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 …

This article surveys and organizes research works in a new paradigm in natural language
processing, which we dub “prompt-based learning.” Unlike traditional supervised learning …

Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …

We need a proper mechanism to manage issues related to our environment, economy, and
society to proceed toward sustainability. Many researchers have worked for sustainable …

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 …

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 …

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 …

Abstract Gradient Boosted Decision Trees (GBDT's) are a powerful tool for classification and
regression tasks in Big Data. Researchers should be familiar with the strengths and …