13 citations · 28 across the 11 of their papers we have counts for
11 papers
SSAS: Cross-subject EEG-based Emotion Recognition through Source Selection with Adversarial Strategy
Yici Liu, Qi Wei Oung, Hoi Leong Lee
Electroencephalographic (EEG) signals have long been applied in the field of affective brain-computer interfaces (aBCIs). Cross-subject EEG-based emotion recognition has demonstrat…
Challenges, Advances, and Evaluation Metrics in Medical Image Enhancement: A Systematic Literature Review
Chun Wai Chin, Haniza Yazid, Hoi Leong Lee
Medical image enhancement is crucial for improving the quality and interpretability of diagnostic images, ultimately supporting early detection, accurate diagnosis, and effective t…
An improved educational competition optimizer with multi-covariance learning operators for global optimization problems
Baoqi Zhao, Xiong Yang, Hoileong Lee +1
The educational competition optimizer is a recently introduced metaheuristic algorithm inspired by human behavior, originating from the dynamics of educational competition within s…
A modified RIME algorithm with covariance learning and diversity enhancement for numerical optimization
Shangqing Shi, Luoxiao Zhang, Yuchen Yin +2
Metaheuristics are widely applied for their ability to provide more efficient solutions. The RIME algorithm is a recently proposed physical-based metaheuristic algorithm with certa…
A multi-strategy improved gazelle optimization algorithm for solving numerical optimization and engineering applications
Qi Diao, Chengyue Xie, Yuchen Yin +2
Aiming at the shortcomings of the gazelle optimization algorithm, such as the imbalance between exploration and exploitation and the insufficient information exchange within the po…
Safe and Efficient Lane-Changing for Autonomous Vehicles: An Improved Double Quintic Polynomial Approach with Time-to-Collision Evaluation
Rui Bai, Rui Xu, Teng Rui +5
Autonomous driving technology has made significant advancements in recent years, yet challenges remain in ensuring safe and comfortable interactions with human-driven vehicles (HDV…
A Steel Surface Defect Detection Method Based on Lightweight Convolution Optimization
Cong Chen, Ming Chen, Hoileong Lee +2
Surface defect detection of steel, especially the recognition of multi-scale defects, has always been a major challenge in industrial manufacturing. Steel surfaces not only have de…
SLENet: A Novel Multiscale CNN-Based Network for Detecting the Rats Estrous Cycle
Qinyang Wang, Hoileong Lee, Xiaodi Pu +2
In clinical medicine, rats are commonly used as experimental subjects. However, their estrous cycle significantly impacts their biological responses, leading to differences in expe…
Kidney and Kidney Tumour Segmentation in CT Images
Qi Ming How, Hoi Leong Lee
Automatic segmentation of kidney and kidney tumour in Computed Tomography (CT) images is essential, as it uses less time as compared to the current gold standard of manual segmenta…
Diagnosis of COVID-19 based on Chest Radiography
Mei Gah Lim, Hoi Leong Lee
The Coronavirus disease 2019 (COVID-19) was first identified in Wuhan, China, in early December 2019 and now becoming a pandemic. When COVID-19 patients undergo radiography examina…
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images
Hoileong Lee, Tahreema Matin, Fergus Gleeson +1
The human lung is a complex respiratory organ, consisting of five distinct anatomic compartments called lobes. Accurate and automatic segmentation of these pulmonary lobes from com…