Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Costa, J. C.
Mesquita, D. P.
Amaral, A. L.
Alves, M. M.
and
Ferreira, E. C.
2013.
Quantitative image analysis for the characterization of microbial aggregates in biological wastewater treatment: a review.
Environmental Science and Pollution Research,
Vol. 20,
Issue. 9,
p.
5887.
Mesquita, Daniela P.
Amaral, A. Luís
and
Ferreira, Eugénio C.
2013.
Activated sludge characterization through microscopy: A review on quantitative image analysis and chemometric techniques.
Analytica Chimica Acta,
Vol. 802,
Issue. ,
p.
14.
Koivuranta, E.
Stoor, T.
Hattuniemi, J.
and
Niinimäki, J.
2015.
On-line optical monitoring of activated sludge floc morphology.
Journal of Water Process Engineering,
Vol. 5,
Issue. ,
p.
28.
Khan, Muhammad Burhan
Lee, Xue Yong
Nisar, Humaira
Ng, Choon Aun
Yeap, Kim Ho
and
Malik, Aamir Saeed
2015.
Signal and Image Analysis for Biomedical and Life Sciences.
Vol. 823,
Issue. ,
p.
227.
Leal, Cristiano
Amaral, António Luís
and
Costa, Maria de Lourdes
2016.
Microbial-based evaluation of foaming events in full-scale wastewater treatment plants by microscopy survey and quantitative image analysis.
Environmental Science and Pollution Research,
Vol. 23,
Issue. 15,
p.
15638.
Gnida, Anna
2017.
Use of DAIME for characterisation of activated sludge flocs.
Archives of Environmental Protection,
Vol. 43,
Issue. 4,
p.
66.
Koivuranta, Elisa
Suopajärvi, Terhi
Hattuniemi, Joni
Stoor, Tuomas
and
Illikainen, Mirja
2017.
The effect of seasonal variations on floc morphology in the activated sludge process.
Environmental Technology,
Vol. 38,
Issue. 24,
p.
3209.
Khan, Muhammad Burhan
Nisar, Humaira
and
Ng, Choon Aun
2018.
Image Processing and Analysis of Phase-Contrast Microscopic Images of Activated Sludge to Monitor the Wastewater Treatment Plants.
IEEE Access,
Vol. 6,
Issue. ,
p.
1778.
Alattabi, Ali W.
Harris, Clare B.
Alkhaddar, Rafid M.
Ortoneda-Pedrola, Montserrat
and
Alzeyadi, Ali T.
2019.
An investigation into the effect of MLSS on the effluent quality and sludge settleability in an aerobic-anoxic sequencing batch reactor (AASBR).
Journal of Water Process Engineering,
Vol. 30,
Issue. ,
p.
100479.
Leal, Cristiano
Val del Río, Angeles
Ferreira, Eugénio C.
Mesquita, Daniela
and
Amaral, António L.
2021.
Validation of a quantitative image analysis methodology for the assessment of the morphology and structure of aerobic granular sludge in the presence of pharmaceutically active compounds.
Environmental Technology & Innovation,
Vol. 23,
Issue. ,
p.
101639.
Govindaraju, Ranadive Ananth
Parivallal, Gayathri
Nagalingam, Arun
and
Devarajan, Sumitha
2022.
MLVSS / MLSS ratio’s standard value obtained from different aeration tank samples of different capacity sewage treatment plant - A case study.
Indian Journal of Microbiology Research,
Vol. 9,
Issue. 2,
p.
144.
Zhang, Jiawei
Li, Chen
Rahaman, Md Mamunur
Yao, Yudong
Ma, Pingli
Zhang, Jinghua
Zhao, Xin
Jiang, Tao
and
Grzegorzek, Marcin
2023.
A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements.
Archives of Computational Methods in Engineering,
Vol. 30,
Issue. 1,
p.
639.
Baum, Andreas
Moiseyenko, Rayisa
Glanville, Simon
and
Martini Jørgensen, Thomas
2024.
Image‐based characterization of flocculation processes through PLS inspired representation learning in convolutional neural networks.
Journal of Chemometrics,
Vol. 38,
Issue. 6,