Data to intelligence: The role of data-driven models in wastewater treatment
Increasing energy efficiency in wastewater treatment plants (WWTPs) is becoming more
important. An emerging approach to addressing this issue is to exploit development in data …
important. An emerging approach to addressing this issue is to exploit development in data …
Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater …
Wastewater treatment is an important step for pollutant reduction and the promotion of water
environment quality. The complexity of natural conditions, influent shock, and wastewater …
environment quality. The complexity of natural conditions, influent shock, and wastewater …
On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction
Accurate pan evaporation (E pan) prediction is a critical issue in water resources
management, particularly when designing and managing rural water resource systems, and …
management, particularly when designing and managing rural water resource systems, and …
New empirical equations to assess energy efficiency of flow-dissipating vortex dropshaft
M Najafzadeh, M Mahmoudi-Rad - Engineering Applications of Artificial …, 2024 - Elsevier
Vortex structures are generally considered the common energy-dissipating infrastructures in
order to convey urban surface waters. During transferring wastewater in such urban …
order to convey urban surface waters. During transferring wastewater in such urban …
[HTML][HTML] An artificial neural network-particle swarm optimization (ANN-PSO) approach to predict the aeration efficiency of venturi aeration system
In the present study, the artificial neural network-particle swarm optimization (ANN-PSO)
approach was adopted for optimizing the standard aeration efficiency (SAE) of the venturi …
approach was adopted for optimizing the standard aeration efficiency (SAE) of the venturi …
Application of soft computing approaches to predict gabion weir oxygen aeration efficiency
KM Luxmi, NK Tiwari, S Ranjan - ISH Journal of Hydraulic …, 2023 - Taylor & Francis
Aeration is a physical process through which air is brought into contact with water, and
thereby both times of contact and contact area between water and air are enhanced. Gabion …
thereby both times of contact and contact area between water and air are enhanced. Gabion …
An ensemble decomposition-based artificial intelligence approach for daily streamflow prediction
M Rezaie-Balf, S Fani Nowbandegani, SZ Samadi… - Water, 2019 - mdpi.com
Accurate prediction of daily streamflow plays an essential role in various applications of
water resources engineering, such as flood mitigation and urban and agricultural planning …
water resources engineering, such as flood mitigation and urban and agricultural planning …
Decision Tree-Based Modeling of the Aeration Effectiveness of Circular Plunging Jets
D Puri, D Lee, DV Khankal, MS Thakur, FM Alfaisal… - ACS …, 2023 - ACS Publications
Since soft computing has gained a lot of attention in hydrological studies, this study focuses
on predicting aeration efficiency (E 20) using circular plunging jets employing soft computing …
on predicting aeration efficiency (E 20) using circular plunging jets employing soft computing …
[HTML][HTML] Residual energy evaluation in vortex structures: on the application of Machine Learning Models
M Najafzadeh, M Mahmoudi-Rad - Results in Engineering, 2024 - Elsevier
Vortex structures are widely employed for energy dissipation in urban surface water
conveyance systems. When transporting wastewater through these networks, a substantial …
conveyance systems. When transporting wastewater through these networks, a substantial …
Tree-based nonlinear ensemble technique to predict energy dissipation in stepped spillways
Ö Ekmekcioğlu, EE Başakın… - European Journal of …, 2022 - Taylor & Francis
In this study, under the skimming flow regime, energy dissipation was investigated with data-
driven methods. The data set obtained from the laboratory experiments were modelled by …
driven methods. The data set obtained from the laboratory experiments were modelled by …