Abstract Machine learning (ML) methods can be leveraged to prevent the spread of deadly
infectious disease outbreak (eg, COVID-19). This can be done by applying machine learning …

Machine and deep learning-based algorithms are the emerging approaches in addressing
prediction problems in time series. These techniques have been shown to produce more …

Forecasting time series data is an important subject in economics, business, and finance.
Traditionally, there are several techniques to effectively forecast the next lag of time series …

The complex, unpredictable nature of pathogen occurrence has required substantial efforts
to accurately predict infectious diseases (IDs). With rising popularity of Machine Learning …

The ongoing COVID-19 pandemic has caused worldwide socioeconomic unrest, forcing
governments to introduce extreme measures to reduce its spread. Being able to accurately …

Crude oil plays an important role in the world economy and contributes to more than one
third of energy consumption worldwide. The better forecasting of its fluctuating price is …

Forecasting time series data is an important subject in economics, business, and finance.
Traditionally, there are several techniques to effectively forecast the next lag of time series …

Infectious diseases are caused by microorganisms belonging to the class of bacteria,
viruses, fungi, or parasites. These pathogens are transmitted, directly or indirectly, and can …

In recent years, there has been an increasing interest in the application of machine learning
for the prediction of pavement performance. Prediction models are used to predict the future …

Financial time-series forecasting has long been a challenging problem because of the
inherently noisy and stochastic nature of the market. In the high-frequency trading …