Machine learning framework for wastewater circular economy—Towards smarter nutrient recoveries
As the world's supply chains become disrupted through geopolitical instability and the race
towards a net-zero future, policies have been implemented to improve the security of certain …
towards a net-zero future, policies have been implemented to improve the security of certain …
Predicting tunnel water inflow using a machine learning-based solution to improve tunnel construction safety
A Mahmoodzadeh, H Ghafourian… - Transportation …, 2023 - Elsevier
Water inflow is a typical and complicated geological hazard that may have a significant effect
on both the building timeline and the safety of a tunnel under construction. Therefore …
on both the building timeline and the safety of a tunnel under construction. Therefore …
Ensemble XGBoost schemes for improved compressive strength prediction of UHPC
XGBoost is a promising machine learning method capable of predicting essential concrete
properties and enhancing advanced concrete design. However, its underlying version still …
properties and enhancing advanced concrete design. However, its underlying version still …
Predictive modeling of BOD throughout wastewater treatment: A generalizable machine learning approach for improved effluent quality
Biochemical oxygen demand (BOD) is one of the most sensitive and essential indicators of
wastewater quality. However, today, BOD detection methods require considerable effort and …
wastewater quality. However, today, BOD detection methods require considerable effort and …
[HTML][HTML] Innovative Approaches for Minimizing Disinfection Byproducts (DBPs) in Water Treatment: Challenges and Trends
Growing concerns over public health and environmental safety have intensified the focus on
minimizing harmful disinfection byproducts (DBPs) in water treatment. Traditional methods …
minimizing harmful disinfection byproducts (DBPs) in water treatment. Traditional methods …
Machine learning techniques to predict the fundamental period of infilled reinforced concrete frame buildings
A Yahiaoui, S Dorbani, L Yahiaoui - Structures, 2023 - Elsevier
Predicting the structure's fundamental period is a challenging task since its value changes
when the features of buildings change. However, it is more cumbersome for reinforced …
when the features of buildings change. However, it is more cumbersome for reinforced …
Enhancing BOD5 Forecasting Accuracy with the ANN-Enhanced Runge Kutta Model
This study enhances the prediction of biochemical oxygen demand (BOD5), a vital water
quality parameter, by developing hybrid artificial neural network models integrated with …
quality parameter, by developing hybrid artificial neural network models integrated with …
[HTML][HTML] Prediction of the removal of solid suspensions and chemical oxygen demand from a pharmaceutical wastewater plant using a neural network approach
This study aimed to model the removal efficiency of chemical oxygen demand (COD) and
solid suspension (SS) from a real pharmaceutical wastewater treatment plant (WWTP) using …
solid suspension (SS) from a real pharmaceutical wastewater treatment plant (WWTP) using …
Analysis of water quality by comprehensive pollution index (CPI) and self-purification capacity of Shinta River, Ethiopia
YA Mekonnen, HM Tekeba - Sustainable Water Resources Management, 2024 - Springer
Shinta River is one of the tributaries of the Megech River basin and is used for various
purposes. However, the river is affected by Dashen Brewery effluents and municipal waste …
purposes. However, the river is affected by Dashen Brewery effluents and municipal waste …
Enhancing wastewater treatment through artificial intelligence: A comprehensive study on nutrient removal and effluent quality prediction
With over 80% of the world's wastewater discharged without treatment and 2 billion people
lacking access to adequate sanitation facilities, optimizing sewage treatment processes is …
lacking access to adequate sanitation facilities, optimizing sewage treatment processes is …