Artificial Intelligence in Water Desalination: A Novel Approach for Global Sustainability

Rajesh Mahadeva, Vivek Patel, Abhijeet Ghosh, Saurav Dixit, Bhivraj Suthar, Vinay Gupta, Vinay Kumar Awaar, Y. V. Bharadwaj, Manish Gupta, Jagadish Shrisaila Haranatti, Rishab Arora

    Research output: Contribution to journalConference articlepeer-review

    Abstract

    Artificial intelligence (AI) is an efficient technique frequently used to tackle practical issues in various engineering and medical fields. Apart from different areas, water desalination is essential in surviving humans, animals, and plants. It is a crucial industry for a sustainable planet, and we cannot live without water. As a result, engineers and researchers are quite active in this area. Recent studies based on Elsevier's Scopus database demonstrate how automation using emerging technologies has enhanced the traditional desalination process. AI offers enormous potential to address numerous problems and real-time optimization procedures. According to Elsevier's Scopus database, water desalination has extensively used AI optimization tools, especially after 2010, such as artificial neural networks (ANN), genetic algorithms (GA), fuzzy logic, and natural swarm global optimization techniques to improve water quality and quantity. Finally, it was determined that AI technologies would surely pave the way for better operation, water resource management, and process automation in the water sector in an increasingly unstable climate.

    Original languageBritish English
    Article number01193
    JournalE3S Web of Conferences
    Volume430
    DOIs
    StatePublished - 6 Oct 2023
    Event15th International Conference on Materials Processing and Characterization, ICMPC 2023 - Newcastle, United Kingdom
    Duration: 5 Sep 20238 Sep 2023

    Keywords

    • Artificial intelligence (AI)
    • artificial neural network (ANN)
    • Global Sustainability
    • Scopus database
    • water desalination

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