Machine-Learning-Based Water Quality Monitoring

Dear Colleagues,

Since the dawn of civilization, societies have developed technologies to improve daily life. Today, information technology represents a driving force in societal evolution, fostering accelerated progress and innovation. High-quality water resources are vital to society and rely on emerging technologies and information systems for improving the quality of service and monitoring solutions. Nonetheless, the pursuit of smart water initiatives must harmoniously prioritize both societal well-being and environmental sustainability for developing intelligent environments.

This Special Issue gathers research papers, reviews, and contributions from experts at the intersection of machine learning and environmental science and aims to address the following key inquiries:

• To what extent can water quality management be facilitated by machine learning techniques?
• How can intelligent monitoring solutions be integrated in the context of water infrastructure?
• How can machine learning support high-quality, proactive, and personalized services for humans?

We are pleased to invite you to contribute original research based on machine learning techniques and their applications focused on our most vital resource—water. The primary goal is to provide a comprehensive overview of recent advancements, methodologies, and case studies related to the utilization of machine learning for monitoring and managing water quality, including, but not limited to, the following:

• Machine learning and deep learning solutions for smart water quality monitoring;
• The integration of machine learning within smart water infrastructure;
• Decision support and data-driven solutions for water quality management.

Dr. Alexandru Predescu
Prof. Dr. Mariana Mocanu
Dr. Elena Simona Apostol
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.