The recent advances of e-commerce and e-payment systems have sparked an increase in
financial fraud cases such as credit card fraud. It is therefore crucial to implement …

Malicious attacks are becoming more prevalent due to the growing use of Internet of Things
(IoT) devices in homes, offices, transportation, healthcare, and other locations. By …

To provide remote access, surveillance, and analysis, network integration is common in
Cyber-Physical Systems (CPSs). This leads to cyber attacks due to the integration of …

Nowadays, one of the most serious ethical challenges in the financial arena is payment card
skimming. Payment card fraud comes in many forms. It is a major and long-term menace to …

In classification problems, the datasets often have many unrelated or redundant features.
The unrelated or redundant features may deteriorate the performance of classifier. Feature …

In the field of automatic recognition and classification of Activities of Daily Living (ADLs), a
paramount role to determine the classification accuracy is played by sensor technologies, as …

Online condition monitoring and predictive maintenance are crucial for the safe operation of
equipments. This paper highlights an unsupervised statistical algorithm based on principal …

In recent years, conventional artificial method leads to low efficiency in the classification of
cervical cell, which requires professional completion. Therefore, the classification process is …

This project proposes a simple and smart question answering system using Named Entity
Recognition (NER) and Bidirectional Encoder Representations from Transformers (BERT) …

The internet of things (IoT) has gained great importance due to its applicability in various
daily life applications and its flexible and scalable framework. The wide and spreading use …