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1
Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…In order to solve it, Bat Algorithm method is implement in to optimization method in fuzzy modeling for classification. …”
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Undergraduates Project Papers -
2
ECG encryption enhancement with multi-layers of AES and DNA computing
Published 2023“…In order to more effectively incorporate both present technology and developing technology, models of DNA cryptography need to be developed. …”
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3
Selective video encryption algorithm based on H.264/AVC and AES
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Book Chapter -
4
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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5
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…So, the integration of Artificial Neural Network (ANN) with an Expert System for material classification was explored. The computational tool, Matlab was proposed for classification with Levenberg-Marquardt training algorithm, which provided faster rate of convergence for feed forward network. …”
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6
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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7
A multi-filter feature selection in detecting distributed denial-of-service attack
Published 2019“…In addition, the proposed M2FS method is developed through WEKA API with Java Programming language using the IDE of Eclipse Java. …”
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Conference or Workshop Item -
8
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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9
Secure block cipher inspired by the human immune system
Published 2012“…Symmetric encryption block cipher is an important cryptographic algorithm and the quest of enhancing data security is crucial due to the heavy usage of internet and mobile devices worldwide. …”
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10
Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin
Published 2012“…The image classification prototype is developed by using JAVA programming language which is based on supervised learning algorithm, Backpropagation Neural Network. …”
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11
Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms
Published 2016“…The study proposes the use of software metric thresholds in the classification process during the GA representation. …”
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12
Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024Conference Paper -
13
Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…Machine Learning is one of the ways as a preventive method by applying the data collected from the clogging experiment in the vibration lab to build up a machine learning model for classification of flow blockage levels in the centrifugal pump. …”
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Monograph -
14
Proposed method for enhancing quantum bit error rate using quantum key distribution technique
Published 2014“…The main issue is, the public key algorithm suffers no effective solutions which are natural within particular integer factorization, distinct logarithm and also elliptic curve interactions. …”
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Conference or Workshop Item -
15
Enhancement of Security Architecture for Smartcard Based Authentication Protocols
Published 2004“…To identify the best cryptographic algorithm suitable for smartcard applications, the dissertation also investigates the implementation of Elliptic Curve encryption techniques and presents performance comparisons based on similar techniques. …”
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