Search Results - (( developing code clustering algorithm ) OR ( java implementation 5s algorithm ))
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Image clustering comparison of two color segmentation techniques
Published 2010“…There are many algorithm for analysing clustering each having its own method to do clustering. …”
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Performance evaluation of real-time multiprocessor scheduling algorithms
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A COMPARISON STUDY OF DATA CLUSTERING AND VISUALISATION TECHNIQUES WITH VARIOUS DATA TYPES
Published 2020“…The clustering algorithms are written using Python language by modifying the coding obtained from the Internet. …”
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Final Year Project Report / IMRAD -
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Development and characterization of anonymous nuclear markers to determine genetic variation in two groupers species and their hybrids
Published 2015“…This study set forth to overcome this limitation by developing the second generation of non-coding non informative anonymous nuclear markers (ncni-ANM) for subsequent genetic characterization of Fl grouper hybrids. …”
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Neural network-based codebook search for image compression
Published 2000“…Since the candidate set is usually much smaller that the whole code book, there is a substantial saving in codebook search time for coding an image as compared to the traditional method using full codebook search by LBG algorithm.…”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. This application can be installing into the mobile phone.…”
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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 support vector machines (SVM) algorithm obtained the overall best results of 94.5% accuracy, 91.8% precision, 91.7% recall, and 91.1% f-Measure while the naïve bayes (NB) algorithm obtained the best AUC score of 0.944 with the tweet data of Dato Seri Anwar. …”
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An Educational Tool Aimed at Learning Metaheuristics
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Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
Published 2016“…Beside that, classic bag of visual words algorithm (BoVW) is based on kmeans clustering and every SIFT feature belongs to one cluster and it leads to decreasing classification results. …”
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Mining association rules from structured XML data
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Scalable approach for mining association rules from structured XML data
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
Published 2020“…Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems. …”
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