The Internet of Medical Things (IoMT), an application of the Internet of Things (IoT) in the
medical domain, allows data to be transmitted across communication networks. In particular …

Since the onset of the COVID-19 pandemic, there has been a growing interest in studying
epidemiological models. Traditional mechanistic models mathematically describe the …

Accurate time series forecasting is crucial in various fields, including finance, economics,
healthcare, transportation, and energy. Recently, deep learning methods have gained …

Since the end of 2019 the COVID-19 repeatedly surges with most countries/territories
experiencing multiple waves, and mechanism-based epidemic models played important …

The COVID-19 pandemic has had a significant impact on both the United Arab Emirates
(UAE) and Malaysia, emphasizing the importance of developing accurate and reliable …

Solar energy is an unlimited and sustainable energy source that holds great importance
during the global shift towards environmentally friendly energy production. However …

Introduction Few artificial intelligence models exist to predict severe forms of COVID-19.
Most rely on post-infection laboratory data, hindering early treatment for high-risk …

The outbreak and subsequent recurring waves of COVID− 19 pose threats on the
emergency management and people's daily life, while the large-scale spatio-temporal …

During the COVID-19 pandemic, control measures, especially massive contact tracing
following prompt quarantine and isolation, play an important role in mitigating the disease …

Multivariate time series are usually sequences of real-valued variables recorded at regular
intervals. Forecasting them poses significant challenges due to their inherent noise and …