Forward-looking sonar is one of the essential imaging equipment used in exploring
underwater targets. However, it is always challenging to detect targets from sonar images …

Obesity and laziness are some of the common issues in the majority of the youth today. This
has led to the development of a proposed exergaming solution where users can play first …

Insect pests pose a significant and increasing threat to agricultural production worldwide.
However, most existing recognition methods are built upon well-known convolutional neural …

The preservation and digitization of historical data are crucial for ensuring the continuity and
accessibility of information over successive generations. The present study investigates the …

Abstract Background and objectives Bidirectional Encoder Representations from
Transformers (BERT) word embedding models have been successfully used for many …

A vital problem tackled in the network analysis literature is community structure identification
in social networks. There are many solutions to the community detection problem …

The perception of hunger and satiety is of great importance to maintaining a healthy body
weight and avoiding chronic diseases such as obesity, underweight, or deficiency …

In this paper, we develop a novel ensemble model for seismic building damage prediction
that leverages machine learning algorithms of two completely different mechanisms, tree …

Potato Verticillium wilt is a harmful and widespread disease which causes losses between
20% and 50% of crop production in Colombia. Diagnostics of Verticillium wilt in potato crops …

The emotional impact of the COVID‐19 pandemic and ensuing social restrictions has been
profound, with widespread negative effects on mental health. We made use of the natural …