237 citations · 369 across the 8 of their papers we have counts for
8 papers
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…
A Hierarchical Multi-Objective Programming Approach to Planning Locations for Macro and Micro Fire Stations
Xinghan Gong, Jun Liang, Yiping Zeng +3
Fire stations are among the most crucial emergency facilities in urban emergency control system in terms of their quick response to fires and other emergencies. Location plannings…
Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak
Simon James Fong, Gloria Li, Nilanjan Dey +2
Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and…
Composite Monte Carlo Decision Making under High Uncertainty of Novel Coronavirus Epidemic Using Hybridized Deep Learning and Fuzzy Rule Induction
Simon James Fong, Gloria Li, Nilanjan Dey +2
In the advent of the novel coronavirus epidemic since December 2019, governments and authorities have been struggling to make critical decisions under high uncertainty at their bes…
An Experimental Comparison of Map-like Visualisations and Treemaps
Patrick Cheong-Iao Pang, Robert P. Biuk-Aghai, Simon Fong +1
Treemaps have been used in information visualisation for over two decades. They make use of nested filled areas to represent information hierarchies such as file systems, library c…
Swarm Intelligence: Past, Present and Future
Xin-She Yang, Suash Deb, Yuxin Zhao +2
Many optimization problems in science and engineering are challenging to solve, and the current trend is to use swarm intelligence (SI) and SI-based algorithms to tackle such chall…
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…