Industrial 6G-IoT and Machine-Learning-Supported Intelligent Sensing Framework for Indicator Control Strategy in Sewage Treatment Process-Reference-Cited by-同舟云学术

Industrial 6G-IoT and Machine-Learning-Supported Intelligent Sensing Framework for Indicator Control Strategy in Sewage Treatment Process

Published:2024-09-15 Issue:18 Volume:11 Page:29308-29320
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Guo Zhiwei¹^ORCID,Shen Yu¹^ORCID,Chakraborty Chinmay²^ORCID,Alblehai Fahad³,Yu Keping⁴^ORCID

Affiliation:

1. Chongqing Key Laboratory of Intelligent Perception and Blockchain Technology, School of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, China

2. Electronics & Communication Engineering Department, Birla Institute of Technology—Mesra, Ranchi, India

3. Computer Science Department, Community College, King Saud University, Riyadh, Saudi Arabia

4. Graduate School of Science and Engineering, Hosei University, Tokyo, Japan

Funder

Researchers Supporting Project, King Saud University, Riyadh, Saudi Arabia

Humanities and Social Sciences Research Project of the Ministry of Education

Natural Science Foundation of Chongqing Municipality

Chongqing University Innovation Group Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6488907/10660568/10599544.pdf?arnumber=10599544

Reference34 articles.

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4. IoT Innovations in Sustainable Water and Wastewater Management and Water Quality Monitoring: A Comprehensive Review of Advancements, Implications, and Future Directions

5. A Deep-Learning-Based Data-Management Scheme for Intelligent Control of Wastewater Treatment Processes Under Resource-Constrained IoT Systems