Search Results - parallel information ((generation algorithm) OR (selection algorithm))
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Web based personalized university timetable for UiTM students using genetic algorithm / Mohd Radhi Fauzan Jamli and Ahmad Firdaus Ahmad Fadzil
Published 2024“…The proposed approach utilizes genetic algorithms to dynamically produce optimized timetables based on individual student needs, with real-time data scraping from 'iCRESS' ensuring the system stays up to date with the latest course information for accurate timetable generation. …”
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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…The first task is to introduce a new rough model for minimum reduct selection and default rules generation, which is known as a Twofold Integer Programming (TIP). …”
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Parallel Processing of RSAAlgorithm Using MPI Library
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On An Improved Parallel Construction Of Suffix Arrays For Low Bandwidth Pc-Cluster.
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NEUCOMP2 - parallel neural network compiler
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Automated plant recognition system based on multi-objective parallel genetic algorithm and neural network
Published 2014“…First, the best set of structures for feed forward neural network were found by multi objective parallel genetic algorithm. This approach regarded three criteria involving mean square error, Akaike information criterion and minimum description length to rate different feed forward neural network structures and to select the best set of them. …”
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Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…User is authorized to select and name any specified region from the image, and store the colour, brightness, size, and various kind of information together with the selected area as the individual characteristics for the particular region. …”
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Final Year Project / Dissertation / Thesis -
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Development of an automatics parallel parking system for nonholonomic mobile robot
Published 2011“…A PIC32MX360F512L microcontroller is used in order to generate the algorithm and control the movement of the mobile robot. …”
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Scaled parallel iterative method for finding real roots of nonlinear equations
Published 2021“…However, these schemes are highly dependent on the midpoints of each interval in generating successive intervals. In this study, we propose a scaling function on some Weierstrass-like parallel iterative methods such that the procedures are less dependent on the generated midpoints, hence allowing a more efficient search for the zeros while reducing the width of the intervals. …”
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Scaled parallel iterative method for finding real roots of nonlinear equations
Published 2021“…However, these schemes are highly dependent on the midpoints of each interval in generating successive intervals. In this study, we propose a scaling function on some Weierstrass-like parallel iterative methods such that the procedures are less dependent on the generated midpoints, hence allowing a more efficient search for the zeros while reducing the width of the intervals. …”
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A scheduling algorithm for WDM optical networks
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Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization
Published 2024“…The central challenge in Automatic Text Summarization (ATS) is efficiently generating machine-generated text summaries through optimization algorithms, a critical component for systems dealing with textual information processing. …”
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A test case generation framework based on UML statechart diagram
Published 2018“…Unfortunately, existing studies in this domain are not sufficiently comprehensive in describing the major processes of the automated test case generation. Furthermore, the algorithms used for test case generation are not provided or well described. …”
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Design and analysis of management platform based on financial big data
Published 2023“…In order to make financial big data generate business value and improve the information application level of financial management, aiming at the high error rate of current financial data classification system, this article adopts the fuzzy clustering algorithm to classify financial data automatically, and adopts the local outlier factor algorithm with neighborhood relation (NLOF) to detect abnormal data. …”
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Unified GPU Technique to Boost Confidentiality, Integrity and Trim Data Loss in Big Data Transmission
Published 2020“…It increases confidentiality and offers a backup for accidental data loss by combining the simplified data encryption standard (SDES) and an advanced pattern generation technique that uses a unique pattern generation table. …”
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