An effective integrated control with intelligent optimization for wastewater treatment process-Reference-Cited by-同舟云学术

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An effective integrated control with intelligent optimization for wastewater treatment process

Published:2021-12 Issue: Volume:24 Page:100237
ISSN:2452-414X
Container-title:Journal of Industrial Information Integration
language:en
Short-container-title:Journal of Industrial Information Integration

Author:

Li Fei,Su Zhong,Wang Gong-ming

Publisher

Elsevier BV

Subject

Information Systems and Management,Industrial and Manufacturing Engineering

Reference55 articles.

1. Effect of ammonia nitrogen and dissolved organic matter fractions on the genotoxicity of wastewater effluent during chlorine disinfection;Wang;Environ. Sci. Technol.,2007

2. Industrial information integration-A literature review 2006-2015;Chen;J. Ind. Inf. Integr.,2016

3. A survey on industrial information integration 2016-2019;Chen;J. Ind. Integr. Manag.,2020

4. Industrial information integration–an emerging subject in industrialization and informatization process;Xu;J. Ind. Inf. Integr.,2020

5. Enterprise Integration and Information Architecture: A Systems Perspective on Industrial Information Integration;Xu,2014

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Set-Based Discrete Particle Swarm Optimization for Wastewater Treatment Process Effluent Scheduling;IEEE Transactions on Cybernetics;2024-09

2. Adaptive Robust Fuzzy Sliding Mode Control for Wastewater Treatment Processes;IEEE Transactions on Fuzzy Systems;2024-08

3. A binary-level hybrid intelligent control configuration for sustainable energy consumption in an activated sludge biological wastewater treatment plant;Journal of Water Process Engineering;2024-08

4. A Deep-Learning-Based Data-Management Scheme for Intelligent Control of Wastewater Treatment Processes Under Resource-Constrained IoT Systems;IEEE Internet of Things Journal;2024-08-01

5. Optimizing wastewater treatment plant operational efficiency through integrating machine learning predictive models and advanced control strategies;Process Safety and Environmental Protection;2024-08

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