Artificial intelligence (AI) holds significant promise for advancing natural disaster
management through the use of predictive models that analyze extensive datasets, identify …

This study offers a review of machine learning (ML) applications in membrane bioreactor
(MBR) systems, an emerging technology in advanced wastewater treatment. The review …

To improve the accuracy of bearing fault diagnosis in a multisensor monitoring environment,
it is necessary to obtain more accurate and effective fault classification features for bearings …

Sensor malfunctions in wastewater treatment plants (WWTPs) significantly disrupt process
control and energy usage, highlighting the critical need for effective sensor fault diagnosis …

Abstract Metal-organic framework (MOF)-based adsorptive hydrogen storage holds promise
for enhancing the sustainable design of hydrogen storages by enhancing the usable …

In alignment with climate change mitigation plans, renewable and sustainable energy
integration into the industrial sector should be investigated for decarbonization purposes by …

Monitoring total nitrogen (TN) and total phosphorus (TP) concentrations in rivers is essential
to assess the water quality and control the eutrophication risk. However, the online …

High nonlinearity and dispersion in response to the numerous influencing elements of
membrane pollution, lead to challenges in diagnosing and other issues. To increase the …

Hydrogen energy storage systems (HESSs) are vital for enhancing the resilience of energy
systems and coping with the intermittency of renewable energy sources. However, their …

Complete data on wastewater quality are essential for managing and monitoring wastewater
treatment processes. Most management and monitoring methods involve the use of …