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AI and Deep Learning Applications for Water Management

Special Issue Information

Dear Colleagues,

Water is an essential source for survival for humans, animals, and plants. Due to rise in population of humans and also due to industrialization, water sources are being depleted very quickly. To minimize water depletion, efffective water management is the need of the hour. Normally, governments supply water to their citizens. A continous supply of water is not required for the household as the water may be wasted by suppplying the water continuously. Each household may use water at a specific time. Machine learning and deep learning algorithms can use the data regarding the water usage patterns/records from the government to get trained on the usage patterns, so that these algorithms may be used to classify the areas according to their peak usage time. If these patterns are successfully identified, then the Government bodies can understand at what time and what quantity of the water is required for a particular area, through which we can reduce the waste of water. The aim of this Special Issue is to solicit quality research works on effective water management using machine learning and deep learning techniques.

Dr. Celestine Iwendi
Prof. Dr. Thippa Reddy Gadekallu
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 100 words) can be sent to the Editorial Office for announcement on this website.

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.

Keywords

  • machine learning
  • deep learning
  • water management
  • smart city
  • water usage patterns

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Published Papers