All systems operational
Q1 2024

Real-time water quality monitoring using AI-enabled sensors: Detection of contaminants and UV disinfection analysis in smart urban water systems

Yeliz Durgun
10.1016/j.jksus.2024.103409 393 Views 52 Citations
52
Citations
393
Views
Abstract not available for this publication.
Cite this Article (APA)
Yeliz, D. (2024). Real-time water quality monitoring using AI-enabled sensors: Detection of contaminants and UV disinfection analysis in smart urban water systems. Journal of King Saud University - Science. https://doi.org/10.1016/j.jksus.2024.103409
Related Papers
Surface properties enhancements by optimizing synthesizing parameters of AA8026 + Zr2O3/TiO2 hybrid …
Ravi Kumar Saidala; Archana T; Alias Paul; Naresh Kumar Reddy; T. Sathish; Abdul · 2024
149
cites
397
A comparative review of processing methods for graphene-based hybrid filler polymer composites and e…
Zulfiqar Ali; Saba Yaqoob; Jinhong Yu; Alberto D’Amore; M. Fakhar-e-Alam · 2024
49
cites
400
Environmental pollutants particulate matter (PM2.5, PM10), Carbon Monoxide (CO), Nitrogen dioxide (N…
Sultan Ayoub Meo; Mustafa A Salih; Joud Mohammed Alkhalifah; Abdulaziz Hassan Al · 2024
45
cites
402
Introducing novel <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.svg" display=…
Lakhlifa Sadek; Dumitru Baleanu; Mohammed S. Abdo; Wasfi Shatanawi · 2024
33
cites
399
Biosynthesis of copper nanoparticles using Bacillus flexus and estimation of their potential for dec…
Fatima Batool; Muhammad Shahid; Faisal Mahmood; Tanvir Shahzad; Farrukh Azeem; S · 2024
31
cites
395
Access
View Full Text via DOI
Published in
ISSN 1018-3647
Quartile Q1
AMS Score 87
Field Natural Sciences
Publisher Scientific Scholar
Country 🇸🇦 Saudi Arabia
View Journal Profile →
Authors
Publication Details
Year 2024
Language English
Added 31 Jul 2026