Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …

Nowadays, spam emails represent a severe threat to security and cause a big waste in
transmission time and users' time spent in browsing unsolicited bulk emails (UBE). This is in …

Spam emails are unwanted and unsolicited messages. The major problems in email spam
detection methods are low detection rates and a high likelihood of false alarms. This study …

In this study, we propose a method named Semantic Graph Neural Network (SGNN) to
address the challenging task of email classification. This method converts the email …

Emailing is among the cheapest and most easily accessible platforms, and covers every
idea of the present century like banking, personal login database, academic information …

Detecting spam emails is essential to maintaining the security and integrity of email
communication. Existing research has made significant progress in developing effective …

In recent years, the utilization of AI in the field of cybersecurity has become more
widespread. Black-box AI models pose a significant challenge in terms of interpretability and …

This article proposes an improved Bayesian scheme by focusing on the region in which
Bayesian may fail to correctly identify labels and improve classification performance by …

Today, everyone uses official data via email. Spam is the number one subject on the
Internet. Emails containing spam from spammers are easy to send. Spam fills up our inboxes …

Email has sustained to be an essential part of our lives and as a means for better
communication on the internet. The challenge pertains to the spam emails residing a large …