Adaptive self-calibrated soft sensor for reliable nutrient measurement in rivers: Two-stage stacked autoencoder with densely connected fusion network-Reference-Cited by-同舟云学术

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Adaptive self-calibrated soft sensor for reliable nutrient measurement in rivers: Two-stage stacked autoencoder with densely connected fusion network

Published:2024-06 Issue: Volume:63 Page:105494
ISSN:2214-7144
Container-title:Journal of Water Process Engineering
language:en
Short-container-title:Journal of Water Process Engineering

Author:

Ba-Alawi Abdulrahman H.,Aamer Hanaa,Al-masni Mohammed A.,Yoo ChangKyoo

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Ministry of SMEs and Startups

Publisher

Elsevier BV

Reference34 articles.

1. Surrogate measures for providing high frequency estimates of total phosphorus concentrations in urban watersheds;Viviano;Water Res.,2014

2. Process assessment of a full-scale wastewater treatment plant using reliability, resilience, and econo-socio-environmental analyses (R2ESE);Ba-Alawi;Process Saf. Environ. Prot. Trans. Inst. Chem. Eng. Part B.,2020

3. Emerging tools for continuous nutrient monitoring networks: sensors advancing science and water resources protection;Pellerin;J. Am. Water Resour. Assoc.,2016

4. Towards the review of the European Union Water Framework management of chemical contamination in European surface water resources;Brack;Sci. Total Environ.,2017

5. Application of least-squares support vector machines for quantitative evaluation of known contaminant in water distribution system using online water quality parameters;Wang;Sensors,2018

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