In an increasingly digital world, there are fast-paced developments in fields such as Artificial
Intelligence, Machine Learning, Data Mining, Digital Twins, Cyber-Physical Systems and the …

During the past century, energy consumption and associated greenhouse gas emissions
have increased drastically due to a wide variety of factors including both technological and …

Incorporating phase change materials (PCMs) into cementitious composites has recently
attracted paramount interest. While it can enhance thermal characteristics and energy …

In this paper, we present a newly developed eXplainable artificial intelligence (XAI) model to
analyze the impacts of climate change on the cooling energy consumption (E c) in buildings …

Determining the quality of Ti-6Al-4V parts fabricated by selective laser melting (SLM)
remains a challenge due to the high cost of SLM and the need for expertise in processes …

Bearing fault diagnosis at early stage is very significant to ensure seamless operation of
induction motors in industrial environment. The identification and classification of faults …

The deterioration of a bridge's deck endangers its safety and serviceability. Ohio has
approximately 45,000 bridges that need to be monitored to ensure their structural integrity …

Growing demand for energy efficient buildings requires robust models to ensure efficient
performance over the evolving life cycle of the building. Energy management systems can …

Steep increases in air temperatures and CO 2 emissions have been associated with the
global demand for energy. This is coupled with population growth and improved living …

Abstract Machine Learning (ML) has made significant progress in several fields, and
materials science is no exception. ML models are popular in the materials science …