Assessment of carbon neutrality in waste water treatment systems through deep learning algorithm

Assessment of carbon neutrality in waste water treatment systems through deep learning algorithm

Around the world, it is growing harder to provide clean and safe drinking water. In wastewater treatment, sensors are employed, and the Internet of Things (IoT) is used to transmit data. Chemical oxygen demand (COD), biochemical demand (BOD), total nitrogen (T-N), total suspended solids (TSS), and p...

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Bibliographic Details
Main Authors: L. Syam Sundar, Hamad Almujibah, Abdullah H. Alshahri, Venkata Ramayya Ancha
Format: Article
Language:English
Published: IWA Publishing 2023-09-01
Series:Journal of Water Reuse and Desalination
Subjects:
carbon dots
carbon neutrality
binary spotted hyena optimizer (bsho)
internet of things (iot)
deep learning modified neural networks (dlmnn)
wastewater treatment systems
Online Access:http://wreuse.iwaponline.com/content/13/3/432

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http://wreuse.iwaponline.com/content/13/3/432

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