Artificial intelligence (AI) and music production have transformed music production and
ushered in a new era of creativity. This comprehensive review examines an area of research …

The implementation of AI-based healthcare communication systems presents a significant
challenge for the development of cost-effective medical environments. Despite numerous …

In this study, we look at how XGBoost (Extreme Gradient Boosting) may be used in
healthcare predictive analytics to improve the speed and precision of illness detection …

Due to the quantization noise created by analog-to-digital converters (ADCs) with just one
bit of resolution, signal identification in Multiple-Input Multiple-Output (MIMO) systems is a …

The rapid adoption of software as a medical device (SAMD) driven by artificial intelligence
and machine learning has brought about a fundamental shift in the medical industry. This …

In many different fields, Support Vector Machines (SVMs) have shown to be an effective tool
for regression and classification problems. When using support vector machines (SVMs), the …

Skin cancer is a highly severe kind of cancer that poses an important threat to worldwide
health. Nevertheless, there is a significant possibility of decreasing the fatality rate if skin …

In recent years, medical diagnostics has increasingly relied on machine learning techniques
to improve accuracy and efficiency. Among these, the Random Forest algorithm has …

One of the most prevalent medical conditions that people have for a long time is skin
disease. The diagnosis of skin diseases is primarily based on the doctors' experience and …