Search Results - (( developing learning object algorithm ) OR ( data visualization using algorithm ))
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Designing algorithm visualization on mobile platform: The proposed guidelines
Published 2017“…This paper entails an ongoing study about the design guidelines of algorithm visualization (AV) on mobile platform, helping students learning data structures and algorithm (DSA) subject effectively.Our previous review indicated that design guidelines of AV on mobile platform are still few.Mostly, previous guidelines of AV are developed for AV on desktop and website platform. …”
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…This system is achieved using the Genetic Algorithm which is capable of performing information retrieval and learning algorithm. …”
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Thesis -
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…Visual C++ object-oriented programming language was used to build the Intelligent Learning System for Turning. …”
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4
Stock price monitoring system
Published 2024“…As stock price is time series data, a time series prediction algorithm is being utilized to build a deep learning model, namely Long Short-Term Memory (LSTM). …”
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Final Year Project / Dissertation / Thesis -
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Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…The result from the SVM algorithms will be used as database for the machine learning in Microsoft Azure. …”
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Monograph -
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Anomaly detection in network traffic using machine learning
Published 2026“…In this paper, an anomaly detection method is proposed using machine learning (ML) techniques. The study objective is to analyze the effectiveness and reliability of implementing machine learning techniques in identifying anomalies in network traffic. …”
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Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh
Published 2020“…These methods present a robust system that enables fully automated identification and removal of artifacts from EEG signals, without the need of visual inspection or arbitrary thresholding. The training and parameters selection of the machine learning algorithms are conducted using EEG data collected from ten subjects in the laboratory. …”
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Thesis -
8
Cabbage disease detection system using k-NN algorithm
Published 2022“…Finally, the KNN algorithm will be used to classify the disease based on sample nature and a cabbage disease data set. …”
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Academic Exercise -
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Low-light image analysis and contrast enhancement using gaussian process / Loh Yuen Peng
Published 2018“…The second contribution is an in-depth analysis of the collected data, specifically, by studying the global and local pixel intensities, followed by the performance and visualizations of hand-crafted and learned features. …”
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10
Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning
Published 2023“…Using a dataset from Kaggle comprising 13 attributes and 5000 rows of bank customer data, the research addresses the challenge of processing overwhelming customer information by leveraging machine learning models. …”
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Clustering autism spectrum disorder student’s system based on intelligence, skills and behavior using agglomerative clustering algortihm / Daarin Nadia Nordin
Published 2020“…Thus, this project proposes a solution to the problems by utilizing the machine learning approach which is the Agglomerative clustering algorithm. …”
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Thesis -
12
Auto raise hand in Microsoft teams (API/Extension)
Published 2023“…To be more specific, it is regarding facial expression recognition based on deep learning. Artificial Intelligence focuses on developing intelligences of machines, by developing algorithms, machines are able to learn from data and patterns, even perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. …”
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Final Year Project / Dissertation / Thesis -
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Unsupervised classification of multi-class chart images: A comparison of customized CNNs and transfer learning techniques
Published 2025“…The k-means clustering algorithm is then applied to group visually similar chart images. …”
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Deep learning-based water segmentation for autonomous surface vessel
Published 2020“…Using the developed ASV, new dataset of 143 images called Malaysia ASV Dataset (MASVD) is collected, labelled and made publicly available. …”
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Proceeding Paper -
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Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms
Published 2020“…In order to further validate the position of the tagging in the pallet box of the Random Forest model developed, a different predefined location was used to validate the model. …”
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Thesis -
16
Poverty Classification in Indonesia Using BiGRU, BPNN, and Stacking AdaBoost Frameworks
Published 2024“…These findings underscore the critical role of machine learning in formulating effective policies for poverty alleviation and suggest that integrating multiple machine learning algorithm can significantly enhance decision-making processes. …”
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Analyzing UiTMCTKKT vehicle utilization and travel pattern using predictive analytics
Published 2025“…Data from 2023 to 2024 was cleaned and analyzed, and visualizations were developed through an interactive dashboard using Power BI. …”
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Student Project -
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A Symbol Recognition System for Single-Line Diagrams Developed Using a Deep-Learning Approach
Published 2023“…Based on deep-learning techniques, a dataset can be used to assess the overall quality of a visual system. …”
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An early warning system for students at risk using supervised machine learning
Published 2024“…For that, this study will perform a study of the current issues, factors, and solutions in education student’s data, determine the supervised machine learning algorithms, compare which model is the best predict the students’ performances, develop an early warning system for the educators to make an early decision in order to assist and consult the at-risk students, and finally conduct testing and evaluation of the system. …”
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