Prognostic and health management (PHM) plays a vital role in ensuring the safety and
reliability of aircraft systems. The process entails the proactive surveillance and evaluation of …

Abstract Machine learning offers significant potential for lung cancer detection, enabling
early diagnosis and potentially improving patient outcomes. Feature extraction remains a …

Diabetes has become one of the most severe and prevalent chronic diseases, leading to life-
threatening, costly, and disabling consequences and reduced life expectancy. Uncontrolled …

Aiming at engine health management, a novel hybrid prediction method is proposed for
exhaust gas temperature (EGT) prediction of gas turbine engines. This hybrid model …

This research introduces the Enhanced Scale-Aware efficient Transformer (ESAE-
Transformer), a novel and advanced model dedicated to predicting Exhaust Gas …

Even if the Big Model/Big Data technologies give a chance that deals with large-scale
industrial problems, it has brought a huge demand for computing power. This cannot be …

Stock price forecasting is challenging because stock markets are volatile and nonlinear in
nature. With the impact of the Covid-19 outbreak in 2019, stock market forecasting has …

Lung cancer detection using machine learning involves training a model on a dataset of
medical images, such as CT scans, to identify patterns and features associated with lung …

Crude Oil is one of the world's most essential commodities, and its price greatly influences
the global economy. Both the public and corporate sectors place high importance on …

Monitoring the whole performance status of aircraft engines is of paramount importance for
ensuring flight safety, control system and prognostic health management. This work …