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CSC562: Information Retrieval and Searching Algorithms / College of Computing, Informatics and Media
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CSC742 - Storage and Retrieval Algorithms / College of Computing, Informatics and Media
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CSC742: Storage and Retrieval Algorithms / College of Computing, Informatics and Mathematics
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A PSO inspired asynchronous cooperative distributed hyper-heuristic for course timetabling problems
Published 2017“…The performances of the proposed cooperative hyper-heuristics are evaluated using the standard course timetabling benchmark problem. …”
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Evaluation of genetic algorithm based solar tracking system for photovoltaic panels
Published 2008“…In this paper, a genetic algorithm (GA) has been proposed utilizing sun tracking approaches to maximize the performance of PV panels. …”
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Conference or Workshop Item -
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Enhanced simulated annealing for solving aggregate production planning
Published 2016“…Since this algorithm works sequentially then the current state will generate only one in next state that will make the search slower and the drawback is that the search may fall in local minimum which represents the best solution in only part of the solution space. …”
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Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques
Published 2018“…Two classification methods, Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were used in order to investigate the performance of classification accuracy for this E-nose system. …”
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Determination of permeability characteristics of solid/liquid separation using simplex algorithm
Published 2013“…(iii) The optimum values of α1 and are searched by fitting theoretical time course of constant-pressure expression with experimental expression data by algorithm of simplex method. …”
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Proceeding Paper -
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Defect Detection And Classification Of Silicon Solar Wafer Featuring Nir Imaging And Improved Niblack Segmentation
Published 2016“…Meanwhile, a set of descriptors corresponding to Elliptic Fourier Features shape description is extracted for each defect and is evaluated for each cluster to use for clustering and classification part. The classification combines the analysis of defect intensity features, the application of unsupervised k-mean clustering and multi-class SVM algorithms. …”
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Thesis -
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The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach
“…A variation of k-NN algorithms were tested based on the number of neighbours, as well as the weight and the type of distance metric used. …”
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