With the development of bio-medical big data, the prediction of protein-protein interactions
(PPIs) with the help of deep learning (DL) has attracted much attention for the study of …

Genetic programming (GP) has emerged as a powerful tool over the past two decades,
leveraging evolutionary algorithms to navigate high-dimensional solution spaces effectively …

Identifying patients who may develop severe COVID-19 has been of interest to clinical
physicians since it facilitates personalized treatment and optimizes the allocation of medical …

Industrial waste pollution is a serious and systematic problem that harms the environment
and people. The development of cheap, simple, and efficient techniques to solve this …

Automatic programming (AP) is a subfield of artificial intelligence (AI) that can automatically
generate computer programs and solve complex engineering problems. This paper presents …

Medical diagnosis through prediction and analysis is par excellence in integrating modern
technologies such as the Internet of Things (IoT). With the aid of such technologies, clinical …

Automatic programming (AP) is one of the most attractive branches of artificial intelligence
because it provides effective solutions to problems with limited knowledge in many different …

We apply a soft computing method to generate country-specific economic sentiment
indicators that provide estimates of year-on-year GDP growth rates for 19 European …

Machine learning (ML) is commonly used to develop survival-predictive radiomic models in
non-small cell lung cancer (NSCLC) patients, which helps assist treatment decision making …

In response to the high incidence and poor prognosis of lung cancer, this study tends to
develop a generalizable lung-cancer prediction model by using machine learning to define …