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Implementation of Grid Computing for Cryptosystem (RSA)
Published 2005“…Lastly the project has the objective to deploy and a grid computing facility that will beuse as a test bed for RSA algorithm Methodology used for the development is Rapid Application Development (RAD) as it will allow for fast development with a series of testing and prototyping. …”
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Final Year Project -
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Adaptive resource allocation for reliable performance in heterogeneous distributed systems.
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Book Section -
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A security payment model for financial payment using mykad
Published 2011“…A system with security technique named Arbitrary Random Security Algorithm (ARSA) and a one-to-one multithreading model need to be developed in order to accelerate the authentication response time of MPM. …”
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Thesis -
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Fpga-Based Accelerator For The Identification Of Finger Vein Pattern Via K-Nearest Centroid Neighbors
Published 2016“…As almost all finger vein recognition algorithms were implemented using software such as MATLAB which is based on general-purpose processor, the processing speed become the bottleneck of the development of finger vein recognition. …”
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Thesis -
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GPU accelerated stereo vision system to capture handwriting information
Published 2019“…This is done by porting and optimizing essential processing algorithms to operate efficiently in parallel on a GPU. …”
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Article -
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Toward Quantum-Resilient PKI: A Systematic Literature Review of Post-Quantum Certificates Model
Published 2026journal::journal article -
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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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Critical insight for MAPReduce optimization in Hadoop
Published 2014“…The predominant philosophy behind Hadoop optimization is the optimization of MapReduce, which is a dominant programming platform effective in bringing a=bout many functional enhancements as per scheduling algorithms developed and implemented. MapReduce has emerged as the most significant part of Hadoop system that establishes itself as a framework that can effectively simplify the overall complexity of running parallel data processes across the network of computing nodes. …”
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Article -
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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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