Deep learning and artificial intelligence in sustainability: a review of SDGs, renewable energy, and environmental health
Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in
driving sustainability across various sectors. This paper reviews recent advancements in AI …
driving sustainability across various sectors. This paper reviews recent advancements in AI …
Recent advances in information and communications technology (ICT) and sensor technology for monitoring water quality
Water quality control and management in water resources are important for providing clean
and safe water to the public. Due to their large area, collection, analysis, and management …
and safe water to the public. Due to their large area, collection, analysis, and management …
Water quality classification using machine learning algorithms
Monitoring water quality is essential for protecting human health and the environment and
controlling water quality. Artificial Intelligence (AI) offers significant opportunities to help …
controlling water quality. Artificial Intelligence (AI) offers significant opportunities to help …
[HTML][HTML] Robust machine learning algorithms for predicting coastal water quality index
Coastal water quality assessment is an essential task to keep “good water quality” status for
living organisms in coastal ecosystems. The Water quality index (WQI) is a widely used tool …
living organisms in coastal ecosystems. The Water quality index (WQI) is a widely used tool …
A hybrid model for water quality prediction based on an artificial neural network, wavelet transform, and long short-term memory
J Wu, Z Wang - Water, 2022 - mdpi.com
Clean water is an indispensable essential resource on which humans and other living
beings depend. Therefore, the establishment of a water quality prediction model to predict …
beings depend. Therefore, the establishment of a water quality prediction model to predict …
[Retracted] Water Quality Prediction Using Artificial Intelligence Algorithms
During the last years, water quality has been threatened by various pollutants. Therefore,
modeling and predicting water quality have become very important in controlling water …
modeling and predicting water quality have become very important in controlling water …
Analysis and prediction of water quality using deep learning and auto deep learning techniques
DVV Prasad, LY Venkataramana, PS Kumar… - Science of the Total …, 2022 - Elsevier
Natural water sources like ponds, lakes and rivers are facing a great threat because of
activities like discharge of untreated industrial effluents, sewage water, wastes, etc. It is …
activities like discharge of untreated industrial effluents, sewage water, wastes, etc. It is …
A study on water quality prediction by a hybrid CNN-LSTM model with attention mechanism
Y Yang, Q **ong, C Wu, Q Zou, Y Yu, H Yi… - … Science and Pollution …, 2021 - Springer
The water environment plays an essential role in the mangrove wetland ecosystem.
Predicting water quality will help us better protect water resources from pollution, allowing …
Predicting water quality will help us better protect water resources from pollution, allowing …
Artificial Intelligence based Models to Support Water Quality Prediction using Machine Learning Approach
The purpose of this study is to simulate the propagation of bio-contamination risk in Water
Distribution System (WDS). This will be accomplished by putting an emphasis on source …
Distribution System (WDS). This will be accomplished by putting an emphasis on source …
TLT: Recurrent fine-tuning transfer learning for water quality long-term prediction
L Peng, H Wu, M Gao, H Yi, Q **ong, L Yang, S Cheng - Water Research, 2022 - Elsevier
The water quality long-term prediction is essential to water environment management
decisions. In recent years, although water quality prediction methods based on deep …
decisions. In recent years, although water quality prediction methods based on deep …