Brain-inspired multimodal approach for effluent quality prediction using wastewater surface images and water quality data

J Li, S Lin, L Zhang, Y Liu, Y Peng, Q Hu - Frontiers of Environmental …, 2024 - Springer
Efficiently predicting effluent quality through data-driven analysis presents a significant
advancement for consistent wastewater treatment operations. In this study, we aimed to …

Prediction of a full scale WWTP activated sludge SVI test using an LSTM neural network

E Kohen, N Farhi, Y Shavitt, H Mamane - … Science: Water Research & …, 2022 - pubs.rsc.org
Wastewater treatment (WWT) is a process used to remove contaminants from wastewater,
prevent pollution of water sources and improve sanitation conditions. The treated effluent is …

Pragmatic analysis of wastewater treatment methods from a statistical perspective

P Pande, A Bhagat - Water Practice & Technology, 2023 - iwaponline.com
Wastewater treatment is an environmental issue of the utmost importance. Pesticides,
industrial waste, chemical fertilizers, and radioactive waste are some of the causes for water …

Characterization of filamentous flocs to predict sedimentation parameters using image analysis

MA Molina, CAA Pérez, CA Leiva - Journal of Sensors, 2020 - Wiley Online Library
In wastewater treatment plants, the degradation of complex substances that contaminate
water is carried out by microorganisms, which are fixed by a network formed by filamentous …

Image segmentation of activated sludge phase contrast images using phase stretch transform

RBQ Ang, H Nisar, MB Khan, CY Tsai - Microscopy, 2019 - academic.oup.com
Activated sludge (AS) is a biological treatment process that is employed in wastewater
treatment plants. Filamentous bacteria in AS plays an important role in the settling ability of …

[HTML][HTML] Deep learning-based image analysis for filamentous and floc-forming bacteria in wastewater treatment

S Al-Ani, H Guo, S Fyfe, Z Long, S Donnaz… - Journal of Water Process …, 2024 - Elsevier
In municipal wastewater treatment, effective secondary clarification relies on the balance
between floc-forming bacteria and filamentous bacteria. Consequently, comprehensive and …

Image‐based characterization of flocculation processes through PLS inspired representation learning in convolutional neural networks

A Baum, R Moiseyenko, S Glanville… - Journal of …, 2024 - Wiley Online Library
Monitoring of flocculation processes such as those used in downstream processing of a
fermentation broth is essential for process control. One approach is to apply microscopic …

Development of image analysis methods for detecting nonhomogeneity and anomalies in the marine environment

IE Shishkin, AN Grekov - 2021 International Russian …, 2021 - ieeexplore.ieee.org
This paper presents a modified image and video analysis model designed to detect
nonhomogeneity and anomalies in the marine environment. Unlike known alternatives, the …

Comparison of Segmentation Performance of Activated Sludge Flocs Using Bright-Field and Phase-Contrast Microscopy at Different Magnifications

D Mahmood, H Nisar, KH Yeap… - … Series: Earth and …, 2021 - iopscience.iop.org
Activated sludge (AS) is a type of process which is commonly used for the treatment of
sewage and industrial wastewater. In this treatment process, the settling of the sludge flocs …

Quantitative Image Analysis as a Valuable Tool to Assess Aerobic Wastewater Treatment Systems

DP Mesquita, C Quintelas, AL Amaral… - Emerging …, 2023 - taylorfrancis.com
Monitoring biological wastewater treatment (WWT) is a fundamental task for improving
process performance and efficiency. Key physical, chemical, and operational parameters …