Soo See Chai
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View article: Addressing overfitting and overestimation challenges in landslide susceptibility modeling: a case study of Penang Island, Malaysia
Addressing overfitting and overestimation challenges in landslide susceptibility modeling: a case study of Penang Island, Malaysia Open
View article: Interactivity in VR Therapy: Assessing Efficacy Across Acrophobia Severity
Interactivity in VR Therapy: Assessing Efficacy Across Acrophobia Severity Open
Virtual Reality (VR) and Artificial Intelligence (AI) have gained popularity in medical treatments, including for acrophobia- a common but often untreated fear of heights. Traditional therapies are often expensive and complex, making VR th…
View article: Cheating Detection in Examinations Using Improved YOLOv8 with Attention Mechanism
Cheating Detection in Examinations Using Improved YOLOv8 with Attention Mechanism Open
Examinations are among the most widely used and effective methods for assessing knowledge mastery, both domestically and internationally, and are extensively used in various talent-selection processes. Currently, offline exam venues usuall…
View article: Beyond digital interfaces: The human element in online teaching and its influence on student experiences
Beyond digital interfaces: The human element in online teaching and its influence on student experiences Open
Amidst the digital transformation of education, the essence of the human touch in online teaching remains pivotal. Despite growing literature, there remains a significant gap in understanding how the human element in online teaching direct…
View article: How Does Image Complexity Affect the Accuracy of an Interactive Image Segmentation Algorithm?
How Does Image Complexity Affect the Accuracy of an Interactive Image Segmentation Algorithm? Open
This study investigates the impact of image complexity on the accuracy of interactive image segmentation algorithms. Image complexity plays a crucial role in segmentation performance, yet previous studies have primarily relied on subjectiv…
View article: A Review of Deep Convolutional Neural Networks in Mobile Face Recognition
A Review of Deep Convolutional Neural Networks in Mobile Face Recognition Open
With the emergence of deep learning, Convolutional Neural Network (CNN) models have been proposed to advance the progress of various applications, including face recognition, object detection, pattern recognition, and number plate recognit…
View article: Effects of Different Superpixel Algorithms on Interactive Segmentations
Effects of Different Superpixel Algorithms on Interactive Segmentations Open
Semi-automated segmentation or more commonly known as interactive image segmentation is an algorithm that extracts a region of interest (ROI) from an image based on the input information from the user. The said algorithm will be repetitive…
View article: Hypertension Prediction in Adolescents Using Anthropometric Measurements: Do Machine Learning Models Perform Equally Well?
Hypertension Prediction in Adolescents Using Anthropometric Measurements: Do Machine Learning Models Perform Equally Well? Open
The use of anthropometric measurements in machine learning algorithms for hypertension prediction enables the development of simple, non-invasive prediction models. However, different machine learning algorithms were utilized in conjunctio…
View article: Superpixel Sizes using Topology Preserved Regular Superpixel Algorithm and their Impacts on Interactive Segmentation
Superpixel Sizes using Topology Preserved Regular Superpixel Algorithm and their Impacts on Interactive Segmentation Open
Interactive Image Segmentation is a type of semi-automated segmentation that uses user input to extract the object of interest. It is possible to speed up and improve the end result of segmentation by using pre-processing steps. The use of…
View article: A Multilayer Perceptron Neural Network Model to Classify Hypertension in Adolescents Using Anthropometric Measurements: A Cross-Sectional Study in Sarawak, Malaysia
A Multilayer Perceptron Neural Network Model to Classify Hypertension in Adolescents Using Anthropometric Measurements: A Cross-Sectional Study in Sarawak, Malaysia Open
This study outlines and developed a multilayer perceptron (MLP) neural network model for adolescent hypertension classification focusing on the use of simple anthropometric and sociodemographic data collected from a cross-sectional researc…
View article: Coupling Normalization with Moving Window in Backpropagation Neural Network (BNN) for Passive Microwave Soil Moisture Retrieval
Coupling Normalization with Moving Window in Backpropagation Neural Network (BNN) for Passive Microwave Soil Moisture Retrieval Open
View article: Brahmi Word Recognition by Supervised Techniques
Brahmi Word Recognition by Supervised Techniques Open
Significant progress has made in pattern recognition technology. However, one obstacle that has not yet overcome is the recognition of words in the Brahmi script, specifically the recognition of characters, compound characters, and word be…
View article: Recognition of Brahmi Words by Using Deep Convolutional Neural Network
Recognition of Brahmi Words by Using Deep Convolutional Neural Network Open
Significant progress has made in pattern recognition technology. However, one obstacle that has not yet overcome is the recognition of words in the Brahmi script, specifically the identification of characters, compound characters, and word…
View article: A Comparative Study of Interactive Segmentation with Different Number of Strokes on Complex Images
A Comparative Study of Interactive Segmentation with Different Number of Strokes on Complex Images Open
Interactive image segmentation is the way to extract an object of interest with the guidance of the user. The guidance from the user is an iterative process until the required object of interest had been segmented. Therefore, the input fro…
View article: Looking into the Freedom of Partner Choosing in Pair Programming
Looking into the Freedom of Partner Choosing in Pair Programming Open
The published research studies to date indicate that pair programming has a positive impact on some aspects of students’ performance. In the normal practice of pairing programming in the academic field, the students were paired by assignin…
View article: Radial Basis Function (RBF) Neural Network: Effect of Hidden Neuron Number, Training Data Size, and Input Variables on Rainfall Intensity Forecasting
Radial Basis Function (RBF) Neural Network: Effect of Hidden Neuron Number, Training Data Size, and Input Variables on Rainfall Intensity Forecasting Open
Mean daily rainfall of more than 30mm could result in flood hazard. Accurate prediction of rainfall intensity could help in forecasting of flash flood and help to save lives and properties. One of the common machine learning techniques in …
View article: Rainfall Classification for Flood Prediction Using Meteorology Data of Kuching, Sarawak, Malaysia: Backpropagation vs Radial Basis Function Neural Network
Rainfall Classification for Flood Prediction Using Meteorology Data of Kuching, Sarawak, Malaysia: Backpropagation vs Radial Basis Function Neural Network Open
Rainfall is often defined by stochastic process due
\nto its random characteristics, i.e. space and time dependent and it is therefore, not easy to predict. In general, rainfall is a highly
\nnon-linear and complicated phenomenon. In order…
View article: Backpropagation Vs. Radial Basis Function Neural Model: Rainfall Intensity Classification For Flood Prediction Using Meteorology Data
Backpropagation Vs. Radial Basis Function Neural Model: Rainfall Intensity Classification For Flood Prediction Using Meteorology Data Open
Rainfall is one of the important weather variables that vary in space and time. High mean daily rainfall (>30 mm) has a high possibility of resulting in flood. Accurate prediction of this variable would save human lives and proper…