Infectious disease modelling can serve as a powerful tool for situational awareness and
decision support for policy makers. However, COVID-19 modelling efforts faced many …

This paper presents an overview of some key results from a body of optimization studies that
are specifically related to COVID-19, as reported in the literature during 2020-2021. As …

This study aims to develop an assumption-free data-driven model to accurately forecast
COVID-19 spread. Towards this end, we firstly employed Bayesian optimization to tune the …

Creating steady models for predicting electricity load can enhance the equilibrium between
power supply and demand, a critical factor in advancing precise distribution management …

In the current scenario, novel coronavirus disease (COVID-19) spread is increasing day-by-
day. It is very important to control and cure this disease. Reverse transcription-polymerase …

The spread of COVID-19 has brought a huge disaster to the world, and the automatic
segmentation of infection regions can help doctors to make diagnosis quickly and reduce …

Accurate prediction of water quality indicators can effectively predict sudden water pollution
events and reveal them to water users for reducing the impact of water quality pollution …

The industrial process often shows nonstationary characteristic, such as time-varying mean
and variance, due to the unmeasured disturbances, adjustments of production plans …

Multivariate time series forecasting (MTSF) has gathered extensive attention in various
research areas. Many researchers leverage deep neural networks to explore spatial …

A sample blood test has recently become an important tool to help identify false-
positive/false-negative real-time reverse transcription polymerase chain reaction (rRT-PCR) …