Advancing Nutrient Removal and Resource Recovery Through Artificial Intelligence: A Comprehensive Analysis and Future Perspectives · CHRIST (Deemed To Be University) Institutional Repository

Title: Advancing Nutrient Removal and Resource Recovery Through Artificial Intelligence: A Comprehensive Analysis and Future Perspectives
Description: Springer Water Vol.Part F3340 pp.83-116
Creator: Hemanth K.S.; Deepika T.; Lakshmi V.
Source: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202513607&doi=10.1007%2f978-3-031-67237-8_4&partnerID=40&md5=075d127bbfdc3782ba701281ccae418c
Date: 2024-01-01

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Citation

Hemanth K.S.; Deepika T.; Lakshmi V., “Advancing Nutrient Removal and Resource Recovery Through Artificial Intelligence: A Comprehensive Analysis and Future Perspectives,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/8359.

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