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Desalination and Water Treatment Volume 57, 2016 - Issue 37
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Articles

Prediction of sludge volume index bulking using image analysis and neural network at a full-scale activated sludge plant

Halime BoztoprakAkseki Vocational School Computer Program, Akdeniz University, Antalya, Turkey, Tel. +90 5068270597; Fax: +90 2426781355Correspondence[email protected]
,
Yüksel ÖzbayDepartment of Electrical Electronics Engineering, Selcuk University, Campus, 42031Konya, Turkey, Tel. +90 3322232048Correspondence[email protected]
,
Dünyamin GüçlüDepartment of Environmental Engineering, Selcuk University, Campus, 42031Konya, Turkey, Tel. +90 3322232069Correspondence[email protected]
&
Murat KüçükhemekWater and Sewarage Administration General Directorate, KOSKİ, Konya, Turkey, Tel. +90 5052162321Correspondence[email protected]
Pages 17195-17205 | Received 13 Nov 2014, Accepted 13 Aug 2015, Published online: 07 Sep 2015

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Muhammad Burhan Khan, Humaira Nisar, Choon Aun Ng, Po Kim Lo & Vooi Voon Yap. (2018) Generalized classification modeling of activated sludge process based on microscopic image analysis. Environmental Technology 39:1, pages 24-34.
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Articles from other publishers (17)

Junchen Li, Sijie Lin, Liang Zhang, Yuheng Liu, Yongzhen Peng & Qing Hu. (2023) Brain-inspired multimodal approach for effluent quality prediction using wastewater surface images and water quality data. Frontiers of Environmental Science & Engineering 18:3.
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Majid Bahramian, Recep Kaan Dereli, Wanqing Zhao, Matteo Giberti & Eoin Casey. (2023) Data to intelligence: The role of data-driven models in wastewater treatment. Expert Systems with Applications 217, pages 119453.
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Wei Xu & Lie Xu. (2022) Characteristics of different swimming styles of swimming events based on artificial neural network data acquisition system. Neural Computing and Applications 35:6, pages 4337-4352.
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Efrat Kohen, Nitzan Farhi, Yuval Shavitt & Hadas Mamane. (2022) Prediction of a full scale WWTP activated sludge SVI test using an LSTM neural network. Environmental Science: Water Research & Technology 8:11, pages 2786-2795.
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Praewa Wongburi & Jae K. Park. (2022) Prediction of Sludge Volume Index in a Wastewater Treatment Plant Using Recurrent Neural Network. Sustainability 14:10, pages 6276.
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Ahmed Elaraby, Walid Hamdy, Humaira Nisar & Monagi H. Alkinani. (2022) Segmentation of Activated Sludge Flocs in Microscopic Images for Monitoring Wastewater Treatment. Complexity 2022, pages 1-10.
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W. Ashane M. Fernando, Sabeeha N. B. A. Khadaroo & Phaik Eong Poh. 2022. Artificial Intelligence and Environmental Sustainability. Artificial Intelligence and Environmental Sustainability 45 85 .
Burcu ÇAĞLAR GENÇOSMAN & Gizem EKER ŞANLI. (2021) ARITMA ÇAMURLARINDA POLİSİKLİK AROMATİK HİDROKARBONLARIN (PAH’LARIN) GİDERİMLERİNİN VERİ MADENCİLİĞİ YÖNTEMLERİ İLE TAHMİNİ. Uludağ University Journal of The Faculty of Engineering, pages 233-252.
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Burcu Caglar Gencosman & Gizem Eker Sanli. (2021) Prediction of Polycyclic Aromatic Hydrocarbons (PAHs) Removal from Wastewater Treatment Sludge Using Machine Learning Methods. Water, Air, & Soil Pollution 232:3.
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Nashia Deepnarain, Mahmoud Nasr, Sheena Kumari, Thor A. Stenström, Poovendhree Reddy, Kriveshin Pillay & Faizal Bux. (2020) Artificial intelligence and multivariate statistics for comprehensive assessment of filamentous bacteria in wastewater treatment plants experiencing sludge bulking. Environmental Technology & Innovation 19, pages 100853.
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Bartosz Szeląg, Jakub Drewnowski, Grzegorz Łagód, Dariusz Majerek, Ewa Dacewicz & Francesco Fatone. (2020) Soft Sensor Application in Identification of the Activated Sludge Bulking Considering the Technological and Economical Aspects of Smart Systems Functioning. Sensors 20:7, pages 1941.
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Mehmet Bakır, Şekip Dalgaç, Emin Ünal, Faruk Karadağ, Mustafa Demirci, Ahmet Sertol Köksal, Oğuzhan Akgöl & Muharrem Karaaslan. (2019) High Sensitive Metamaterial Sensor for Water Treatment Centres. Water, Air, & Soil Pollution 230:12.
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Hong-Gui Han, Hong-Xu Liu, Zheng Liu & Jun-Fei Qiao. (2019) Fault detection of sludge bulking using a self-organizing type-2 fuzzy-neural-network. Control Engineering Practice 90, pages 27-37.
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Jiuyuan Huo & Zheng Zhang. (2018) Application of an Improved ABC Algorithm in Urban Land Use Prediction. Information 9:8, pages 193.
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Muhammad Burhan Khan, Humaira Nisar & Choon Aun Ng. (2018) Image Processing and Analysis of Phase-Contrast Microscopic Images of Activated Sludge to Monitor the Wastewater Treatment Plants. IEEE Access 6, pages 1778-1791.
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Bartosz Szeląg, Jarosław Gawdzik & Jan Studziński. 2018. Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017. Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017 324 335 .
Muhammad Burhan Khan, Humaira Nisar, Choon Aun Ng, Kim Ho Yeap & Koon Chun Lai. (2017) Segmentation Approach Towards Phase-Contrast Microscopic Images of Activated Sludge to Monitor the Wastewater Treatment. Microscopy and Microanalysis 23:6, pages 1130-1142.
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