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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Dades bibliogràfiques
Autors principals: L. Syam Sundar, Hamad Almujibah, Abdullah H. Alshahri, Venkata Ramayya Ancha
Format: Article
Idioma:English
Publicat: IWA Publishing 2023-09-01
Col·lecció:Journal of Water Reuse and Desalination
Matèries:
carbon dots
carbon neutrality
binary spotted hyena optimizer (bsho)
internet of things (iot)
deep learning modified neural networks (dlmnn)
wastewater treatment systems
Accés en línia:http://wreuse.iwaponline.com/content/13/3/432

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

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