Search Results - (( learning implementation function algorithm ) OR ( java communication system algorithm ))
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1
Design of Improved Stream Cipher Algorithms for GSM Communication
Published 2024thesis::master thesis -
2
Training functional link neural network with ant lion optimizer
Published 2020“…This paper proposed the implementation of Ant Lion Algorithm as learning algorithm to train the FLNN for classification tasks. …”
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3
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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4
Implementation of (AES) Advanced Encryption Standard algorithm in communication application
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5
Network game (Literati) / Chung Mei Kuen
Published 2003“…The possible applications of multimedia-networked system are endless, as the demand to support interactive communication among groups of users has increased significantly. …”
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6
Functional link neural network with modified bee-firefly learning algorithm for classification task
Published 2016“…This work proposed the implementation of modified Artificial Bee Colony with Firefly algorithm for training the FLNN network to overcome the drawback of BP-learning algorithm. …”
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7
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Support directional shifting vector: A direction based machine learning classifier
Published 2021“…The positional error of the linear function has been modelled as a loss function which is iteratively optimized using the gradient descent algorithm. …”
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9
Text messaging encryption system
Published 2012“…At present, banking,commerce and passwords can only be communicated with internet connection or as in person verbally or in written;Text Messaging Encryption system needs to overcome this intermediate subjects and deliver instructions or messages instantaneously and securely. …”
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Undergraduates Project Papers -
10
A cluster-based hybrid replica control protocol for high availability in data grid
Published 2019“…The first issue is, nodes in the Grid systems are dynamic where they can join or leave the system at any time. …”
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11
Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
Published 2019“…An efficient iterative algorithm is developed to optimize the objective function of the proposed algorithm since it is non-smooth and difficult to solve. …”
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12
An implementation of brain emotional learning based intelligent controller for AVR system
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13
Network monopoly / Tan Kean Yeap
Published 2002“…Accordingly, the pressure from the users of these systems for ways to communicate among all these machines is irresistible. …”
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E-history Malaysian secondary school textbook using TF-IDF algorithm and text visualization / Nur Hafizah Mohd Ridzuan
Published 2020“…History is one of the school subjects in Malaysian schools and known as a compulsory subject that is required to pass the SPM examination. One of the main learning methods in Malaysian education is by using textbooks as it is a universal formal school learning material and a dominant resource of learning. …”
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16
Visdom: Smart guide robot for visually impaired people
Published 2025“…An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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Final Year Project / Dissertation / Thesis -
17
Securing cloud data system (SCDS) for key exposure using AES algorithm
Published 2021“…After that we use to build securing cloud data system (SCDS) for key exposure using the AES algorithm for encrypting and decrypting our website cloud data and files. …”
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18
Biometric identification with limited data set
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19
Car dealership web application
Published 2022“…Hence, two transfer learning algorithms were proposed and implemented to provide initial performance boost to the River adaptive random forest regressor and classifier, respectively. …”
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20
An approach to improve functional link neural network training using modified artificial bee colony for classification task
Published 2013“…The standard method for tuning the weight in FLNN is using a Backpropagation (BP) learning algorithm. Still, BP-learning algorithm has difficulties such as trapping in local optima and slow convergence especially for solving non-linearly separable classification problems. …”
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