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Text messaging encryption system
Published 2012“…The only way to read the information is to know the method on how message is being masked,in this case knowing the algorithm used to encrypt the message. Nowadays,most encryption and decryption processes are done by the computer.The main objective of this project is to build a text encryption and decryption system that will run on a Java enabled mobile phones.Then,the mobile phones will be used as an external means to encrypt text messages.As mentioned earlier,not only computers can encrypt and decrypt text but mobile phones also can encrypt and decrypt text messages.The purpose of this research is to provide security for confidential information to be sent over mobile phones.At the moment there is no security for messages transmitted over mobile phones.Confidential information or instructions can only be safely passed on to the required parties by email or verbally in person.This delays time and efficiency of crucial business operations. …”
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Undergraduates Project Papers -
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Securing cloud data system (SCDS) for key exposure using AES algorithm
Published 2021“…The AES algorithm has its own structure to encrypt and decrypt sensitive data that make the attackers difficult to get the real data when encrypting by AES algorithm. …”
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Biometrics electronic purse
Published 1999“…A simple PIN code verlfication is no longer suflcient and would require a more complex and fools proof authentication method. A 56-bit DES encryption algorithm can easily be broken in just 2 to 3 days using the EFF DES CRACKER, an unclassified ASIC machine. …”
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Proceeding Paper -
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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique contains three approaches; first approach is string encryption. The string encryption is about adding a mathematical equation with arrays and loops to the strings in the code to hide the meaning. …”
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Parallel computation of maass cusp forms using mathematica
Published 2013“…We find that the parallel programming is about 5.75 times faster than the normal programming while its efficiency is capped at 0.443.…”
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Solving non-convex economic dispatch problem using computational intelligence technique
Published 2023Conference Paper -
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Logic Programming In Radial Basis Function Neural Networks
Published 2013“…Two techniques were developed. The first technique is to encode the logic programming in radial basis function neural networks. …”
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Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid.
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Smart energy meter with adaptive communication data transfer algorithm for electrical energy monitoring
Published 2021“…The prototype is constructed through software and hardware development and has been programmed using Arduino IDE software. …”
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Data mining in network traffic using fuzzy clustering
Published 2003“…The network traffic model is very important to know whether that particular network traffic is normal or abnormal. In this project, I have developed a program to capture and filter the packets based on the application. …”
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Data mining in network traffic using fuzzy clustering
Published 2003“…The network traffic model is very important to know whether that particular network traffic is normal or abnormal. In this project, I have developed a program to capture and filter the packets based on the application. …”
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Multi -Objective Economic Dispatch Using Evolutionary Programming
Published 2023“…The designated algorithm of MOEP used MATLAB to run the simulations. …”
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Agent-based extraction algorithm for computational problem solving
Published 2015“…Modeling Computational Problem Solving (CPS) is the main issue in teaching programming where the given text is needed to be transformed into a model then later into a programming language. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Enhanced dynamic security assessment for power system under normal and fake tripping contingencies.
Published 2019“…The hybrid logistic model tree (hybrid LMT) approach proposed in this study combines the symmetrical uncertainties (SU) algorithm and the logistic model tree (LMT) algorithm. …”
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Neural network based model predictive control for a steel pickling process
Published 2009“…The Levenberg-Marquardt algorithm is used to train the process models. In the control (MPC) algorithm, the feedforward neural network models are used to predict the state variables over a prediction horizon within the model predictive control algorithm for searching the optimal control actions via sequential quadratic programming. …”
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