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1
Analysis of Strength on Thick Plate Part using Genetic Algorithm Optimisation Method
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2
Particle Swarm Optimisation with Improved Learning Strategy
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3
Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm
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4
Multi-population Genetic Algorithm for Rich Vehicle Routing Problems
Published 2020“…However, genetic algorithm is stochastic in nature and does not guarantee optimal solution in an application all the time, a problem referred to as premature convergence in literature. …”
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Final Year Project -
5
An Automated System For Classifying Conference Papers
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Final Year Project / Dissertation / Thesis -
6
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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7
K-gen phishguard: an ensemble approach for phishing detection with k-means and genetic algorithm
Published 2025“…In the first phase, the best set of features is identified by the Genetic algorithm and is utilised by the K-means clustering algorithm to divide the dataset into groups with similar traits. …”
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8
Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm
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9
Impact of low-dose protocols on computed tomography of lung cancer screening on the intrinsic performance metrics: a phantom study
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10
Three-dimensional structure of Human Epididymis Protein 4 (HE4): a protein modelling of an ovarian cancer biomarker through in silico approach
Published 2024“…These three servers em-ployed deep learning algorithms, threading templates, and de novomethods, respec-tively. …”
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11
Characterization of miR-3099-mediated posttranscriptional of target genes regulation during neurogenesis in mice
Published 2019“…In 2011, miR-3099 was found to be expressed as early as in the blastocyst stage, in which the expression was maintained until the developing E11.5 mouse brain. The expression of miR-3099 was further restricted to the cortical plate of the developing mouse brain between E13.5 and E17.5, coinciding with the time that the majority of the cells are committed to neuronal cell lineage. …”
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Thesis
