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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…However, less works have been conducted in applying multiobjective based algorithm for topic extraction. Most of these algorithms are not optimized, even if they are, they are only optimized by using a single objective method and may underperform when solving real-world problems which are typically multi-objectives in nature. …”
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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…However, less works have been conducted in applying multiobjective based algorithm for topic extraction. Most of these algorithms are not optimized, even if they are, they are only optimized by using a single objective method and may underperform when solving real-world problems which are typically multi-objectives in nature. …”
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A comparative analysis of anti-phishing website techniques: identifying optimal approaches to enhance cybersecurity
Published 2023“…The research consists of analysing the characteristics of phishing websites, extracting their essential features using the wrapper method, and classifying websites as phishing or legitimate using supervised and unsupervised learning algorithms. …”
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Final Year Project / Dissertation / Thesis -
4
Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam
Published 2017“…In the preliminary study, the algorithm is evaluated on the four different peak models of the three EEG signals using the artificial neural network (ANN) with particle swarm optimization (PSO) as learning algorithm. …”
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5
Investigating optimal smartphone placement for identifying stairs movement using machine learning
Published 2023“…It was observed that, by using the Decision Tree and Random Forest algorithm 100% accuracy was achieved, when the smartphone was placed at the thigh during stair movement. …”
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Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients
Published 2017“…The proposed method is based on a hybrid method integrating random walkers algorithm with integrated priors and particle swarm optimized spatial fuzzy c-means (FCM) algorithm with level set method and AdaBoost classifier. …”
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7
Drowsiness Detection Using Ocular Indices from EEG Signal
Published 2022“…In this study, we used the BLINKER algorithm to extract 25 blink-related features from a public dataset comprising raw EEG signals collected from 12 participants. …”
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Modeling of road geometry and traffic accidents by hierarchical object-based and deep learning methods using laser scanning data
Published 2018“…There was a need for efficient segmentation algorithm, optimization strategy, feature extraction and classification, and robust statistical and computational intelligence models to accomplish the set aims. …”
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9
Brewing perfection: real-time monitoring of arabic coffee using iot and machine learning
Published 2026“…Using the YOLOv8 algorithm, a model was trained to detect and track the state of coffee in real time. …”
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Proceeding Paper -
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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12
Geometric-RANSAC position estimation method for enhanced indoor positioning using multipath signals for single base station systems
Published 2025“…As the demand for location-based services in indoor settings increases, developing accurate indoor positioning systems becomes crucial to accommodating user requirements. Numerous works have proposed methods to mitigate the effect of multipath error on indoor positioning accuracy. …”
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Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi
Published 2017“…An algorithm vision based page segmentation algorithm will be implemented in this system to extract the data from multiple websites and will be displayed in new website. …”
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14
Effective query structuring with ranking using named entity categories for XML retrieval
Published 2016“…The method employs Semantic Tags Extraction (STSE) algorithm to extract semantic tags of an element and Element Enrichment (EERM) algorithm to enrich the elements. …”
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15
Agent-based extraction algorithm for computational problem solving
Published 2015“…The results show that the extraction algorithm has been able to extract 100 % of the information correctly. …”
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Jogging activity recognition using k-NN algorithm
Published 2022“…Jogging activity recognition using the k-NN algorithm is a system that can help users collect information data of user speed movement using speed sensor and give the classification of jogging activity to the user. …”
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Academic Exercise -
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Text Extraction Algorithm for Web Text Classification
Published 2010“…This study provides a text extraction algorithm for web text classification. The extraction algorithm consists of three phases namely web page extraction, rule formulation, and algorithm validation. …”
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18
Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…In addition, this research does not require any pre-stored database to train the algorithm. This research requires the supervision from the users to train the algorithm by naming the region. …”
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Final Year Project / Dissertation / Thesis -
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BRAIN ACTIVITIES FOR MOTOR MOVEMENT
Published 2012“…The Feature extraction method MVAAR couldn’t extract the actual feature for the four movements so we couldn’t classify between them.…”
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Final Year Project -
20
Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding
Published 2022“…In this context, keyphrase extraction algorithms can extract information from news articles. …”
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