Bayesian approaches turn out to be inefficient when decision making involves many
uncertain, imprecise or unreliable sources of information. The same problem occurs in …

Due to the huge rise in the number of vehicles, manual tracking has become a complex task.
To deal with this issue, Automatic License Plate Recognition systems have been developed …

Federated learning emerges as a key technology, allowing decentralized model training in
Internet of Healthcare Things (IoHT). This aims to preserve data privacy and accommodates …

As the electric vehicle market is growing, so does the effects of electric vehicles on the grid.
This growth is an incentive to improve and expand the charging infrastructure. To make the …

Intrusion Detection Systems (IDS) are now an essential element when it comes to securing
computers and networks. Despite the huge research efforts done in the field, handling …

In this paper, we tackle the problem of multidimensional (multi-attribute) data classification
based on belief functions theory. The interest of such approaches relies on considering a …

Fake news is a severe problem in today's society. It is becoming more widespread and more
difficult to detect. The use of social media has created new trends in how most people …

Fake news is a severe problem in today's society. It is becoming more widespread and more
difficult to detect. The use of social media has created new trends in how most people …

The use of the hidden Markov chain model for image classification has known a
considerable success. The interest of Markovian modeling of images is the consideration of …

Abstract Theory of evidence has been successfully used in many areas covering pattern
recognition and image processing due to its effectiveness in both information fusion and …