In recent years, global warming, characterised as the regular rise in Earth's temperature, has
drawn significant attention due to the ongoing increase in sea levels caused by the melting …

Abstract Land Remote Sensing data analysis presents a distinctive Artificial Intelligence (AI)
research paradigm bolstered through its rich collection of data, which are high-dimensional …

Intelligent English online classroom real-time feedback system based on the remote
computer monitoring algorithms is studied in the paper. The computer monitoring system …

In this paper, the utility and accuracy of Machine Learning (ML) and Deep Learning (DL)
methods are investigated for detecting defects in civil aircraft engines. Rather than to …

Floods are one of the leading causes of damage, prompting mortality and substantial
destruction to the structure and total economy of the affected nations. Remote sensing …

Over the years the change in global climatic conditions, like the greenhouse effect, and
global warming have led to sudden increases in natural disasters mostly weather, climates …

A exploração de massas minerais e pedreiras pode, por vezes, causar instabilidade no
terreno próximo, aumentando o risco para a segurança pública. Para mitigar esses riscos, a …

Floods are recurrent natural disasters that require effective management strategies for post-
disaster recovery. This systematic literature review aims to comprehensively analyze the …

In our quest to explore the transformative impact of technology on the renovation and
construction sectors, we continue with the RINNO blog series focusing on the open-access …