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Nonlinear analysis of shell structures using image processing and machine learning
Published 2023“…<p dir="ltr">In this paper, we propose a novel approach to solve nonlinear stress analysis problems in shell structures using an image processing technique. In general, such problems in design optimisation or virtual reality applications must be solved repetitively in a short period using direct methods such as nonlinear finite element analysis. …”
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Combining and adapting software quality predictive models by genetic algorithms
Published 2017Get full text
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AN INTERVAL KALMAN FILTER, INTERVAL EM ALGORITHM WITH APPLICATION TO WEATHER PREDICTION
Published 2020Get full text
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Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction
Published 2025“…It is noted that spatial relationships within molecules are crucial in predicting hERG blockers. While the threshold for blockers is defined as ≤10 μ M and for non-blockers, it is >10 μ M, our analysis indicates that a threshold of 60- 80 μ M provides a more accurate cut-off for non-blockers. …”
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CNN and HEVC Video Coding Features for Static Video Summarization
Published 2022Get full text
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Socially Motivated Approach to Simulate Negotiation Process
Published 2014Get full text
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Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms
Published 2023“…Our study aimed to use data mining classification techniques, in order to classify the individual into two categories: user or non-user. Eighteen classification models were built using different classification algorithms such as Gaussian Naive Bais, Logistic Regression, k-nearest neighbors, Random Forest, and Decision Tree. …”
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Use-Case Based Early Software Effort Prediction using Fuzzy Logic and Genetic Algorithms
Published 2020Get full text
masterThesis -
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Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic
Published 2025“…This study aimed to utilise an extensive dataset, which included the period of the COVID-19 pandemic, in a modern Middle Eastern Emergency Medical Service to comprehend and predict the behaviour of non-transport decisions, a major multi-variable factor in pre-hospital emergency medicine. …”
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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
Published 2024“…Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …”
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Automatic Video Summarization Using HEVC and CNN Features
Published 2022Get full text
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An improved kernelization algorithm for r-Set Packing
Published 2010Get full text
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LNCRI: Long Non-Coding RNA Identifier in Multiple Species
Published 2021“…<p>The pervasive nature of long non-coding RNA (lncRNA) transcription in the mammalian genomes has changed our protein-centric view of genomes. …”