Artificial intelligence and machine learning-based monitoring and design of biological wastewater treatment systems
Artificial intelligence (AI) and machine learning (ML) are currently used in several areas. The
applications of AI and ML based models are also reported for monitoring and design of …
applications of AI and ML based models are also reported for monitoring and design of …
Machine learning: new ideas and tools in environmental science and engineering
The rapid increase in both the quantity and complexity of data that are being generated daily
in the field of environmental science and engineering (ESE) demands accompanied …
in the field of environmental science and engineering (ESE) demands accompanied …
Applications of artificial intelligence technologies in water environments: From basic techniques to novel tiny machine learning systems
M Bagheri, N Farshforoush, K Bagheri… - Process Safety and …, 2023 - Elsevier
Artificial intelligence (AI) and machine learning (ML) are novel techniques to detect hidden
patterns in environmental data. Despite their capabilities, these novel technologies have not …
patterns in environmental data. Despite their capabilities, these novel technologies have not …
[HTML][HTML] Investigating machine learning applications for effective real-time water quality parameter monitoring in full-scale wastewater treatment plants
U Safder, J Kim, G Pak, G Rhee, K You - Water, 2022 - mdpi.com
Environmental sensors are utilized to collect real-time data that can be viewed and
interpreted using a visual format supported by a server. Machine learning (ML) methods, on …
interpreted using a visual format supported by a server. Machine learning (ML) methods, on …
Machine learning-based prediction of effluent total suspended solids in a wastewater treatment plant using different feature selection approaches: A comparative study
Accurately predicting the characteristics of effluent, discharged from wastewater treatment
plants (WWTPs) is crucial for reducing sampling requirements, labor, costs, and …
plants (WWTPs) is crucial for reducing sampling requirements, labor, costs, and …
Prediction of purified water quality in industrial hydrocarbon wastewater treatment using an artificial neural network and response surface methodology
This study addresses the critical issue of determining the environmental impact of
wastewater discharged from a petroleum complex's wastewater treatment plant (WWTP) …
wastewater discharged from a petroleum complex's wastewater treatment plant (WWTP) …
[HTML][HTML] Sliding window neural network based sensing of bacteria in wastewater treatment plants
Ensuring the performance of wastewater treatment processes is important to guarantee that
the final treated wastewater quality is safe for reuse. However, bacterial concentration …
the final treated wastewater quality is safe for reuse. However, bacterial concentration …
Machine learning-based design and monitoring of algae blooms: Recent trends and future perspectives–A short review
AG Sheik, A Kumar, R Patnaik, S Kumari… - Critical Reviews in …, 2024 - Taylor & Francis
Abstract Machine learning (ML) models are widely used methods for analyzing data from
sensors and satellites to monitor climate change, predict natural disasters, and protect …
sensors and satellites to monitor climate change, predict natural disasters, and protect …
Estimation of biogas generation rate and carbon sequestration potential from two landfill sites in southern India
R Chandrasekaran, S Busetty - Environmental Science and Pollution …, 2023 - Springer
Anaerobic digestion of organic solid waste is one of the mechanisms for sustainable
development since it permits both the energy-efficient disposal of solid waste and the use of …
development since it permits both the energy-efficient disposal of solid waste and the use of …
Modeling of methylene blue removal on Fe3O4 modified activated carbon with artificial neural network (ANN)
E Altintig, TÖ Özcelik, Z Aydemir, D Bozdag… - International Journal …, 2023 - Taylor & Francis
In this study, AC/Fe3O4 adsorbent was first synthesized by modifying activated carbon with
Fe3O4. The structure of the adsorbent was then characterized using analysis techniques …
Fe3O4. The structure of the adsorbent was then characterized using analysis techniques …