Application of artificial intelligence tools in wastewater and waste gas treatment systems: Recent advances and prospects
The non-linear complex relationships among the process variables in wastewater and waste
gas treatment systems possess a significant challenge for real-time systems modelling. Data …
gas treatment systems possess a significant challenge for real-time systems modelling. Data …
A Deep Learning-Based Data Management Scheme for Intelligent Control of Wastewater Treatment Processes Under Resource-Constrained IoT Systems
Effective data management schemes have always been the major demand in universal
industrial Internet of Things (IoT) systems, especially in resource-constrained scenarios. In …
industrial Internet of Things (IoT) systems, especially in resource-constrained scenarios. In …
Artificial intelligence and machine learning for the optimization of pharmaceutical wastewater treatment systems: a review
V Ganthavee, AP Trzcinski - Environmental Chemistry Letters, 2024 - Springer
The access to clean and drinkable water is becoming one of the major health issues
because most natural waters are now polluted in the context of rapid industrialization and …
because most natural waters are now polluted in the context of rapid industrialization and …
Simulating imprecise data: sine–cosine and convolution methods with neutrosophic normal distribution
M Aslam - Journal of Big Data, 2023 - Springer
Objective The primary aim of this research paper is to introduce and demonstrate the
application of the sine–cosine method and the convolution method for simulating data by …
application of the sine–cosine method and the convolution method for simulating data by …
A new approach to optimizing aeration using XGB-Bi-LSTM via the online monitoring of oxygen transfer efficiency and oxygen uptake rate
Z Ao, H Li, J Chen, J Yuan, Z Xia, J Zhang… - Environmental …, 2023 - Elsevier
In wastewater treatment plants (WWTPs), aeration is vital for microbial oxygen needs. To
achieve carbon neutrality, optimizing aeration for energy and emissions reduction is …
achieve carbon neutrality, optimizing aeration for energy and emissions reduction is …
[HTML][HTML] Robustness estimation for state-of-charge of a lithium-ion battery based on feature fusion
B Xia, M Ye, Q Wang, G Lian, Y Li, B Zhang, Y Zhang - Energy Reports, 2024 - Elsevier
State of charge (SOC) of the lithium-ion battery stands as one of the crucial parameters of
the battery management system. To enhance the robustness and accuracy of data-driven …
the battery management system. To enhance the robustness and accuracy of data-driven …
Development of machine learning model for the sustainable phycoremediation of municipal wastewater
This study explored the application of artificial intelligence/machine learning (AI/ML)
techniques to model the interaction of 19 water quality parameters with respect to the …
techniques to model the interaction of 19 water quality parameters with respect to the …
[HTML][HTML] Effluent quality soft sensor for wastewater treatment plant with ensemble sparse learning-based online next generation reservoir computing
G Fang, D Huang, Z Wu, Y Chen, Y Li, Y Liu - Water Research X, 2024 - Elsevier
Real-time monitoring of key quality variables is essential and crucial for stable and safe
operations of wastewater treatment plants (WWTPs). Next generation reservoir computing …
operations of wastewater treatment plants (WWTPs). Next generation reservoir computing …
Bioremediation Potential of Endophytes: a Promising Tool
S Digra, S Nonzom - Applied Biochemistry and Microbiology, 2024 - Springer
In the modern era of human progress and industrialization, various agricultural and
industrial activities lead to the accumulation of excessive hazardous substances in the …
industrial activities lead to the accumulation of excessive hazardous substances in the …