TY - JOUR
T1 - Artificial Intelligence in Water Desalination
T2 - 15th International Conference on Materials Processing and Characterization, ICMPC 2023
AU - Mahadeva, Rajesh
AU - Patel, Vivek
AU - Ghosh, Abhijeet
AU - Dixit, Saurav
AU - Suthar, Bhivraj
AU - Gupta, Vinay
AU - Awaar, Vinay Kumar
AU - Bharadwaj, Y. V.
AU - Gupta, Manish
AU - Haranatti, Jagadish Shrisaila
AU - Arora, Rishab
N1 - Publisher Copyright:
© 2023 EDP Sciences. All rights reserved.
PY - 2023/10/6
Y1 - 2023/10/6
N2 - 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.
AB - 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.
KW - Artificial intelligence (AI)
KW - artificial neural network (ANN)
KW - Global Sustainability
KW - Scopus database
KW - water desalination
UR - http://www.scopus.com/inward/record.url?scp=85175435145&partnerID=8YFLogxK
U2 - 10.1051/e3sconf/202343001193
DO - 10.1051/e3sconf/202343001193
M3 - Conference article
AN - SCOPUS:85175435145
SN - 2555-0403
VL - 430
JO - E3S Web of Conferences
JF - E3S Web of Conferences
M1 - 01193
Y2 - 5 September 2023 through 8 September 2023
ER -