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1
A Model for Evaluation of Cryptography Algorithm on UUM Portal
Published 2004“…The simulation model was developed using Active Server Page, JavaScript and SQL 7.0 as database. …”
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2
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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3
Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…In addition, the randomness of the session key generated from the MLCG is verified using NIST test suite. Besides that, the security of the proposed protocol is validated using the formal analysis tool, AVISPA. …”
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4
Visualisation tool to study malaria transmission using network modelling
Published 2014“…Java was used to implement the visualisation tool. …”
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Final Year Project Report / IMRAD -
5
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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6
Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
7
Human activity recognition via accelerometer and gyro sensors
Published 2023“…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
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Final Year Project / Dissertation / Thesis -
8
Priority and dynamic quantum time algorithms for central processing unit scheduling
Published 2018“…Central Processing Unit is scheduled using different types of scheduling algorithms. One of the most widely algorithm used in scheduling with sharing and batch operating systems is Round Robin. …”
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9
Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed
Published 2008“…In this report, it analyzes an application of repetitive control algorithm that deal with periodic disturbance.. To investigates the possibility of using a truncated finite impulse response (FIR) model approximation to implement a well-known gradient type repetitive control algorithm. …”
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Student Project -
10
Mobile machine vision for railway surveillance system using deep learning algorithm
Published 2021“…In this paper, object detection model is developed and implemented with deep learning algorithm. …”
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Proceedings -
11
IMPLEMENTATION OF NOISE CANCELLATION WITH HARDWARE DESCRIPTION LANGUAGE
Published 2006“…The performance of several adaptive algorithms is compared to determine the desirable algorithm used for adaptive noise cancellation system. …”
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Final Year Project -
12
Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production
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13
A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…Ten knowledge and domain experts provided positive feedback on the framework's verification, affirming the framework's robustness. Validation was conducted through three experiments involving four Java programs. …”
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14
Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…The developed THF-NLFXLMS algorithm is tested by means of simulation and implemented experimentally using FPGA-based real time controller for a nonlinear ANC application. …”
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15
Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…The designed algorithms are implemented for EHD equations and their performance is evaluated by using different performance indicators. …”
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Design and Implementation of MDS Hash Function Algorithm Using Verilog HDL
Published 2020“…Among hash algorithms, MD5 is the most used hash function algorithm. …”
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Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production
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20
Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas production
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