Search Results - (( developing nation classification algorithm ) OR ( java data optimization algorithm ))
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Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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Undergraduates Project Papers -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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Article -
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Sentiment analysis on national cultural tourism using Linear Support Vector Machine (LSVM) / Nur Haida Hanna Samsuddin
Published 2020“…Therefore, the chosen technique is classification and the algorithm that will be applied in the classification process is Linear Support Vector Machines (LSVM). …”
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Thesis -
4
A random search based effective algorithm for pairwise test data generation
Published 2011“…This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. …”
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Conference or Workshop Item -
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Poverty Classification of Central Perak Population Using Machine Learning
Published 2019“…The picture of Central Perak development reveals many families are not benefiting from national economic growth. …”
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Final Year Project -
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Scalable approach for mining association rules from structured XML data
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Conference or Workshop Item -
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EasyA: Easy and effective way to generate pairwise test data
Published 2013“…This paper proposes a matrix based calculation for pairwise test data generation algorithm named EasyA to optimize the number of test cases. …”
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Conference or Workshop Item -
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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Thesis -
9
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Thesis -
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Classification of imbalanced travel mode choice to work data using adjustable svm model
Published 2021“…This study deals with imbalanced mode choice data by developing an algorithm (SVMAK) based on a support vector machine model and the theory of adjusting kernel scaling. …”
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Article -
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Improved Artificial Neural Network Classification Model based Metaheuristic Optimization for Handwritten Character Recognition
Published 2024“…This study addresses the concerns regarding the performance of Handwritten Character Recognition (HCR) systems, focusing on the classification stage. It is widely acknowledged that the development of the classification model significantly impacts the overall performance of HCR. …”
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Article -
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Classification of cervical cancer using random forest
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Conference or Workshop Item -
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Leaf classification on Flavia dataset: A detailed review
Published 2023“…The plant resources are necessary for the survival of the world's nations The purpose of this paper is to examine the frequently utilized and publicly accessible dataset for plant classification in the past. …”
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Article -
15
Poverty Classification in Indonesia Using BiGRU, BPNN, and Stacking AdaBoost Frameworks
Published 2024“…This research addresses the persistent global challenge of poverty, with a specific focus on Indonesia, a nation with a population exceeding 270 million. The primary objective is to enhance the precision and reliability of poverty classification using advanced machine learning technologies. …”
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Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using k-Nearest Neighbour (k-NN)
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Conference or Workshop Item -
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Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization
Published 2021“…The findings of this study will provide a basis for developing an online ML-based population-specific risk scoring calculator.…”
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Article -
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A modified single-stacked ensemble framework for prognostic analysis of leukemia relapse
Published 2026“…This study contributes to explainable AI in hematology, supports clinical decision-making, enhances patient care, and aligns with United Nations Sustainable Development Goal 3 (Good Health and Well-Being).…”
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Book Chapter -
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