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On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing
Published 2015“…In doing so, this paper reviews two existing parameter free optimization algorithms involving Teaching Learning Based Optimization (TLBO) and Fruitfly Optimization Algorithm (FOA) in an effort to promote their adoption for CIT.…”
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Article -
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Enhancing generality of meta-heuristic algorithms through adaptive selection and hybridization
Published 2018“…Many meta-heuristic algorithms have been developed to date (e.g. Simulated Annealing (SA), Particle Swarm Optimization (PSO), Teaching Learning based Optimization (TLBO), Grey Wolf Optimizer(GWO) to name a few). …”
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Conference or Workshop Item -
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Integrating of web 2.0 technologies for interactive courseware : data structure and algorithm as case study
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Final Year Project Report / IMRAD -
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DSC762: Seminar and Industry Engagement / College of Computing, Informatics and Mathematics
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Teaching Resource -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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SMALL-SCALE PRIMARY SCHOOL TIMETABLING PROBLEM
Published 2019“…Only one subject from standard one to standard six without any repeated teacher is sorted into a same group, except for the case of combining classes. Period allocation is the second phase of this algorithm. …”
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Final Year Project Report / IMRAD -
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
Published 2020“…Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems. …”
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Modeling Teacher's Integrity Using Data Mining
Published 2010“…Thus, the aim of this study is to develop a model for teacher's integrity using data mining technique. …”
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Thesis -
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Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…As a learning method, the combination of Reinforcement Learning and a Recurrent Neural Network (RNN) was applied. The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. …”
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Thesis -
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Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…As a learning method, the combination of Reinforcement Learning and a Recurrent Neural Network (RNN) was applied. The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. …”
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Thesis -
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Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…As a learning method, the combination of Reinforcement Learning and a Recurrent Neural Network (RNN) was applied. The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. …”
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Undergraduates Project Papers -
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Content-based indexing of low resolution documents
Published 2016“…A new algorithm that can be used with integrated visual signatures, especially in late fusion query was introduced. …”
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Thesis -
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