Search Results - (( developing classification colony algorithm ) OR ( java implication based algorithm ))
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Predicting attackers of online shaming using ant colony optimization / Noor Shafiqa Fazlien Mohamad Fauzi
Published 2020“…This study implemented Ant Colony Optimization Algorithm to develop classification rules for predicting the attackers of online shaming. …”
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Ant colony optimization algorithm for rule based classification: Issues and potential
Published 2018“…Furthermore, this review can be used as a source of reference to other researchers in developing new ACO algorithms for rule classification.…”
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Predicting breast cancer using ant colony optimisation / Siti Sarah Aqilah Che Ani
Published 2021“…This study implements a machine learning algorithm called Ant Colony Optimization (ACO) algorithm to develop an accurate classification model for predicting breast cancer cells. …”
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An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…Various classification algorithms have been developed to produce classification models with high accuracy. …”
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Predicting bankruptcy using ant colony optimization / Nur Syafiqah Abdul Ghani
Published 2021“…This study also has shown that Ant Colony Optimization was a suitable technique in developing the classification model.…”
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Gender classification on skeletal remains: efficiency of metaheuristic algorithm method and optimized back propagation neural network
Published 2020“…Thus, this paper proposed metaheuristic algorithms such as Particle Swarm Optimization, Ant Colony Algorithm and Harmony Search Algorithm based feature selection to identify the most significant features of skeleton remains. …”
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Predicting autistic spectrum disorder for toddler using ant colony optimization / Nur Ibtisyam Zafri
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Early diabetes risk prediction using Ant Colony Optimization algorithm / Nur Aisyatul Husna Ahmad Yusri and Rizauddin Saian
Published 2023“…Therefore, this study has developed a classification model for predicting early diabetes risk using an Ant Colony Optimization (ACO) algorithm. …”
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Aco-based feature selection algorithm for classification
Published 2022“…The modified graph clustering ant colony optimisation (MGCACO) algorithm is an effective FS method that was developed based on grouping the highly correlated features. …”
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10
Rapid bacterial colony classification using deep learning
Published 2022“…Therefore, medical diagnoses require fast identification and classification of organisms. Artificial Intelligence with deep learning (DL) can now be developed as a rapid bacterial classification. …”
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Predicting heart disease using ant colony optimization / Siti Aisyah Ismail
Published 2021“…The aim of this study is to develop a classification model for predicting heart disease. …”
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Lexicon-based and immune system based learning methods in Twitter sentiment analysis
Published 2016“…The aim of this article attempts to study the potential of this method in text classification for sentiment analysis.This study consists of three phases; data preparation; classification model development using three selected Immune System based algorithms i.e. …”
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Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection
Published 2022“…The first modification enhances the initial population of the MBGWO using a heuristic based Ant Colony Optimisation algorithm. The second modification develops a new position update mechanism using the Bat Algorithm movement. …”
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Face recognition using PZMI, ANN and Ant colony algorithms / Milad Miri
Published 2018“…Algorithms developed for face recognition are tightly related to the rate of extracted face features. …”
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SVM for network anomaly detection using ACO feature subset
Published 2016“…But irrelevant and redundant features are the obstacle for classification algorithm to build an efficient detection model. …”
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Ant colony optimization for vehicle traffic systems: applications and challenges
Published 2014“…Ant-based algorithms simulate the cooperative behaviour of real ants in finding food resources. …”
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Ant colony optimization based subset feature selection in speech processing: Constructing graphs with degree sequences
Published 2024journal::journal article -
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A survey : particle swarm optimization-based algorithms for grid computing scheduling systems.
Published 2013“…However, to achieve optimum performance, new models and techniques for PSO need to be developed. This study surveys PSObased scheduling algorithms for Grid systems and presents a classification for the various approaches adopted. …”
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Information Theoretic-based Feature Selection for Machine Learning
Published 2018“…Thus, this thesis precisely developed and evaluated IFS_BACS (Binary Ant Colony System) hybrid method. …”
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