Search Results - (( developing composition based algorithm ) OR ( java implication from algorithm ))
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Enhancement of Single and Composite Images Based on Contourlet Transform Approach
Published 2009“…Image enhancement is an imperative step in almost every image processing algorithms. Numerous image enhancement algorithms have been developed for gray scale images despite their absence in many applications lately. …”
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Thesis -
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Inelastic analysis of composite sections
Published 2004“…This paper describes the development of a numerical algorithm used for the inelastic analysis of composite sections subjected to combined axial force and bending moment. …”
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Real-time algorithmic music composition application.
Published 2022“…The developed system shall be able generated music based on a genetic algorithm, where users can define basic parameters including the instrument used to play the music, tempo, number of generated notes, and the number of measures to generate. …”
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Final Year Project / Dissertation / Thesis -
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Application of genetic algorithm and JFugue in an evolutionary music generator
Published 2025“…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
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Final Year Project / Dissertation / Thesis -
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Development Of An Intelligent System For River Water Quality Classification Based On Algae Composition
Published 2006“…In this project, several neural networks will be developed and their performance are compared to yield the most suitable network that will be used to model the classification system for determination of river water quality based on algae composition. …”
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NN-Based FECG extraction from the composite abdominal ECG
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Proceeding Paper -
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Progressive failure analysis of composite laminated stiffened plates using the finite strip method
Published 2009“…A progressive failure algorithm for composite laminates has been successfully developed for the new finite strip methods using a stress-based failure criterion, Tsai–Wu. …”
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Progressive damage analysis of composite layered plates using a mesh reduction method
Published 2006“…A progressive damage methodology and algorithm for composite laminates was successfully developed for the new finite strip methods using stress-based failure criteria. …”
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Conference or Workshop Item -
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Non-velocity based analysis of passive ultrasonic signal for source location detection in composite plates: a pilot study
Published 2012“…A linear source location algorithm utilizing AE signals energy attenuation patterns was developed and tested for the composite specimen. …”
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DEVELOPMENT OF COMPOSITIONAL MODEL FOR PREDICTING VISCOSITY OF CRUDE OILS USING POLYNOMIAL NEURAL NETWORKS (PNN) INDUCED BY GROUP METHOD OF DATA HANDLING (GMDH)
Published 2011“…Throughout the years, although many of the common correlations were developed, laboratory measurements still cannot be replaced due to the complexities, varied composition and reservoir characteristics difference from different reservoirs. …”
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Final Year Project -
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Composite slab numerical strength test method under partial connection approach
Published 2017“…The strength test performance between the developed scheme and the experiment-based test results indicates high similarity, demonstrating the viability of the proposed strength determination methodology developed.…”
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A modified strength capacity for composite slab using reliability approach
Published 2016“…Similarly, a procedural algorithm lead to the development of pro_led composite slab strength determination function for both longitudinal shear estimation methods by considering section slenderness and deck characteristics. …”
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Thesis -
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Java based expert system for selection of natural fibre composite materials
Published 2013“…In this paper, we develop a technology for the materials selection system using Java based expert system. …”
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Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool
Published 2019“…This final year project identified relevant parameters through literature research, analysis and expert interview, and evaluated different machine learning algorithms and identified linear regression as the most applicable and efficient with its R-square of 0.8015, qualifying it to be used for the development of a hybrid model for the AI-based tool for predictive process optimization for chemical plants.…”
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Final Year Project -
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Development of a predictive model for estimating the specific heat capacity of metallic oxides/ethylene glycol-based nanofluids using support vector regression
Published 2019“…So far, two correlations have been developed to estimate the The accuracies of these models are still subject to further improvement for many nanofluid compositions. …”
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