Supervised learning algorithms have shown limited use in the field of anomaly detection due
to the unpredictability and difficulty in acquiring abnormal samples. In recent years …

Transactions related to vehicles include manufacturing, buying, selling, paying insurance
(takaful), obtaining regular inspection, leasing a vehicle from banks, getting in an accident …

In recent years, pruning methods have been proposed to reduce the size of image
classification models based on CNNs and to shorten their inference times. However, most of …

This review article reviews some previous work in the literature about using deep learning
techniques for recognizing fake notes from the real notes. A human-visual system can be …

In this study, we address the hologram authenticity challenge by introducing a novel deep-
learning based end-to-end hologram verification system. The system ultimately makes the …

Counterfeiting of banknotes is still a severe crime problem in many countries. One of the
most significant issue for solving the crime is to classify the counterfeit types and identify the …

The widespread use of the Internet and the tremendous growth of social media have
enabled people to connect with each other worldwide. Individuals are free to express …

Identifying counterfeit banknotes is crucial in financial transactions, as the process of
identification cannot be handled by ATMs or vending machines. The recent developments in …

Vehicular ad hoc networks (VANETs) are intelligent transport subsystems; vehicles can
communicate through a wireless medium in this system. There are many applications of …

Advanced laser printing technology is now widely used in daily life and at work. Because
laser printers are so easy to obtain and use, they have also become a popular method for …