Search Results - (( evolution activation detection algorithm ) OR ( code application optimisation algorithm ))
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A Detection Method for Text Steganalysis Using Evolution Algorithm (EA) Approach
Published 2012“…Therefore, this research employed a detection factor based on the evolution algorithm method for text steganalysis. …”
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PID controller design for a twin rotor MIMO system using real coded GA optimisation
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Development of a scalable video compression algorithm
Published 2012“…It is known that conventional video coding systems encode video content with given bitrates adapted to a specific function or application. …”
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Proceeding Paper -
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Segmentation of Retinal Vasculature using Active Contour Models (Snakes)
Published 2009“…Active contour model (snake) that based on level sets, techniques of curve evolution, and Mumford-Shah functional for segmentation is then used to segment out the detected retinal vessel and produce a complete retinal vasculature. …”
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Codebook excited linear predictive coding
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Book Chapter -
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Development of CAD/CAM System for Cold Working Closed Die Forging Process
Published 2000“…In the second stage, a finite element analysis and optimisation algorithm was developed to examine the die fatigue life and to optimise the die design. …”
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Artificial immune network model based controller for vibration suppression of flexible structures
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Proceeding Paper -
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Implementing Station-to-Station protocol using Multi Prime RSA Cryptosystem / Muhammad Arif Musa Abdullah
Published 2023“…The study recommends to use another type of digital signature algorithm to be used in the proposed method. Another recommendation is to modify and optimise the python coding in the study to be more robust and suitable for real world application.…”
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Student Project -
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An Analysis Of System Calls Using J48 And JRip For Malware Detection
Published 2018“…The evolution of malware possesses serious threat ever since the concept of malware took root in the technology industry.The malicious software which is specifically designed to disrupt,damage,or gain authorized access to a computer system has made a lot of researchers try to develop a new and better technique to detect malware but it is still inaccurate in distinguishing the malware activities and ineffective.To solve the problem,this paper proposed the integrated machine learning methods consist of J48 and JRip in detecting the malware accurately.The integrated classifier algorithm applied to examine,classify and generate rules of the pattern and program behaviour of system call information.The outcome then revealed the integrated classifier of J48 and JRip outperforming the other classifier with 100% detection of attack rate. …”
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An Analysis Of System Calls Using J48 And JRip For Malware Detection
Published 2018“…The malicious software which is specifically designed to disrupt, damage, or gain authorized access to a computer system has made a lot of researchers try to develop a new and better technique to detect malware but it is still inaccurate in distinguishing the malware activities and ineffective. …”
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Towards Maximising Hardware Resources and Design Efficiency via High-Speed Implementation of HMAC based on SHA-256 Design
Published 2024“…This article analyses a fast implementation of the Hash-based Message Authentication Code (HMAC), which uses its algorithm to ensure the validity and integrity of data to optimise hardware efficiency and design efficacy using the SHA-256 algorithm. …”
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Towards Maximising Hardware Resources and Design Efficiency via High-Speed Implementation of HMAC based on SHA-256 Design
Published 2024“…This article analyses a fast implementation of the Hash-based Message Authentication Code (HMAC), which uses its algorithm to ensure the validity and integrity of data to optimise hardware efficiency and design efficacy using the SHA-256 algorithm. …”
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
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BinDCT Design and Implementation on FPGA with Low Power Architecture
Published 2008“…Its performances in term of Peak Signal-to-Noise (PSNR), compression ratio and coding gain is proved to be best approximation to the DCT algorithm. …”
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