[HTML][HTML] Net-zero carbon condition in wastewater treatment plants: A systematic review of mitigation strategies and challenges
The wastewater sector accounts for up to 7 and 10% of anthropogenic CH 4 and N 2 O
emissions, respectively. Nowadays wastewater treatment plants are going through a …
emissions, respectively. Nowadays wastewater treatment plants are going through a …
Review on machine learning-based bioprocess optimization, monitoring, and control systems
Abstract Machine Learning is quickly becoming an impending game changer for
transforming big data thrust from the bioprocessing industry into actionable output. However …
transforming big data thrust from the bioprocessing industry into actionable output. However …
A review of artificial intelligence in water purification and wastewater treatment: Recent advancements
Artificial intelligence (AI) is an emerging powerful novel technology that can model real-time
problems involving numerous intricacies. The modeling capabilities of AI techniques are …
problems involving numerous intricacies. The modeling capabilities of AI techniques are …
Artificial intelligence foundation and pre-trained models: Fundamentals, applications, opportunities, and social impacts
A Kolides, A Nawaz, A Rathor, D Beeman… - … Modelling Practice and …, 2023 - Elsevier
With the emergence of foundation models (FMs) that are trained on large amounts of data at
scale and adaptable to a wide range of downstream applications, AI is experiencing a …
scale and adaptable to a wide range of downstream applications, AI is experiencing a …
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) …
Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting …
Groundwater level prediction is important for effective water management. Accurately
predicting groundwater levels allows decision-makers to make informed decisions about …
predicting groundwater levels allows decision-makers to make informed decisions about …
Contribution of nitrous oxide to the carbon footprint of full-scale wastewater treatment plants and mitigation strategies-a critical review
H Yao, X Gao, J Guo, H Wang, L Zhang, L Fan… - Environmental …, 2022 - Elsevier
Abstract Nitrous oxide (N 2 O), a potent greenhouse gas, significantly contributes to the
carbon footprint of wastewater treatment plants (WWTPs) and contributes significantly to …
carbon footprint of wastewater treatment plants (WWTPs) and contributes significantly to …
Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique
SS Swain, TK Khura, PK Sahoo, KA Chobhe… - Scientific Reports, 2024 - nature.com
An accurate assessment of nitrate leaching is important for efficient fertiliser utilisation and
groundwater pollution reduction. However, past studies could not efficiently model nitrate …
groundwater pollution reduction. However, past studies could not efficiently model nitrate …
Simultaneous sensor fault diagnosis and reconstruction for intelligent monitoring in wastewater treatment plants: An explainable deep multi-task learning model
Sensor malfunctions in wastewater treatment plants (WWTPs) significantly disrupt process
control and energy usage, highlighting the critical need for effective sensor fault diagnosis …
control and energy usage, highlighting the critical need for effective sensor fault diagnosis …
Development of local and global wastewater biochemical oxygen demand real-time prediction models using supervised machine learning algorithms
This study aims to shed light on a new understanding of global machine-learning (ML)
prediction models for wastewater treatment plants (WWTPs). The paper evaluates the …
prediction models for wastewater treatment plants (WWTPs). The paper evaluates the …