During the current post-epidemic period, hygiene requirements and health needs in the
hospitality industry keep increasing, and consumers become more concerned about the …

The incursion of social media in our lives has been much accentuated in the last decade.
This has led to a multiplication of data mining tools aimed at obtaining knowledge from these …

Abstract Research on Coronavirus Disease 2019 (COVID-19) detection methods has
increased in the last months as more accurate automated toolkits are required. Recent …

MRI image segmentation is widely used in clinical practice as a prerequisite and a key for
diagnosing brain tumors. The quest for an accurate automated segmentation method for …

During the last years, many research efforts have been devoted to the definition of Fall
Detection Systems (FDSs) that benefit from the inherent computing, communication and …

This paper explores the use of social network analysis (SNA) on airlines' online social
networks (OSNs) to extract valuable information for decision support, by analyzing …

Recent advances both in hardware and software have facilitated the embedded intelligence
(EI) research field, and enabled machine learning and decision-making integration in …

In smart buildings, many different systems work in coordination to accomplish their tasks. In
this process, the sensors associated with these systems collect large amounts of data …

The processing capabilities of biological vision systems are still vastly superior to artificial
vision, even though this has been an active area of research for over half a century. Current …

Accurately predicting the pairing order of bases in RNA molecules is essential for
anticipating RNA secondary structures. Consequently, this task holds significant importance …