Tackling climate change with machine learning
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
Data mining in predictive maintenance systems: A taxonomy and systematic review
Predictive maintenance is a field of study whose main objective is to optimize the timing and
type of maintenance to perform on various industrial systems. This aim involves maximizing …
type of maintenance to perform on various industrial systems. This aim involves maximizing …
3D printing for membrane desalination: Challenges and future prospects
Recent years have shown a growing interest in the field of 3D printing for applications in the
area of water treatment and desalination. The applications for 3D printing are applicable on …
area of water treatment and desalination. The applications for 3D printing are applicable on …
Investigation of the factors affecting reverse osmosis membrane performance using machine-learning techniques
Several factors affecting the RO membrane performance can be investigated mainly in two
groups; feed characteristics and operational parameters. In this work, the effect of feed …
groups; feed characteristics and operational parameters. In this work, the effect of feed …
Assessment of stormwater quality in the context of traffic congestion: a case study in Egypt
The aim of this study was to investigate the effect of traffic congestion in urbanized areas
(parking lots and highways) on stormwater quality. Three separate locations in Egypt's …
(parking lots and highways) on stormwater quality. Three separate locations in Egypt's …
A field-deployable water quality monitoring with machine learning-based smartphone colorimetry
Water quality monitoring is an increasing global concern as the pollution of water sources
causes adverse effects on economic growth and human health. Traditional approaches to …
causes adverse effects on economic growth and human health. Traditional approaches to …
[HTML][HTML] Reliability analysis of reverse osmosis filtration system using copula
AS Maihulla, I Yusuf - Reliability: Theory & Applications, 2022 - cyberleninka.ru
In this study, the reliability metrics used to assess the strength of a three-subsystem reverse
osmosis filtering system. The subsystems include sand filter, carbonated filter, and precision …
osmosis filtering system. The subsystems include sand filter, carbonated filter, and precision …
Estimation of photocatalytic degradation rate using smartphone based analysis
N Danyliuk, T Tatarchuk… - Physics and Chemistry of …, 2020 - journals.pnu.edu.ua
A simple approach to test photocatalyst activity has been described. Photocatalytic
degradation of a model dye was measured using a smartphone. The color changes were …
degradation of a model dye was measured using a smartphone. The color changes were …
[HTML][HTML] Applications of artificial intelligence for membrane separation: A review
M Jafari, C Tzirtzipi, B Castro-Dominguez - Journal of Water Process …, 2024 - Elsevier
Abstract The incorporation of Artificial Intelligence (AI) techniques into membrane-based
systems has transformed their design, optimization, and management in various fields …
systems has transformed their design, optimization, and management in various fields …
Solvothermal synthesis of nanoscale disc-like gadolinium doped magnesium zirconate for highly efficient photocatalytic degradation of rhodamine B in water
Highly ordered nanoscale disc-like cubic gadolinium doped magnesium zirconate (Gd:
MgZrO 3) was synthesized by facile solvothermal route. The reaction time was found to be …
MgZrO 3) was synthesized by facile solvothermal route. The reaction time was found to be …