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SANAsms: Secure short messaging system for secure GSM mobile communication
Published 2008“…J2ME phone and Symbian Operating System (OS) as the platform for the application to run. The encryption algorithm that implemented in the system is Advanced Encryption Standard (AES) with 128-bit block size and together with the SHA1 (Secure Hash Algorithm) hash functions. …”
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Conference or Workshop Item -
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Visdom: Smart guide robot for visually impaired people
Published 2025“…Key features include the SMAC Hybrid A* algorithm for global path planning, the Regulated Pure Pursuit Controller for local trajectory execution and dynamic obstacle avoidance, and gmapping for SLAM functionality. …”
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Final Year Project / Dissertation / Thesis -
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Design of Improved Stream Cipher Algorithms for GSM Communication
Published 2024thesis::master thesis -
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A survey of energy-aware real time scheduling tools
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Conference or Workshop Item -
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Mobile Vision-based Automatic Counting of Bacteria Colonies
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Article -
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Secure E-Voting With Blind Signature
Published 2003“…E-Voting is implemented by employing Java socket technology and BouncyCastle cryptography provider. …”
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Conference or Workshop Item -
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A block cipher based on genetic algorithm
Published 2016“…The development of block ciphers have resulted in a number of cryptographic algorithms such as, AES, ARIA, BLOWFISH256, DESL, 3D-AES and many more. …”
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Thesis -
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Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The rise of technology and the Internet has changed how people communicate in society and virtual counselling development since the 1970s. …”
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Academic Exercise -
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Classroom finder system with student availability, space and time constraint
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Final Year Project / Dissertation / Thesis -
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Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive
Published 2023Conference Paper -
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Computing the autopilot control algorithm using predictive functional control for unstable model
Published 2009“…This paper discusses the computing development of a control algorithm using Predictive Functional Control (PFC) for model-based that having one or more unstable poles. …”
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Conference or Workshop Item -
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Effort Estimation Model for Function Point Measurement
Published 2007“…Software Cost Estimation is a practical process that is applied to find out basically the effort and development time requirements for a software product, which is going to be developed. …”
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Thesis -
15
Chebyshev approximation of discrete polynomials and splines
Published 2004“…The output of the algorithm is a set of extreme points that can be used to construct a minimal error approximation function. …”
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Thesis -
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Chebyshev approximation of discrete polynomials and splines
Published 2004“…The output of the algorithm is a set of extreme points that can be used to construct a minimal error approximation function. …”
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A video-rate color image segmentation using adaptive and statistical membership function
Published 2010“…Typically, the image segmentation algorithms in video processing system require very high computation power, so it is desirable to develop algorithms for implementation as a real-time system. …”
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Article -
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A genetic algorithm based approach for economic dispatch in power system / Mohd Rozely Kalil
Published 1998“…The Genetic Algorithm developed in the project was tested on two objective functions for optimizing the economic dispatch problem, which are the total generation cost and the incremental cost function. …”
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A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy
Published 2022“…These basic indicators can comprehensively and effectively reflect a country’s or region’s future economic development. …”
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Article -
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Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function
Published 2019“…The optimisation technique consists of exact algorithm, and approximate algorithm. The approximate algorithm is a good technique to be highlighted since it is a feasible way to develop an easier, more convenient curve fitting method, that will save great computation, solve a large scale problem and produce a better quality end result. …”
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