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Voting algorithms for large scale fault-tolerant systems
Published 2011“…In a nut shell, we tried to introduce voting algorithms and structures suitable for large scale fault-tolerant systems which have optimal and proper time complexity (in parallel voting algorithms) and more reliability and availability (in enhanced m-out-of-n voting algorithm) compared to the basic types.…”
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CSC099: Foundation Computing II / Centre of Foundation Studies
Published 2022“…This course introduces basic computer programming algorithm, problem solving, structured programming language, selection structure, repetition structure, function and array. …”
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Teaching Resource -
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Algorithmic implementation to achieve high speed mathematical addition on Silicon for 128 bits and larger
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Working Paper -
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Memoryless modified symmetric rank-one method for large-scale unconstrained optimization
Published 2009“…In this study, we present a scaled memoryless modified Symmetric Rank-One (SR1) algorithm and investigate the numerical performance of the proposed algorithm for solving large-scale unconstrained optimization problems. …”
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Improving resource management with multi-instance broker scheduling algorithm in hierarchical grid computing
Published 2016“…The designed modules is in the form of algorithms, GridSim, Java Development Kits and Java Language used to support the design process whereas the Netbeans software serves as the platform to simulate the experiment so as to obtain the results. …”
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Nomadic people optimizer (NPO) for large-scale optimization problems
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SANAsms: Secure short messaging system for secure GSM mobile communication
Published 2008“…The system is developed using Java 2 Micro Edition (J2ME) which is written in Java. …”
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Conference or Workshop Item -
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Towards large scale unconstrained optimization
Published 2007“…However, today an unconstrained problem with 400 or more variables is usually considered a large scale problem. The main difficulty in dealing with large scale problems is the fact that effective algorithms for small scale problems do not necessarily translate into efficient algorithms when applied to solve large scale problems. …”
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Inaugural Lecture -
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…On the Construction phase, the development of the prototype has been started. All the algorithm for the engine has been developed by using Java script language. …”
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XRecursive, An Efficient Relational Method to Store XML Data
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Comparative study on job scheduling using priority rule and machine learning
Published 2021“…Cloud computing is a potential technique for running resource-intensive applications on a wide scale. …”
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Conference or Workshop Item -
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Face Detection System / Chan Beh Teng
Published 2004“…To a layman, it may appear trivial, but to actually implement the necessary steps leading to successful execution of this in n algorithm is difficult and still an unsolved problem in computer vision.The proposed Face Detection System is an application that automates the detection of frontal human faces(s) in a given image. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods
Published 2014“…Third, the range which is defined as left or right is used for gesture recognition. Lastly, the basic transformation such as rotation, translation and scale is executed if a data motion lies within the range. …”
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Academic Exercise -
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Power System State Estimation In Large-Scale Networks
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Fingerprint reconstruction based on improved directional image
Published 2005“…This thesis presents a fingerprint image reconstruction algorithm using Directional Fourier filtering. Prior to the image reconstruction, a directional image is first computed using Mehtre technique and followed by a 3-tier enhancement processes viz. …”
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Cars detection in stitched image using morphological approach
Published 2017“…The method is improved by using algorithm which removes noise by sizes. The methods integrate with bounding box to count the number of the cars. …”
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Final Year Project Report / IMRAD -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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