The growth of the construction industry is severely limited by the myriad complex challenges
it faces such as cost and time overruns, health and safety, productivity and labour shortages …

Research in the field of high-entropy alloys has been surging since the 2010s. As widely
acknowledged, research interests in this field are largely sparked by the enormous …

Decision tree classifiers are regarded to be a standout of the most well-known methods to
data classification representation of classifiers. Different researchers from various fields and …

Monocular 3D object detection is a key problem for autonomous vehicles, as it provides a
solution with simple configuration compared to typical multi-sensor systems. The main …

Abstract Machine learning and data mining-based approaches to prediction and detection of
heart disease would be of great clinical utility, but are highly challenging to develop. In most …

Antimicrobial peptides (AMPs) are distributed across all kingdoms of life and are an
indispensable component of host defenses. They consist of predominantly short cationic …

Breast cancer is the second leading cause of death for women, so accurate early detection
can help decrease breast cancer mortality rates. Computer-aided detection allows …

The application of artificial intelligence is machine learning which is one of the current topics
in the computer field as well as for the new COVID-19 pandemic. Researchers have given a …

The smart grid is enabling the collection of massive amounts of high-dimensional and multi-
type data about the electric power grid operations, by integrating advanced metering …

As the scourge of “fake news” continues to plague our information environment, attention
has turned toward devising automated solutions for detecting problematic online content …