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1
Effects of Different Superpixel Algorithms on Interactive Segmentations
Published 2022“…Though employed as pre-processing step in many interactive segmentation algorithms, to date, no study has been conducted to assess the effects of such incorporations on the segmentation algorithms. …”
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2
Effects of Different Superpixel Algorithms on Interactive Segmentations
Published 2022“…Though employed as pre-processing step in many interactive segmentation algorithms, to date, no study has been conducted to assess the effects of such incorporations on the segmentation algorithms. …”
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3
Sizes of Superpixels and their Effect on Interactive Segmentation
Published 2021“…Despite the fact that it is used as a pre-processing step in many interactive segmentation algorithms, less studies had been conducted to assess the effects of the size of superpixels required by interactive segmentation algorithms to achieve an optimal result. …”
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Proceedings -
4
Sizes of Superpixels and their Effect on Interactive Segmentation
Published 2021“…Despite the fact that it is used as a pre-processing step in many interactive segmentation algorithms, less studies had been conducted to assess the effects of the size of superpixels required by interactive segmentation algorithms to achieve an optimal result. …”
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Proceeding -
5
User interface and interactivity design guidelines of algorithm visualization on mobile platform
Published 2019“…Algorithm Visualization (AV) is a pedagogical tool that can help learners to see the animation of the step-by-step process of an algorithm. …”
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Thesis -
6
Visualization Tool for Pathfinding Algorithms
Published 2023“…The tool's primary objective is to provide students with a visual representation of algorithmic processes, enabling them to grasp the underlying concepts more effectively. …”
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Final Year Project Report / IMRAD -
7
A Modified ACO-based Search Algorithm for Detecting Protein Functional Module From Protein Interaction Network
Published 2015“…The experimental result have proved that ACO-PFMDM have improved the overall performance of protein functional module detection. The search process of ACO-PFMDM has converged effectively compared to some state-of-art algorithms. …”
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Conference or Workshop Item -
8
Enhancing Harmony Search Metaheuristic Algorithm for Coverage Efficiency, Test Suite Reduction, and Running Time in Combinatorial Interaction Testing
Published 2025“…The effectiveness of these algorithms, also called metaheuristics, largely depends on the capabilities of their search techniques. …”
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9
A Hybrid ACO-Graph Entropy for Functional Modules Detection From Protein-Protein Interaction Network
Published 2018“…The experimental result have proved that ACO-PFMDM have improved the overall performance of protein functional module detection. The search process of ACO-PFMDM has converged effectively compared to some state-of-art algorithms. …”
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10
Decentralized Adaptive Pi With Adaptive Interaction Algorithm Of Wastewater Treatment Plant
Published 2014“…The Pi controller parameters are obtained by using simple updating algorithm developed based on adaptive interaction theory. …”
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11
An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications
Published 2015“…Through the information sharing of nodes in the interactive layer, the proposed IRFNFN can effectively reduce the number of required rule nodes and improve the overall performance of the network. …”
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12
Interaction effect of process parameters and Pd-electrocatalyst in formic acid electro-oxidation for fuel cell applications: Implementing supervised machine learning algorithms
Published 2023“…Carbon nanotubes; Electrocatalysts; Electrooxidation; Forestry; Formic acid; Gaussian distribution; Learning algorithms; Palladium; Parameter estimation; Regression analysis; Support vector machines; Formic acid electrooxidation; Fuel cell application; Gaussian kernel functions; Gaussian process regression; Interaction effect; Machine learning algorithms; Performance; Process parameters; Regression trees; Support vector machine regressions; Sensitivity analysis…”
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A comparative study of interactive segmentation with different number of strokes on complex images
Published 2020“…There was no evaluation of the effects on the number of strokes on this interactive segmentation. …”
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14
A Systematic Exploration of Mutation Space in a Hybridized Interactive Evolutionary Programming for Mobile Game Programming
Published 2014“…In this study, a systematic exploration of mutation space in interactive evolutionary programming was conducted to investigate the effects of the game synthesis process using different mutation rates. …”
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15
A Comparative Study of Interactive Segmentation with Different Number of Strokes on Complex Images
Published 2020“…There was no evaluation of the effects on the number of strokes on this interactive segmentation. …”
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16
Prime-based method for interactive mining of frequent patterns
Published 2010“…At first, a general architecture for interactive mining is proposed consisting of two isolated components: mining model and mining process. …”
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Thesis -
17
Combinatorial test suites generation strategy utilizing the whale optimization algorithm
Published 2020“…Complimentary to existing testing techniques (e.g. boundary value, equivalence partitioning, cause and effect graphing), combinatorial testing helps to detect faults caused by the faulty interaction between input parameters. …”
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18
Development of interactive application for classification of Artocarpus Species
Published 2020“…The aim of this research is to identify the classification of Artocarpus species by using interactive application and the effectiveness of the interactive application for classification of Artocarpus species. …”
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Undergraduate Final Project Report -
19
Sequence t-way test generation using the barnacles mating optimizer algorithm
Published 2021“…Many sampling strategies have been designed to ensure sufficient and good enough testing including equivalence partitioning, boundary value analysis, cause and effect graphing, interaction-based sampling and many more. …”
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Conference or Workshop Item -
20
Autism Spectrum Disorder Classification Using Deep Learning
Published 2021“…Finally, the effectiveness of the algorithm is evaluated based on the accuracy performance. …”
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