Since air pollution negatively affects human health and causes serious diseases, accurate
air pollution prediction is essential regarding environmental sustainability. Although …

In recent years, global warming mitigation has received increasing attention. Reasonable
carbon prices in stable carbon markets can reduce greenhouse gas emissions. Therefore, to …

Air transportation is vital due to technological advancements and globalization. It is
affordable and accessible worldwide, providing efficient services to reach destinations …

G reen tides, a worldwide problem, are harmful to aquaculture, tourism, marine ecosystems,
and maritime traffic. Currently, green tide detection relies on remote sensing (RS) images …

Infrastructure projects often encounter performance challenges, such as cost overruns and
safety issues, due to complex risk interactions and systemic risks. Existing literature treats …

There are two primary methods to address metal oxide semiconductor sensor's poor
selectivity issues, dynamic testing and constructing sensor arrays. The integration of sensor …

In this study, we focus on the development and validation of a deep learning (long short-term
memory, LSTM)-based algorithm to predict the accidental spreading of LSFO (low sulfur fuel …

In this study, several machine learning (ML) models consisting of shallow learning (SL)
models (eg, random forest (RF), K-nearest neighbor (KNN), weighted K-nearest neighbor …

In the field of data engineering in machine learning (ML), a crucial component is the process
of scaling, normalization, and standardization. This process involves transforming data to …

Air pollution can have detrimental effects on human health as well as the environment.
Particulate Matter (PM), as a global issue, is a type of air pollution that consists of small …