Deep learning, which is originated from an artificial neural network (ANN), is one of the
major technologies of today's smart cybersecurity systems or policies to function in an …

A popular unsupervised learning method, known as clustering, is extensively used in data
mining, machine learning and pattern recognition. The procedure involves grou** of …

Lifelong learning represents an emerging machine learning paradigm that aims at designing
new methods providing accurate analyses in complex and dynamic real-world …

One of the main concerns associated with deep underground constructions is the violent
expulsion of rock induced by unexpected release of strain energy from surrounding rock …

Analytical data processing has become the cornerstone of today's businesses success, and
it is facilitated by Big Data platforms that offer virtually limitless scalability. However …

How to design an efficient method to handle mixed-attribute data classification (MADC)
problems has become a hot topic in data mining and machine learning. Current MADC …

Recent advances in medical imaging and deep learning have enabled the efficient analysis
of large databases of images. Notable examples include the analysis of computed …

Lifelong learning addresses the challenge of acquiring new knowledge and tackling new
tasks in a continually evolving environment. Although this thread of research has recently …

Gang saw is widely used in the dimension stone industry and stone cutting factories. One of
the important factors in evaluating the efficiency of a machine is the electrical current …

The concept of rough tolerance set is introduced within growing self-organizing map
(GSOM) to reduce the uncertainty in decision-making by develo** a new algorithm …