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177 articles for “selection algorithm”
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Research ArticleOpen accessAll words, across the recordQUANTITATIVE EVALUATION OF JOB AND RESOURCES FOR BETTER SELECTION TO IMPROVE MAKESPAN IN GRID SCHEDULINGKrishnamoorthy Natarajan, Asokan Ramasamy, Sangeetha SubramanianThis study presents the Priority based ranking of jobs and resources to improve the Makespan in the grid scheduling problem. Grid environment’s effectiveness largely depends on scheduler’s effectiveness/efficiency as they act as local resource brokers. The scheduler is responsible to select resources/scheduling jobs so that users/application requirements are met regarding overall execution time (throughput) and the resources use cost. The … …Journal of Computer Science, Vol. 10, Issue 5 · 4 Jan 2014 · 6,554 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAmeliorate Fuzzy C-Means: An Ameliorate Fuzzy C-Means Clustering Algorithm for CT-Lung Image SegmentationJ. Bridget Nirmala, S. GowriEffective and efficient image segmentation acts as a preliminary stage for the computer-aided diagnosis of medical images. For image segmentation, many FCM-based clustering techniques have been proposed. Regrettably, the existing FCM technique does not generate accurate and standardized segmentation results. This is due to the noise present in the image as well as the random initialization of membership values for … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 1 Oct 2013 · 6,819 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordNelder-Mead Method with Local Selection Using Neighborhood and Memory for Stochastic OptimizationNoocharin Tippayawannakorn, Juta PichitlamkenWe consider the Nelder-Mead (NM) simplex algorithm for optimization of discrete-event stochastic simulation models. We propose new modifications of NM to reduce computational time and to improve quality of the estimated optimal solutions. Our means include utilizing past information of already seen solutions, expanding search space to their neighborhood and using adaptive sample sizes. We compare performance of these extensions … …Journal of Computer Science, Vol. 9, Issue 4 · 10 May 2013 · 6,121 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEnhanced Ensemble Prediction Algorithms for Detecting Faulty Modules in Object Oriented Systems Using Quality MetricsM. Punithavalli, C. NeelamegamThe high usage of software system poses high quality demand from users, which results in increased software complexity. To address these complexities, software quality engineering methods should be updated accordingly and enhance their quality assuring methods. Fault prediction, a sub-task of SQE, is designed to solve this issue and provide a strategy to identify faulty parts of a program, so … …Journal of Computer Science, Vol. 8, Issue 12 · 20 Dec 2012 · 6,435 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEnsuring Multi Messages Broadcasting in Mobile Ad Hoc Network using Network Coding ApproachS. V.M.G. Bavithiraja, R. RadhakrishnanProblem statement: In mobile adhoc network, broadcasting is a common operation for route establishment and for sending control and emergency messages. Most of the existing broadcasting algorithms consider broadcasting from single source node and consider only single message broadcasting. Initiating multiple messages broadcasting from multiple sources is a challenging task which requires minimum number of retransmission made by the forwarding … …Journal of Computer Science, Vol. 8, Issue 6 · 17 Mar 2012 · 7,055 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordExtension and Prerequisite: An Algorithm to Enable Relations Between Responses in Chatbot TechnologyAbbas Saliimi Lokman, Jasni Mohamad ZainProblem statement: Artificial intelligence chatbot is a technology that makes interactions between man and machines using natural language possible. From literature, we found out that in general, chatbot are functions like a typical search engine. Although chatbot just produced only one output instead of multiple outputs/results, the basic process flow is the same where each time an input is entered, … …Journal of Computer Science, Vol. 6, Issue 10 · 24 Aug 2010 · 16,993 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordDeep Learning in Early Alzheimer’s Disease’s Detection: A Comprehensive Survey of Classification, Segmentation and Feature Extraction MethodsRubab Hafeez, Sadia Waheed, Syeda Aleena Naqvi et al.Alzheimer’s disease is a deadly neurological condition, impairing important memory and brain functions. Alzheimer’s disease promotes brain shrinkage, ultimately leading to dementia. Dementia diagnosis typically takes 2.8-4.4 years after the first clinical indication. Advancements in computing and information technology have led to many techniques for studying Alzheimer's disease. Early identification and therapy are crucial for preventing Alzheimer's disease, as early-onset … …Journal of Computer Science, Vol. 21, Issue 5 · 26 Apr 2025 · 5,765 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordComputational Analysis of Genre Effects on Movie Ratings Using MLP AlgorithmsSubir Gupta, Upasana Adhikari, Shefali Varshney, Tanupriya ChoudhuryPredictive analytics are what the entertainment industry depends on so much in prognosticating movie ratings, which is why they inform filmmakers, distributors and stream platforms strategic moves. Traditional prediction models most times only succeed in missing out on the intricate dynamics that are genre-specific to movie ratings thereby leading to inaccuracies and suboptimal decision making. The paper proposes this research … …Journal of Computer Science, Vol. 21, Issue 4 · 19 Mar 2025 · 5,534 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPredicting Missing Attribute Values Using k-Means ClusteringNambiraj Suguna, Keppana Gowder ThanushkodiProblem statement: Predicting the value for missing attributes is an important data preprocessing problem in data mining and knowledge discovery tasks. Several methods have been proposed to treat missing data and the one used more frequently is deleting instances containing at least one missing value of a feature. When the dataset has minimum number of missing attribute values then we … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,873 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA 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 · 6,908 accessesView PDFCite