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Improved Boosting Algorithms by Pre-Pruning and Associative Rule Mining on Decision Trees for predicting Obstructive Sleep Apnea
Published 2017“…Better predictive accuracies were achieved in all the applied datasets/databases when comparing the classical algorithm, i.e. Boosted DT, with the improved one, i.e. …”
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An Improved C4.5 Data Mining Driven Algorithm for the Diagnosis of Coronary Artery Disease
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Improved Boosted Decision Tree Algorithms by Adaptive Apriori and Post-Pruning for Predicting Obstructive Sleep Apnea
Published 2018“…After comparing and contrasting this developed algorithm with the algorithm without being augmented by AA, i.e., Boosted post-Pruned Decision Tree (Boosted poP-DT), and the classical boosted decision tree algorithm, i.e., Boosted DT, there is a stepwise improvement shown when comparison proceeds from Boosted DT to Boosted poP-DT and to Boosted AApoP-DT.…”
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Adaptive genetic algorithm to improve negotiation process by agents e-commerce
Published 2011“…The first contribution is to improve the decision policy of e-CN negotiation model using Aspiration concept. …”
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Thesis -
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Enhance key generation algorithm based user string identity as public key
Published 2015“…Only odd decimal values can be used in a public key using the Tripathi algorithm. Therefore, the Tripathi algorithm needs to be improved so that all E-mail addresses can be used as public keys. …”
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Development of improved metaheuristic algorithms for modelling and control of a flexible manipulator system
Published 2019“…It is found that all the developed algorithms have competitive accuracy performance compared to other state of the art algorithms i.e NSGA2, SCA, Sine-Cosine algorithms. …”
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Research Report -
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Comprehensive review of the development of the harmony search algorithm and its applications
Published 2019“…This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm and its applications. …”
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Hybrid particle swarm optimization algorithm with fine tuning operators
Published 2009“…From several comparative analyses, it is clearly seen that the performance of all the three PSO algorithms (pf-PSO, ePSO, and hybrid PSO) is considerably improved with various fine tuning operators and sometimes more competitive than the recently developed PSO algorithms.…”
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Improvement and application of particle swarm optimization algorithm
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Development of a Prediction Algorithm using Boosted Decision Trees for Earlier Diagnoses on Obstructive Sleep Apnea
Published 2018“…This is to ensure the generalized performance, flexible strengths and robustness of the OSA prediction system developed. Research outputs showed that there is a significant prediction improvement of the algorithms and system developed based on all types of datasets being accessed against the classical boosting approaches on the same datasets. …”
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Thesis -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Enhancing Harmony Search Metaheuristic Algorithm for Coverage Efficiency, Test Suite Reduction, and Running Time in Combinatorial Interaction Testing
Published 2025“…Optimization has developed powerful algorithms for solving complex problems efficiently. …”
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Enhanced segment particle swarm optimization for large-scale kinetic parameter estimation of escherichia coli network model
Published 2021“…Additionally, the study proposed an Enhance Se-PSO algorithm to improve the linear value of inertia weight…”
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Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri
Published 2020“…Enhancements could also be done to eGSA by exploring the possibility to hybrid the algorithm with other well-known meta heuristic algorithms.…”
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Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive
Published 2023Conference Paper -
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An estimation algorithm for improved maritime obstacle detection
Published 2024“…This paper presents an advanced estimation algorithm for improving obstacle detection in maritime navigation by integrating data from Velodyne LiDAR HDL-32E and a ZED2I depth camera on the Riptide Unmanned Surface Vehicle. …”
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Proceeding Paper
