From exchanging budgetary instruments to tracking individual spending plans to detail a
business's profit, money-related organisations utilise computational innovation day by day …

Diabetes is a chronic disease that continues to be a significant and global concern since it
affects the entire population's health. It is a metabolic disorder that leads to high blood sugar …

This paper provides a comprehensive state-of-the-art investigation of the recent advances in
data science in emerging economic applications. The analysis is performed on the novel …

The use of machine learning algorithms for facial expression recognition and patient
monitoring is a growing area of research interest. In this study, we present a technique for …

Within the area of stock market prediction, forecasting price values or movements is one of
the most challenging issue. Because of this, the use of machine learning techniques in …

Medical diagnosis is always a time and a sensitive approach to proper medical treatment.
Automation systems have been developed to improve these issues. In the process of …

Stock market forecasting is one of the biggest challenges in the financial market since its
time series has a complex, noisy, chaotic, dynamic, volatile, and non-parametric nature …

In experimental analysis and computer‐aided design sustain scheme, segmentation of cell
liver and hepatic lesions by an automated method is a significant step for studying the …

Cancer is one of the top causes of mortality, and it arises when cells in the body grow
abnormally, like in the case of breast cancer. For people all around the world, it has now …

Stock market trends forecast is one of the most current topics and a significant research
challenge due to its dynamic and unstable nature. The stock data is usually non-stationary …