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Real-Time Machine Learning and Wireless Sensor Network for Coastal Water Quality Monitoring in the Gulf of Aqaba Cover

Real-Time Machine Learning and Wireless Sensor Network for Coastal Water Quality Monitoring in the Gulf of Aqaba

Ecological Chemistry and Engineering S
Volume 32 (2025): Issue 3 (September 2025)
By: Ahmed Bdour and  Raha M. Alkharabsheh  
Open Access
|Oct 2025

Authors

Ahmed Bdour

bdour@hu.edu.jo

Department of Civil Engineering, Faculty of Engineering, The Hashemite University, Jordan

Raha M. Alkharabsheh

Raha.alkharabsheh@alumnos.upm.es

R&I Centre for the Conservation of Biodiversity and Sustainable Development (CBDS), Faculty of Forestry and Natural Environment Engineering, Technical University of Madrid, Spain
DOI: https://doi.org/10.2478/eces-2025-0016 | Journal eISSN: 2084-4549 | Journal ISSN: 1898-6196
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Language: English
Page range: 335 - 352
Published on: Oct 10, 2025
Published by: Society of Ecological Chemistry and Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
marine water quality monitoring,
real-time remote monitoring,
wireless sensor networks,
machine learning predictive modelling,
GIS-based spatial analysis,
Red Sea ecosystem management
Related subjects:
Chemistry,
Sustainable and green chemistry,
Engineering,
Electrical engineering,
Energy engineering,
Life sciences,
Ecology

© 2025 Ahmed Bdour, Raha M. Alkharabsheh, published by Society of Ecological Chemistry and Engineering
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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