Data normalization is a data preprocessing task and one of the first to be performed during
intellectual analysis, particularly in the case of tabular data. The importance of its …

The rise of intelligent systems and smart spaces has opened up new opportunities for
human–machine collaborations. Interactive Machine Learning (IML) contribute to fostering …

Given the current state of medical artificial intelligence (AI) and perceptions towards it,
collaborative systems are becoming the preferred choice for clinical workflows. This work …

Are consumers accepting AI-based products? What are the socio-demographics influencing
the adoption of these products? This study tests the potential users' social-demographic …

Featured Application Can be used in video surveillance systems for large groups of people.
Abstract Modern video surveillance systems mainly rely on human operators to monitor and …

Abstract The Artificial Intelligence has evolved and is now associated with Deep Learning,
driven by availability of vast amount of data and computing power. Traditionally, researchers …

We live in the era of large data analysis, where processing vast datasets has become
essential for uncovering valuable insights across various domains of our lives. Machine …

The production of biocompatible medical implants is accompanied by technological and
time costs. As a result, to be used in the human body, such a product must be of the highest …

Computational astronomy is a very important branch in today's era, where physicists or
researchers can use computers to process statistics in astronomical physics. researchers …

This paper discusses a specific problem in the study of deep neural networks-learning on
small data. Such issue happens in situation of transfer learning or applying known solutions …