Wei Wei Heng

STCo: A Communication-Efficient Spatiotemporal Context-Aware Framework for V2V Collaborative Perception

Youhuizi Li, Zilong Zhao, Wei Wei Heng, Yuyu Yin et autres

Multi-vehicle collaborative perception is fundamental to realizing Level 4+ autonomous driving by enabling connected vehicles to share and integrate sensor data for enhanced situational awareness. Under emerging Internet of Things (IoT) architectures, fleets of vehicles form dynamic, decentralized networks. In practice, however, …

cn (code pays fourni par la source)

Structured Personality Control and Adaptation for LLM Agents

Jinpeng Wang, Xinyu Jia, Wei Wei Heng, Yuquan Li et autres

Large Language Models (LLMs) are increasingly shaping human-computer interaction (HCI), from personalized assistants to social simulations. Beyond language competence, researchers are exploring whether LLMs can exhibit human-like characteristics that influence engagement, decision-making, and perceived realism. Personality, in particular, is critical, yet existing …

Structured Personality Control and Adaptation for LLM Agents

Jinpeng Wang, Xinyu Jia, Wei Wei Heng, Yuquan Li et autres

Large Language Models (LLMs) are increasingly shaping human-computer interaction (HCI), from personalized assistants to social simulations. Beyond language competence, researchers are exploring whether LLMs can exhibit human-like characteristics that influence engagement, decision-making, and perceived realism. Personality, in particular, is critical, yet existing …

PO-RRT* Path Planning Algorithm for Autonomous Service Robots

Fraz Zaheer, Rajesh Yadav, Muhammad Imran Babar, Wei Wei Heng et autres

gb, my, pk (code pays fourni par la source)

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

Wei Wei Heng, Eileen Lee Ming Su, Nurul Ashikin Abdul-Kadir, Weng Howe Chan et autres

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 early patient response. However, most existing VF prediction methods rely on …

cn, gb, my, pk (code pays fourni par la source)

vNOTES hysterectomy with a homemade glove port: Initial experience in Singapore

Wei Wei Heng, Wei Jie Brandon Khaw, H. Chan, Joella Xiaohong Ang et autres

Vaginal natural orifice transluminal endoscopic surgery (vNOTES) is an established surgical method of performing hysterectomy via the vaginal route and is one of the latest editions to the realm of minimally invasive surgery. Since the first vNOTES performed by Su et al. …

sg (code pays fourni par la source)

Atrial Fibrillation Dynamic Features Recognition using 1-D Convolutional Neural Networks

Yik Hern Ong, Nurul Ashikin Abdul-Kadir, Nasrul Humaimi Mahmood, Muhammad Amin Abd Wahab et autres

Atrial fibrillation (AF) is a prevalent cardiac arrhythmia that requires accurate detection for effective management and treatment. This study aims to propose a simple yet effective one-dimensional convolutional neural network (1D-CNN) for the AF dynamic features recognition which are extracted using a …

my (code pays fourni par la source)

Design Optimization of 3D Printed Digital Stethoscope for Low-Cost Telemedicine

Rou Xuan Goh, Kai Qian Loo, Yi Cherng Tan, Zi Yang Wong et autres

Modern day acoustic stethoscope is a necessary equipment to aid clinical practitioners in performing diagnosis on patients. For initial assessments and long-term medical evaluations, it is beneficial for patients to be able to monitor their health status between check-ups and for doctors …

my, gb (code pays fourni par la source)

Laparoscopic completion gastrectomy: A single‐institution case series and systematic review of the literature

Wei Wei Heng, Jian Ying Tiffany Lye, Zhen Jin Lee, Weng Hoong Chan et autres

INTRODUCTION: Completion gastrectomy with lymphadenectomy for remnant gastric cancer (RGC) is currently the gold standard for patients with resectable disease. Multiple surgical approaches can be adopted; however, there exists no agreement on the best choice due to the low incidence of RGC. …

sg (code pays fourni par la source)

Deep Learning and Explainable Machine Learning on Hair Disease Detection

Wei Wei Heng, Nurul Ashikin Abdul-Kadir

Deep learning algorithms have been widely used for various healthcare research because it helps eliminate the need for manual feature extraction which requires specialist expertise and is time-consuming. However, deep learning models have low interpretability in their classification results and hence low …

my (code pays fourni par la source)

Atrial Fibrillation Pattern Recognition using Features of Second Order Dynamic System

Lee Wei Qi, Nurul Ashikin Abdul-Kadir, Wei Wei Heng, Mohd Afzan Othman et autres

According to World Health Organization (WHO), an estimated 17.9 million people died from cardiovascular diseases (CVD) in 2019, representing 32 % of all global deaths. Of these deaths, 85 % were due to heart attack and stroke. The occurrence and prevalence of …

my (code pays fourni par la source)

Explainable Machine Learning on Classification of Healthy and Unhealthy Hair

Weng Yan Chow, Wei Wei Heng, Nurul Ashikin Abdul-Kadir, Hrikeshraj Nadaraj

Early scalp disease diagnosis is made easier with the aid of Deep Learning (DL) algorithms. Utilizing DL algorithms eliminates the requirement for manual data reconstruction and feature extraction for classification purposes. Moreover, the growing usage of DL for essential applications such as …

my (code pays fourni par la source)