15 citations · 15 across the 2 of their papers we have counts for
5 papers
A binary PSO based ensemble under-sampling model for rebalancing imbalanced training data
Jinyan Li, Yaoyang Wu, Simon Fong +4
Ensemble technique and under-sampling technique are both effective tools used for imbalanced dataset classification problems. In this paper, a novel ensemble method combining the a…
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network
Iat Hang Fong, Tengyue Li, Simon Fong +2
Air pollution (AP) poses a great threat to human health, and people are paying more attention than ever to its prediction. Accurate prediction of AP helps people to plan for their…
Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach
Xian-Xian Liu, Mingkun Xu, Yuanyuan Wei +8
Timely and precise classification and segmentation of gastric bleeding in endoscopic imagery are pivotal for the rapid diagnosis and intervention of gastric complications, which is…
Bat Algorithm is Better Than Intermittent Search Strategy
Xin-She Yang, Suash Deb, Simon Fong
The efficiency of any metaheuristic algorithm largely depends on the way of balancing local intensive exploitation and global diverse exploration. Studies show that bat algorithm c…
Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications
Xin-She Yang, Suash Deb, Simon Fong
Business optimization is becoming increasingly important because all business activities aim to maximize the profit and performance of products and services, under limited resource…