Deep learning (DL) is becoming a fast-growing field in the medical domain and it helps in
the timely detection of any infectious disease (IDs) and is essential to the management of …

Deep Learning (DL) is currently transforming health services by significantly improving early
cancer diagnosis, drug discovery, protein–protein interaction analysis, and gene editing …

Solar energy is highly economical and widespread in new energy applications, and
analyzing solar radiation information is an important part of solar photovoltaic power …

Background COVID-19 is a disease that caused a contagious respiratory ailment that killed
and infected hundreds of millions. It is necessary to develop a computer-based tool that is …

Early illness detection enables medical professionals to deliver the best care and increases
the likelihood of a full recovery. In this work, we show that computer-aided design (CAD) …

Coronavirus disease (COVID-19) has had a significant impact on global health since the
start of the pandemic in 2019. As of June 2022, over 539 million cases have been confirmed …

In large-scale power systems, accurately detecting and diagnosing the type of faults when
they occur in the grid is a challenging problem. The classification performance of most …

The worldwide spread of the coronavirus illness has led to the requirement of creating
machine-based technologies to identify the diseases. The worldwide pandemic caused by …

Electricity price forecasting (EPF) is a complex task due to market volatility and nonlinearity,
which cause rapid and unpredictable fluctuations and introduce heteroscedasticity in …

The management and decision-making of the ship** market rely heavily on the accurate
forecasting of the China Containerized Freight Index (CCFI); however, this is still a …