Cybercrimes are cases of indictable offences and misdemeanors that involve computers or
communication tools as targets and commission instruments or are associated with the …

The amount of digital data in the universe is growing at an exponential rate with the rapid
development of digital information, and this reveals new machine learning methods …

Diabetes is a common chronic illness or absence of sugar in the blood. The early detection
of this disease decreases the serious risk factor. Nowadays, Machine Learning based cloud …

Over the last few decades, pattern classification has become one of the most important fields
of artificial intelligence because it constitutes an essential component in many different real …

With the rapid development of digital information, the data volume generated by humans
and machines is growing exponentially. Along with this trend, machine learning algorithms …

Today's computer network security systems like IDS, firewall, access control, etc., are not yet
100% trusted, Still they are suffering from the high classification error. Therefore, there is …

Today, machine learning plays a significant role in the classification of healthcare
conditions. Machine learning is the process of finding, discovering, and modeling massive …

In this paper, a modification to the simple fuzzy min-max classifier has been proposed. The
primary objective was the design of an efficient classifier that can be used in a wide range of …

In this paper, an Evolutionary Decision Tree based Intrusion Detection System (IDS) has
been proposed which is based on the concept of decision tree (DT) and genetic algorithm …

В связи с ростом объема обрабатываемой информации и внедрением систем
искусственного интеллекта в критически важные сферы деятельности, адаптация в …