Explanipedia

Early prediction of ventricular fibrillation through continuous ECG analysis and machine learning techniques Open

Wei Wei Heng, Eileen Lee Ming Su, Xiangnan Feng, Nurul Ashikin Abdul-Kadir, Weng Howe Chan , et al. · 2025

Purpose Ventricular fibrillation (VF) is a life-threatening arrhythmia in which timely intervention is critical to prevent sudden cardiac death (SCD). Early prediction can improve survival rates by enabling pre-emptive clinical actions or …

Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions Open

Yifan Chen, Weng Howe Chan, Eileen Lee Ming Su, Qi Diao · 2025

With the growing complexity and interdependence of urban systems, multi-objective optimization (MOO) has become a critical tool for smart-city planning, sustainability, and real-time decision-making. This article presents a systematic lite…

Brain tumor classification using MRI images and deep learning techniques Open

Yon‐Cheong Wong, Eileen Lee Ming Su, Che Fai Yeong, William Holderbaum, Chenguang Yang · 2025

Brain tumors pose a significant medical challenge, necessitating early detection and precise classification for effective treatment. This study aims to address this challenge by introducing an automated brain tumor classification system th…

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Open

Songyan Xie, Jinghang Wen, Eileen Lee Ming Su, Qiucheng Yu · 2025

Near-infrared (NIR) face recognition systems, which can operate effectively in low-light conditions or in the presence of makeup, exhibit vulnerabilities when subjected to physical adversarial attacks. To further demonstrate the potential …

Quantitative metrics for evaluating surgical dexterity using virtual reality simulations Open

Mingyu Wu, Cham Ying Kit, Eileen Lee Ming Su, Che Fai Yeong, Siti Nor Zawani Ahmmad , et al. · 2025

This study develops and evaluates quantitative metrics to assess surgical dexterity within virtual reality (VR) simulations to enhance surgical training and performance. By employing advanced VR technology, this research systematically inv…

RELATIONSHIP BETWEEN CONVENTIONAL SINGLE LEG STANCE BALANCE ASSESSMENT AND SENSOR-BASED TEST USING ELECTRONIC WOBBLE BOARD Open

Nuria Hanim, Eileen Lee Ming Su, Yvonne Yee Woon Khor, Kang Xiang Khor, Muhammad Najib Abdullah , et al. · 2025

Assessing balance is essential for determining the likelihood of falling, particularly in older populations and rehabilitative situations. Traditional methods of assessing balance, such as the single leg stance, have been shown to be benef…

Multi‐View Unsupervised Feature Selection With Soft Label Learning and Tensor Low Rank Approximation Open

Jian Zhao, Yinan Wu, Mingyu Wu, Eileen Lee Ming Su, William Holderbaum , et al. · 2025

Advancements in information and storage technologies have led to the proliferation of high‐dimensional multi‐view data, necessitating robust feature selection methods. However, existing approaches often disregard data fuzziness and employ …

A Review of Machine Learning and Deep Learning Trends in EEG-Based Epileptic Seizure Prediction Open

Yue Wu, Eileen Lee Ming Su, Mingyu Wu, Chia Yee Ooi, William Holderbaum · 2025

Epileptic seizures impair patients’ health and quality of life, and electroencephalography (EEG)-based prediction enables timely intervention. Early work on epileptic seizure prediction employed linear models, whereas recent studies employ…

Bokashi-Based Home Composter for Fertigation System Open

Mohd Azhar Abdul Razak, Iqbal Najib, Nasrul Humaimi Mahmood, Nor Aini Zakaria, Norlaili Mat Safri , et al. · 2024

Organic waste management is a huge problem coming from residential homes throughout the country. Improper decomposition of waste generates methane, which contributes significantly to the environment in terms of greenhouse effects. The prop…

Innovative Synergistic Genetic Algorithm and Particle Swarm Optimization for Scheduling Optimization in Mobile Robots Open

Mingyu Wu, Chun Leong Lim, Eileen Lee Ming Su, Che Fai Yeong, Bowen Dong , et al. · 2024

Autonomous Mobile Robots (AMRs) are crucial in modern manufacturing for automating material handling and transportation. However, optimizing their task scheduling is challenging due to conflicting objectives like minimizing makespan and re…

A hybrid path planning algorithm combining A<i>*</i> and improved ant colony optimization with dynamic window approach for enhancing energy efficiency in warehouse environments Open

Mingyu Wu, Eileen Lee Ming Su, Che Fai Yeong, Bowen Dong, William Holderbaum , et al. · 2024

This research presents a novel hybrid path planning algorithm combining A*, ant colony optimization (ACO), and the dynamic window approach (DWA) to enhance energy efficiency in warehouse environments. The proposed algorithm leverages the h…

An intelligent predictive maintenance system based on random forest for addressing industrial conveyor belt challenges Open

Mingyu Wu, Kai Woon Goh, Kam Heng Chaw, Ye Sheng Koh, Marvin Dares , et al. · 2024

This study introduces a sophisticated intelligent predictive maintenance system for industrial conveyor belts powered by a random forest machine learning model. The random forest model was evaluated against established models such as logis…

BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models Open

Eileen Lee Ming Su, Hu Cao, Alois Knoll · 2024

Accurate segmentation of polyps and skin lesions is essential for diagnosing colorectal and skin cancers. While various segmentation methods for polyps and skin lesions using fully supervised deep learning techniques have been developed, t…

Visual Object Tracking Using Deep Learning Techniques: A Comparison Open

Eileen Lee Ming Su · 2024

Visual object tracking is one of the important topics in computer vision: given a target object in the first frame of a video, follow this target object on subsequent frames. Its applications are found in autonomous driving, human-computer…

Sensor-based Approach for Objective Balance Skill Assessment: A Review Open

Nuria Hanim, Eileen Lee Ming Su, Yvonne Yee Woon Khor, Che Fai Yeong, Kang Xiang Khor , et al. · 2024

This paper provides a review of sensor-based platforms utilized in the assessment of balance skills, offering insights into various types of sensors, outcome measures and efforts in clinical evaluations. Balance skill assessment is crucial…

Optimizing assembly processes with augmented reality: a case study on TurtleBots Open

Mingyu Wu, Ye Sheng Koh, Che Fai Yeong, Kai Woon Goh, Marvin Dares , et al. · 2024

Augmented reality (AR) technology is revolutionizing traditional assembly processes, offering intuitive and interactive guidance that significantly enhances operational efficiency and accuracy. This study investigates the impact of AR on t…

Deep Learning Autoencoder Study on ECG Signals Open

Dandi Mochamad Reza, Satria Mandala, Salim M. Zaki, Eileen Lee Ming Su · 2023

Arrhythmia refers to an irregular heart rhythm resulting from disruptions in the heart's electrical activity. To identify arrhythmias, an electrocardiogram (ECG) is commonly employed, as it can record the heart's electrical signals. Howeve…

Comparison between Romberg test with sensor-based balance assessment using electronic wobble board Open

Yvonne Khor Yee Woon, Eileen Lee Ming Su, Kang Xiang Khor, Muhammad Najib Abdullah, Che Fai Yeong · 2023

The number of fall-related injuries resulting in hospital admissions could place a significant load on hospitals. Prior research revealed that balance impairment is the most reliable indicator of future falls, and postural instability test…

Review on Conventional Approaches to Balance Assessment Open

Nuria Hanim, Yvonne Yee Woon Khor, Kang Xiang Khor, Muhammad Najib Abdullah, Che Fai Yeong , et al. · 2023

Balancing plays a crucial role in our day-to-day activities and sports performance. However, the evaluation of this skill lacks standardized approaches, resulting in a wide range of practices. This article presents an introduction and crit…

A REVIEW ON AUGMENTED REALITY TRACKING METHODS FOR MAINTENANCE OF ROBOTS Open

Ye Sheng Koh, Kai Woon Goh, Marvin Dares, Che Fai Yeong, Eileen Lee Ming Su , et al. · 2020

Augmented reality (AR) in maintenance is a broad subject with many nuances when it comes to their implementation. The applications of these systems range from maintenance of large-scale assets such as buildings to smaller scale assets such…

Prediction of Ventricular Fibrillation Using Support Vector Machine Open

Wei Wei Heng, Eileen Lee Ming Su, Ahmad Nizar Jamaluddin, Fauzan Khairi Che Harun, Nurul Ashikin Abdul-Kadir , et al. · 2020

Sudden cardiac death (SCD) remains one of the top causes of high mortality rate. Early prediction of ventricular fibrillation (VF), and hence SCD, can improve the survival chance of a patient by enabling earlier treatment. Heart rate varia…

Investigating Phase Space Reconstruction of ECG for Prediction of Malignant Ventricular Arrhythmia Open

Wei Wei Heng, Eileen Lee Ming Su, Ahmad Nizar Jamaluddin, Che Fai Yeong · 2020

Prediction of malignant ventricular arrhythmia is imperative to enable early diagnosisand prevent sudden cardiac death. There are a wide variety of methods employed in previous works with box counting of phase space reconstruction diagrams…

Prediction Algorithm of Malignant Ventricular Arrhythmia Validated across Multiple Online Public Databases Open

Wei Wei Heng, Eileen Lee Ming Su, Ahmad Nizar Jamaluddin, Fauzan Khairi Che Harun, Nurul Ashikin Abdul-Kadir , et al. · 2019

Prediction of malignant ventricular arrhythmia (mVA) is essential to prevent sudden cardiac death.There were mainly three research clusters on mVA prediction using electrocardiogram (ECG): prediction using CUDB, SDDB and private databases.…

Enhanced Localization with Adaptive Normal Distribution Transform Monte Carlo Localization for Map Based Navigation Robot Open

Taeyhang Lim, Che Fai Yeong, Eileen Lee Ming Su, Shaekh Mohammad Shithil, Sheng Fei Chik , et al. · 2019

Map-based navigation is the common navigation method used among the mobile robotic application. The localization plays an important role in the navigation where it estimates the robot position in an environment. Monte Carlo Localization (M…

Neural-Network Based Adaptive Proxemics-Costmap for Human-Aware Autonomous Robot Navigation Open

Chik Sheng Fei, Yeong Che Fai, Eileen Lee Ming Su, Lim Thol Yong, Feng Duan , et al. · 2019

In the revolution of Industry 4.0, autonomous robot navigation plays a vital role in ensuring intelligent cooperation with human workers to increase manufacturing efficiency. Human prefers to maintain a proxemic distance with other subject…

Objective assessment of surgeon’s psychomotor skill using virtual reality module Open

Siti Nor Zawani Ahmmad, Eileen Lee Ming Su, Yeong Che Fai, S Sood, Anil Gandhi , et al. · 2019

This study aims to identify measurable parameters that could be used as objective assessment parameters to evaluate surgical dexterity using computer-based assessment module. A virtual reality module was developed to measure dynamic …

Adaptive Control of DC Motor for One-DOF Rehabilitation Robot Open

Junaid Zahid, Kang Xiang Khor, Che Fai Yeong, Eileen Lee Ming Su, Feng Duan · 2017

This paper presents an adaptive control technique to control the movement of DC motor for one-DOF rehabilitation robot. Different types of controllers are used to provide accurate positioning of the motor for robots. PID controller is one …

Development of Virtual Reality Surgical Simulator with Online Database Open

Shilong Shu, Eileen Lee Ming Su, Che Fai Yeong, S Sood, Anil Gandhi · 2017

Conventionally, assessment of surgical skill in medical trainees is based on direct observation of outcomes by expert surgeons. This method is too subjective and is prone to inter and intra-rater’s variability. Therefore, a computer and se…

Important Parameters for Hand Function Assessment of Stroke Patients Open

Hisyam Abdul Rahman, Che Fai Yeong, Kang Xiang Khor, Eileen Lee Ming Su · 2017

Clinical scales such as Fugl-Meyer Assessment and Motor Assessment Scale are widely used to evaluate stroke patient's motor performance. However, the scoring systems of these assessments provide only rough estimation, making it difficult t…

OBJECTIVE MEASUREMENT FOR SURGICAL SKILL EVALUATION Open

Siti Nor Zawani Ahmmad, Eileen Lee Ming Su, Yeong Che Fai, S Sood, Anil Gandhi · 2016

The purpose of this study was to identify measurable parameters that can be used to quantitatively assess psychomotor skills, specifically for surgical skills assessment. Sixteen participants were recruited from two groups: surgeon (N = 5)…

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