Deep learning models have revolutionized numerous fields, yet their decision-making
processes often remain opaque, earning them the characterization of “black-box” models …

The evaluation of auto insurance risks is a fundamental task for financial institutions, crucial
for setting equitable premiums and managing risks effectively. Traditional machine learning …

The strip crown plays a crucial role in determining the quality of products in strip hot rolling.
Machine learning (ML) methods have shown promise in crown prediction by effectively …

Explainable artificial intelligence (XAI) is a group of techniques and evaluations that allows
users to understand artificial intelligence knowledge and increase the reliability of the results …

Currently, the research efforts on machining indices such as tool wear, surface roughness,
power consumption etc. is well reported in literature, but energy analysis based on material …

The modern vehicle insurance industry is increasingly adopting Pay-As-You-Drive (PAYD)
insurance models, aligning premium costs with driving behavior. Our study introduces a …

This study demonstrates how Machine Learning techniques and Big Data Analytics can be
used in the insurance sector. Due to various web technologies, mobile devices, and sensor …

Dust pollution poses significant risks to human health, air quality, and food safety,
necessitating the identification of dust occurrence and the development of dust susceptibility …

The pervasive issue of cheating in educational tests has emerged as a paramount concern
within the realm of education, prompting scholars to explore diverse methodologies for …

Cybersecurity is one of the important considerations when adopting IoT devices in smart
applications. Even though a huge volume of data is available, data related to attacks are …