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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Feature subset selection and classifier ensemble learning are familiar techniques with high ability to optimize above problems. …”
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Thesis -
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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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Prediction of COVID-19 outbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman
Published 2024“…A prototype architecture and a user-friendly graphical interface tailored for SVM-based outbreak predictions are developed, accompanied by detailed code snippets elucidating essential steps in data loading, encoding, scaling, and SVM model training. …”
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BLAZEBREAKER: GAMIFY THE FLAMES
Published 2024“…The project addresses the critical need for effective training methods to ensure occupants are well-equipped to respond to fire emergencies. …”
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Final Year Project -
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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Extended development of a Computer Aided Detection (CAD) system for brain bleed in CT / Muhammad Illyas Abdul Muhji
Published 2018“…In this study, 227 volumes of brain CT images were used to develop and validate the CAD. The new develop algorithm is set to register image of brain patient in order to determine the rotation angle for brain realignment. …”
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Direct neuro-AVC modelling and control strategy for vibration suppression of a flexible plate structure
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Steady state security analysis using artificial neural network
Published 2008“…The performance of the developed model is compared with the unified neural network trained with the full feature set. …”
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Student Project -
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A New Mobile Botnet Classification based on Permission and API Calls
Published 2024Proceedings Paper -
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Implementing Aproiri Algorithm for Predicting Result Analysis
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An ensemble of neural network and modified grey wolf optimizer for stock prediction
Published 2019“…The research implements stock prediction analysis as a case study for training the neural network by adopting MGWO algorithm. …”
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Development of airbag suit system for motorcyclist
Published 2014“…The calibration involved a sizable collection of samples, analysis and training to set the threshold in the algorithm which decides the emergency events. …”
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Implementing Aproiri Algorithm for Predicting Result Analysis
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An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection
Published 2023“…However, most ML models have limitations in performance since the training depth is usually limited. The emergence of Deep Learning (DL) models allow more training possibilities and improvement in performance. …”
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Implementation of convolutional neural network (CNN) algorithm for autonomous robot / Tiara Kusuma Dewi ... [et al.]
Published 2024“…In Indonesia, the development of autonomous robots has emerged intensively since the last coronavirus pandemic, especially the autonomous UV disinfection (A-UV) robot. …”
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
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Final Year Project / Dissertation / Thesis -
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PV fault classification: Impact on accuracy performance using feature extraction in random-forest cross validation algorithm
Published 2024“…In this process, each simulated fault that are line-line faults (LLF), open-circuit faults (OCF), ground faults (GF) and partial shading (PS) dataset was divided, with 80% allocated for training and 20% for testing purposes. As the results, all SFDC models (small, medium, large-scale) developed have achieved 100% accuracy for all fault types in training simulations. …”
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