Search Results - (( program implementation selection algorithm ) OR ( code classification methods algorithm ))
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1
Using genetic algorithms to optimise land use suitability
Published 2012“…This selection implemented according to the percentage of progressing, comparison and replacing in GAs programming. …”
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Android Malware classification using static code analysis and Apriori algorithm improved with particle swarm optimization
Published 2014“…In this method, features were extracted from Android applications byte-code through static code analysis, selected and were used to train supervised classifiers. …”
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Proceeding Paper -
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Static code analysis of permission-based features for android malware classification using apriori algorithm with particle swarm optimization
Published 2015“…In this method, permission-based features were extracted from Android applications byte-code through static code analysis, selected and were used to train supervised classifiers. …”
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Chain coding and pre processing stages of handwritten character image file
Published 2010“…Each of the pre-processing stages and the chain coding process will be described in detail giving improvised algorithms, and examples of the processes on existing samples from the database shown. …”
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Crow Search Freeman Chain Code (CS-FCC) feature extraction algorithm for handwritten character recognition
Published 2023“…With so many algorithms developed to improve classification accuracy, interest in feature extraction in Handwritten Character Recognition (HCR) has increased. …”
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Whale Optimisation Freeman Chain Code (WO-FCC) extraction algorithm for handwritten character recognition
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Implementation of Color Filtering on FPGA
Published 2007“…Two band-pass-filter-like algorithms has been tested and implemented. The first is the single band-pass filter with threshold selected according to the International Commission on Illumination (CIE) values. …”
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Improving hand written digit recognition using hybrid feature selection algorithm
Published 2022“…The hybrid method was exemplified in a binary classification between digits ‘4’ and ‘9’ from a multiple features dataset. …”
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Final Year Project / Dissertation / Thesis -
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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“…Moreover, instead of concatenating feature vectors together and send to classifier, sparse coding and dictionary learning methods are used and instead of considering all features as one view (visual feature), K-SVD algorithm that is one of the famous algorithms for sparse representation is optimized and developed to multi-view model.The experimental results prove that the proposed methods has improved accuracy by 53.77% compared to concatenating features and classic K-SVD dictionary learning model as well.…”
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11
Cross-project software defect prediction
Published 2022“…Through this work, it was discovered the majority of the selected studies used machine learning techniques as classification algorithms, and 64% of the studies used the combination of Object-Oriented (OO) and Line of Code (LOC) metrics. …”
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An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding
Published 2020“…Performance of proposed methods surpass the classic bag of words algorithm for plant identification tasks.…”
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Implementation of color filtering on FPGA
Published 2007“…Two band-pass-filter-like algorithms has been tested and implemented. The first is the single band-pass filter with threshold selected according to the International Commission on Illumination (CIE) values. …”
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Phishing image spam classification research trends: Survey and open issues
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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Case Slicing Technique for Feature Selection
Published 2004“…All these approaches are implemented with RELIEF feature selection approach. …”
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Blood cell classification using deep learning
Published 2022“…The sole objective of the continuation of this project II is to define an efficient WBC classification model from scratch. The motivation was gotten from the literature review section where various researchers developed their own methods manually through experimenting such as ensemble methods, learning algorithms, combined methodologies, etc. …”
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Final Year Project / Dissertation / Thesis
