sciences, Vol. 7, Issue 9 · 30 Sep 2010 · 7,577 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDiscretization Numerical Data for Relational Data with One-to-Many RelationsRayner AlfredProblem statement: Handling numerical data stored in a relational database has been performed differently from handling those numerical data stored in a single table due to the multiple occurrences (one-to-many association) of an individual record in the non-target table and non-determinate relations between tables. Numbers in Multi-Relational Data Mining (MRDM) were often discretized, after considering the schema of the relational … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 7,031 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRule Extraction from Radial Basis Functional Neural Networks by Using Particle Swarm OptimizationM. R. Senapati, I. Vijaya, P. K. DashRadial basis functional neural networks (RBFNN) provide an outstanding possibility for generating rules for solving pattern classification problems. One of the most important factors in RBFNN is finding out the center and spread. This paper examines rules extracted from RBF networks trained by Particle swarm Optimization (PSO). The selection of the RBFNN centers, spreads and the network weights can be … …Journal of Computer Science, Vol. 3, Issue 8 · 31 Aug 2007 · 6,791 accessesView PDFCite
Research ArticleOpen accessIn the abstractExplainability Aware Heterogeneous Temporal Graph Transformer for Automated Genetic Disorder Detection from Genomic DataPuvaneswari Subramaniapillai, Indirani Govindasamy, Revathy GurumurthyGenetic disorders affect millions worldwide, posing major challenges for accurate diagnosis and effective treatments. New developments in genomic technologies, especially Next-Generation Sequencing (NGS), have enhanced the classification of genetic modification and improved diagnostic abilities. Moreover, the Machine Learning (ML) and Deep Learning (DL) methods emerged as efficient tools for evaluating the intricate genomic data and determining the patterns, which can … …Journal of Computer Science, Vol. 22, Issue 11 · 14 Oct 2026 · 581 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrime Rate Analysis and Mapping from Socio-Economic Data Using Deep Neural NetworksSanthosh Sankara, Nadeson SugithaCrime prediction is the attempt to identify and mitigate future criminal activity. Crime is typically "unpredictable"; it cannot be predicted in advance. Addressing the roots of crime has long been a priority for researchers. Extracting causality from data is difficult if the relevant data aspects are not selected. In this research activity, an innovative classification framework is defined which is … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 5,097 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis on Prediction of Chronic KidneyDisease by various Machine Learning ModelsNikhil Verma, Tripti Sharma, Bobbinpreet Kaur, Ayush DograChronic Kidney Disease (CKD) is a prevalent global healthconcern, which is affecting a number of people in the whole world. Earlydetection & precise checking of CKD are really important for essentialsupervision & intervention to prevent disease progression and associatedcomplications. Machine learning (ML) models have emerged as favourabletools for CKD detection due to their ability to analyse complex data patternsand provide … …Journal of Computer Science, Vol. 21, Issue 6 · 24 May 2025 · 5,947 accessesView PDFCite
Research ArticleOpen accessIn the abstractBidirectional Blockchain-Based Secure Data Transfer Using GALOEEM Routing Protocol in WSNAnitha Rajakumari Ponjothi, Pritee ParwekarData exchange is hampered by the fact that warehouse data are distributed among warehouses. To propose a secure bidirectional blockchain-based data-sharing system that collects warehouse data and controls data sharing through bidirectional transformation. This study is proposed for establishing an efficient bi-directional data warehouse storage for script less blockchains with an infinite lifespan. The sensor provides the data used in … …Journal of Computer Science, Vol. 19, Issue 8 · 20 Jul 2023 · 5,822 accessesView PDFCite