Research graph
References from Machine vision-based dynamic settling monitoring for early warning of activated sludge bulking. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2012 · External reference
Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning
10.1016/j.jwpe.2024.105692 · 2024 · External reference
Sludge volume index settleability measures: effect of solids characteristics and test parameters
10.2175/106143098x126928 · 1998 · External reference
Towards sludge bulking diagnosis via dynamic attention graph neural network
10.1016/j.jwpe.2024.106774 · 2025 · External reference
Mill scale as a ballasted flocculant for enhancing the settleability of activated sludge
10.1016/j.jece.2020.104237 · 2020 · External reference
Settling velocity model of activated sludge
10.1016/0043-1354(93)90016-b · 1993 · External reference
Development of refined clarifier operating diagrams using an updated settling characteristics database
10.2175/106143095x131231 · 1995 · External reference
The relationship between SVI and activated sludge settling characteristics
1985 · External reference
Characteristics of microbial communities and extracellular polymeric substances during Thiothrix-induced sludge bulking process
10.1016/j.jece.2025.116105 · 2025 · External reference
AI-driven early warning of sludge bulking via microscopic image analysis: toward sustainable wastewater treatment
10.1021/acsestwater.5c00953 · 2025 · External reference
10.21203/rs.3.rs-2788235/v1
10.21203/rs.3.rs-2788235/v1 · External reference
Reliable tools to forecast sludge settling behavior: empirical modeling
10.3390/en16020963 · 2023 · External reference
Management strategy of granular sludge settleability in saline denitrification: insights from machine learning
10.1016/j.cej.2024.152747 · 2024 · External reference
Quantification of morphological characteristics and filamentous bacteria in activated-sludge flocs through quantitative image-analysis techniques incorporating image-processing software and U-Net deep-learning framework
10.1016/j.jwpe.2025.107053 · 2025 · External reference
Sludge volume index and suspended solids estimation of mature aerobic granular sludge by quantitative image analysis and chemometric tools
10.1016/j.seppur.2019.116049 · 2020 · External reference
Insight into sludge bulking in a full-scale wastewater treatment plant: quorum sensing, microbial community, and metabolic characteristics
10.1016/j.eti.2024.103562 · 2024 · External reference
Sludge bulking monitoring in industrial wastewater treatment plants through graphical methods: a dynamic graph embedding and Bayesian networks approach
10.1016/j.jenvman.2023.118804 · 2023 · External reference
Automatic control and optimal operation for greenhouse gas mitigation in sustainable wastewater treatment plants: a review
10.1016/j.scitotenv.2022.158849 · 2023 · External reference
A review of filamentous sludge bulking controls from conventional methods to emerging quorum quenching strategies
10.1016/j.watres.2023.119922 · 2023 · External reference
Monitoring of activated sludge settling ability through image analysis: validation on full-scale wastewater treatment plants
10.1007/s00449-008-0255-z · 2009 · External reference
The sludge index
1934 · External reference
Using image processing for determination of settled sludge volume
10.2166/wst.2018.315 · 2018 · External reference
Tracing morphological characteristics of activated sludge flocs by using a digital microscope and their effects on sludge dewatering and settling
10.1080/09593330.2023.2240026 · 2024 · External reference
Characterizing the settlement of activated sludge based on AI-assisted analysis of moving and still images
10.1021/acsestwater.5c00539 · 2025 · External reference
Automatic batch sedimentation test based on histogram back-projection image analysis
2021 · External reference
Dynamic calibration of a new secondary settler model using C and. Microthrix as a predictor of settling velocity
10.1016/j.watres.2023.120664 · 2023 · External reference
Densification of activated sludge for better settling performances: experimental characterization in batch column and model parameters calibration
10.2166/wst.2022.192 · 2022 · External reference
Deep learning-based morphology classification of activated sludge flocs in wastewater treatment plants
2021 · External reference
Density effects on activated sludge zone settling velocities
10.1016/j.watres.2007.01.011 · 2007 · External reference
New insight into filamentous sludge bulking: potential role of AHL-mediated quorum sensing in deteriorating sludge floc stability and structure
10.1016/j.watres.2022.118096 · 2022 · External reference
Activated sludge models at the crossroad of artificial intelligence—a perspective on advancing process modeling
10.1038/s41545-021-00106-5 · 2021 · External reference
Advancing sludge bulking control in wastewater treatment: a comprehensive review of detection, identification, and strategic interventions
2025 · External reference
A dynamic model of the clarification-thickening process
10.1016/0043-1354(91)90066-y · 1991 · External reference
Automation of sedimentation test
10.2166/wst.2018.076 · 2018 · External reference
Estimation of sludge sedimentation parameters from single batch settling curves
10.1016/s0043-1354(99)00158-x · 2000 · External reference
Development of settling flux curves using SVI
1988 · External reference
Digital twins for wastewater treatment: a technical review
10.1016/j.eng.2024.04.012 · 2024 · External reference
Dynamics in flocculation and settling properties studied at a full-scale activated sludge plant
10.2175/106143009x426004 · 2010 · External reference
Automatic visual detection of activated sludge microorganisms based on microscopic phase contrast image optimisation and deep learning
10.1111/jmi.13385 · 2025 · External reference
Effects of particle size on the zone settling velocity of activated sludge
10.1089/ees.2013.0509 · 2016 · External reference
A method for characterizing the complete settling process of activated sludge
10.1016/j.watres.2006.05.017 · 2006 · External reference
A zone settling velocity function to characterize settling properties of suspensions in thickening applications
10.1016/j.mineng.2021.107386 · 2022 · External reference
