Search Results - (( basic optimization based algorithm ) OR ( automatic classification matching algorithm ))
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Automatic email classification system / Phang Siew Ting
Published 2003“…Automatic Email Classification System is an email reader tool that implements machine learning algorithm in email classification, manipulated by a Graphical User Interface. …”
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Trademark image classification approaches using neural network and rough set theory
Published 2003“…The critical step in automatic trademark matching is to extract trademark features from the database automatically and reliably. …”
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Feature-based face recognition system using utilized artificial neural network
Published 2010“…The main contributions of this project are the automatic algorithms for mouth detection, facial features cropping and face classification. …”
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A comparative study in classification techniques for unsupervised record linkage model
Published 2011“…In order to utilize the supervised classification algorithms without consuming a lot of time for labeling data manually, a two step method which selects the training data automatically has been proposed in previous studies. …”
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Optimal power flow based on fuzzy linear programming and modified Jaya algorithms
Published 2017“…In the proposed novel QOJaya algorithm, an intelligence strategy, namely, quasi-oppositional based learning (QOBL) is incorporated into the basic Jaya algorithm to enhance its convergence speed and solution optimality. …”
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Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems
Published 2022“…The performance of the fuzzy adaptive teaching learning-based optimization is evaluated against other metaheuristic algorithms including basic teaching learning-based optimization on 23 unconstrained global test functions. …”
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Stage of maturity banana fruit classification using image processing / Nadia Kasim ... [et al.]
Published 2019“…The system showed 88.89% accuracy classification by comparing the result yield by the system with results offered by the experts. …”
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Optimized image enhancement of colour processing for retinal fundus image
Published 2025“…This study introduces two novel techniques designed to overcome the limitations of existing algorithms. Firstly, a new colour correction algorithm named Fuzzy Tuned Brightness Controlled Single-Scale Retinex Histogram Matching (fTBCSSRhm) is proposed to address the issue of colour inconsistency in the dataset. …”
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Optimized image enhancement of colour processing for retinal fundus image
Published 2025“…This study introduces two novel techniques designed to overcome the limitations of existing algorithms. Firstly, a new colour correction algorithm named Fuzzy Tuned Brightness Controlled Single-Scale Retinex Histogram Matching (fTBCSSRhm) is proposed to address the issue of colour inconsistency in the dataset. …”
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A Comparative of Two-Dimensional Statistical Moment Invariants Features in Formulating an Automated Probabilistic Machine Learning Identification Algorithm for Forensic Application
Published 2023“…Moreover, the proposed identification algorithm is also tested in different scenarios, including based on the classification of strength association measurements between the extracted feature sets. …”
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Fingerprint feature extraction based discrete cosine transformation (DCT)
Published 2009“…It is impossible that two people have the same fingerprint. Automatics identification of humans based on fingerprint requires the input fingerprint to be match with a large number of fingerprints in the database. …”
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Feature extraction for face recognition via Active Shape Model (ASM) and Active Appearance Model (AAM)
Published 2018“…Biometric is a pattern recognition system which is used for automatic recognition of persons based on characteristics and features of an individual. …”
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Document clustering based on inverse document frequency measure
Published 2005“…Automatic classification techniques are capable of providing the necessary information organization by arranging the retrieved data into groups of documents with common subjects. …”
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COMPUTER AIDED SYSTEM FOR BREAST CANCER DIAGNOSIS USING CURVELET TRANSFORM
Published 2011“…An automatic thresholding algorithm was used to separate the area composed of the breast and the pectoral muscle from the background of the image. …”
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A hybrid algorithm based on artificial bee colony and artificial rabbits optimization for solving economic dispatch problem
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Voting algorithms for large scale fault-tolerant systems
Published 2011“…To solve this problem and gain benefits of this algorithm, we employed parallel algorithm technique and by using optimal number of processors, we could propose optimal algorithms known as Parallel Average Voting and Parallel Weighted Average Voting which both have optimal time complexity and less calculation cost. …”
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An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP
Published 2021“…Several variants of PSO have been proposed for solving discrete optimization problems like TSP. Among them, the basic algorithm is the Swap Sequence based PSO (SSPSO), however, it does not perform well in providing high quality solutions. …”
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