Spacers are integral to the operation of membrane systems for both structural purposes and
improving mass transfer dynamics that drive water permeation at the cost of increased …

The latest industrial revolution, Industry 4.0, is progressing exponentially and targets to
integrate artificial intelligence and machine learning algorithms with existing technology to …

With the advent of the big data era, data-driven analysis to realize the mining of internal laws
of data has gradually become a developmental trend in sewage management and decision …

Transforming a vast array of candidate materials into membranes with suitable
morphologies and improved molecular separation performance is an arduous and costly …

This paper proposes a physics-based machine learning model to analyze the safety and
reliability of solid propellant casting molding processes. The model identifies the relationship …

Ecological risk assessment of contaminated sediment has become a fundamental
component of water quality management programs, supporting decision-making for …

Environmental sensors are utilized to collect real-time data that can be viewed and
interpreted using a visual format supported by a server. Machine learning (ML) methods, on …

Economically viable water treatment process plants for drinking water purification are a
prerequisite for sustainable supply of safe drinking water in the future. However, modern …

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 …

The importance of good water quality for human use and consumption can never be
underestimated, and its quality is determined through effective monitoring of the water …