An algorithm for selecting a machine learning method for predicting nitrous oxide emissions in municipal wastewater treatment plants
B Szeląg, E Zaborowska, J Mąkinia - Journal of Water Process Engineering, 2023 - Elsevier
This study presents an advanced algorithm for selecting machine learning (ML) models for
nitrous oxide (N 2 O) emission prediction in wastewater treatment plants (WWTPs) …
nitrous oxide (N 2 O) emission prediction in wastewater treatment plants (WWTPs) …
Research on predicting early Fusarium head blight with asymptomatic wheat grains by micro-near infrared spectrometer
W Ba, X Jin, J Lu, Y Rao, T Zhang, XD Zhang… - … Acta Part A: Molecular …, 2023 - Elsevier
Fusarium head blight (FHB) is considered one of the most serious fungal diseases of wheat.
Fusarium resulted in yield losses and contamination of harvested grains with mycotoxins …
Fusarium resulted in yield losses and contamination of harvested grains with mycotoxins …
Fine-tuning the aeration control for energy-efficient operation in a small sewage treatment plant by applying biokinetic modeling
T Karches - Energies, 2022 - mdpi.com
Wastewater treatment is an energy-intensive process for treating liquid-phase pollutants in
urban settlements. The aerobic processes of the biological treatment involve a significant air …
urban settlements. The aerobic processes of the biological treatment involve a significant air …
[HTML][HTML] Multimodal machine learning guides low carbon aeration strategies in urban wastewater treatment
The potential for reducing greenhouse gas (GHG) emissions and energy consumption in
wastewater treatment can be realized through intelligent control, with machine learning (ML) …
wastewater treatment can be realized through intelligent control, with machine learning (ML) …
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 …
Advancements in machine learning modelling for energy and emissions optimization in wastewater treatment plants: A systematic review
T Abunama, A Dellieu, S Nonet - Water and Environment …, 2024 - Wiley Online Library
Wastewater treatment plants (WWTPs) are high‐energy consumers and major Greenhouse
Gas (GHG) emitters. This review offers a comprehensive global overview of the current …
Gas (GHG) emitters. This review offers a comprehensive global overview of the current …
[PDF][PDF] HYBRID MODELLING OF WASTEWATER TREATMENT PROCESSES
L Verhaeghe - 2023 - libstore.ugent.be
SUMMARY A hybrid model (HM) combines a mechanistic model based on physical process
knowledge with a data-driven component that learns from online sensor data. This thesis …
knowledge with a data-driven component that learns from online sensor data. This thesis …
[PDF][PDF] Fine-Tuning the Aeration Control for Energy-Efficient Operation in a Small Sewage Treatment Plant by Applying Biokinetic Modeling. Energies 2022, 15, 6113
T Karches - 2022 - academia.edu
Wastewater treatment is an energy-intensive process for treating liquid-phase pollutants in
urban settlements. The aerobic processes of the biological treatment involve a significant air …
urban settlements. The aerobic processes of the biological treatment involve a significant air …
[HTML][HTML] ОСОБЕННОСТИ РАСЧЕТА ВЕЛИЧИНЫ ФАКТОРА ОБНОВЛЕНИЯ ПОВЕРХНОСТИ ПУЗЫРЬКОВ ВОЗДУХА
СЮ Андреев, ЛВ Белова - Архитектура, строительство …, 2023 - cyberleninka.ru
Ресурсоемкость биологической очистки сточных вод снижается при повышении
энергоэффективности применяемых в аэротенке систем пневматической аэрации …
энергоэффективности применяемых в аэротенке систем пневматической аэрации …