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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 -
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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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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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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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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 -
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BASE: a bacteria foraging algorithm for cell formation with sequence data
Published 2010“…In addition, a newly developed BFA-based optimization algorithm for CF based on operation sequences is discussed. …”
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Article -
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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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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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Development of photo forensics algorithm by detecting photoshop manipulation using error level analysis
Published 2017“…The objective of this paper is to develop a photo forensics algorithm which can detect any photo manipulation. …”
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Article -
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Multi-Object Attitude and Rate Tracking for Spacecraft in Formation Flying
Published 2011“…Based on the same approach the relative dynamics and kinematics are augmented to the previous system to represent the overall system process model. The developed controller is applied to spacecraft in formation as a decentralized control algorithm which aims to track absolute and relative attitude and rates simultaneously.The developed controller is applied to a spacecraft formation in a remote sensing mission.The simulations results show the capabilities of the MSDRE to handle the multi-object tracking without any unnecessary control efforts that might lead to actuators saturations or additional control logic to switch between absolute and relative tracking. …”
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Proceeding Paper -
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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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Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024Conference Paper -
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Guidance and control for satellite in-orbit-self-assembly proximity operations
Published 2015“…Numerical nonlinear simulations that illustrate the performance and accuracy of the proposed algorithms are performed in a cubic formation assembly.…”
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Article -
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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 -
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Development Of A Robust Blind Digital Video Watermarking Algorithm Using Discrete Wavelet Transform
Published 2007“…The aim of this research is to develop a video watermarking algorithm to embed a binary image inside the uncoded video stream that acts as a logo. …”
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Modem Recognition Algorithm for Software Defined Radio Base Station
Published 2004“…The proposed algorithm was developed based on 8th order statistical moment and the technique was chosen based on the research work done by Keith et al [15]. …”
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A modified strength capacity for composite slab using reliability approach
Published 2016“…Hence, variable deection, _defl and shear resistance, _prop factors are introduced to modify the existing limit state. Similarly, a procedural algorithm lead to the development of pro_led composite slab strength determination function for both longitudinal shear estimation methods by considering section slenderness and deck characteristics. …”
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New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images
Published 2016“…Firstly, this proposed algorithm tackles the non-uniform illumination issue by implementing two modified Gaussian fuzzy membership functions to predetermined underexposed and overexposed regions. …”
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Fuzzy adaptive emperor penguin optimizer for global optimization problems
Published 2023“…The Emperor Penguin Optimizer (EPO) is a recently developed population-based metaheuristic algorithm that simulates the huddling behaviour of emperor penguins. …”
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