[HTML][HTML] Water quality prediction using LSTM with combined normalizer for efficient water management

N Mahesh, JJ Babu, K Nithya, SA Arunmozhi - Desalination and Water …, 2024 - Elsevier
Predicting water quality is a significant area of study in the field of smart water technology,
since it may provide valuable assistance in managing and mitigating water pollution. Due to …

Deep learning based an effective hybrid model for water quality assessment

A Utku, ED Utku, B Kutlu - Water Environment Research, 2023 - Wiley Online Library
Water, which is very important for life and civilizations on Earth, has been a source of life for
all living things. However, freshwater resources gradually decrease due to climate change …

Predicting and forecasting water quality using deep learning

A Debow, S Shweikani… - International Journal of …, 2023 - inderscienceonline.com
During the last years, obtaining water with acceptable quality for human consumption or
even for agricultural applications is a big challenge in many places around the world. Water …

A multivariate water quality parameter prediction model using recurrent neural network

D Dheda, L Cheng - arXiv preprint arXiv:2003.11492, 2020 - arxiv.org
The global degradation of water resources is a matter of great concern, especially for the
survival of humanity. The effective monitoring and management of existing water resources …

Modelling and prediction of water quality by using artificial intelligence

M Hmoud Al-Adhaileh, F Waselallah Alsaade - Sustainability, 2021 - mdpi.com
Artificial intelligence methods can remarkably reduce costs for water supply and sanitation
systems and help ensure compliance with the quality of drinking and wastewater treatment …

A novel approach for water quality classification based on the integration of deep learning and feature extraction techniques

S Dilmi, M Ladjal - Chemometrics and Intelligent Laboratory Systems, 2021 - Elsevier
Water quality monitoring plays a vital role in the protection of water resources, environmental
management, and decision-making. Artificial intelligence (AI) based on machine learning …

AI for clean water: efficient water quality prediction leveraging machine learning

AT Ansari, N Nigar, HM Faisal… - Water Practice & …, 2024 - iwaponline.com
Water is one of the most critical resources for maintaining life. Although it makes upto 70% of
the Earth's surface but only a small amount of it is usable. Since water is used for a variety of …

Prediction of water level and water quality using a CNN-LSTM combined deep learning approach

SS Baek, J Pyo, JA Chun - Water, 2020 - mdpi.com
A Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM) combined with a
deep learning approach was created by combining CNN and LSTM networks simulated …

Application of deep learning and machine learning methods in water quality modeling and prediction: a review

U Ewuzie, OP Bolade, AO Egbedina - Current trends and advances in …, 2022 - Elsevier
The clamor for the application of artificial intelligence (AI) models in solving human
challenges is not only due to their cost-effectiveness, reliability, and robustness but also their …

Predicting water quality in municipal water management systems using a hybrid deep learning model

W Luo, L Huang, J Shu, H Feng, W Guo, K Xia… - … Applications of Artificial …, 2024 - Elsevier
Increasing municipal waste generation puts more and more municipal water resources at
high risk. Accurate prediction of water quality becomes critical for effective protection of the …