Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Cryptographic APIs are essential for ensuring the security of software systems. However, many research studies have revealed that the misuse of cryptographic APIs is commonly widespread. Detecting ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

This paper presents a comprehensive performance analysis of various machine learning algorithms for the prediction of thyroid disease, considering both binary and multi-class classification scenarios.