Advancements in monitoring water quality based on various sensing methods: A systematic review

SN Zainurin, WZ Wan Ismail, SNI Mahamud… - International Journal of …, 2022 - mdpi.com
Nowadays, water pollution has become a global issue affecting most countries in the world.
Water quality should be monitored to alert authorities on water pollution, so that action can …

Microalgae biomass and biomolecule quantification: optical techniques, challenges and prospects

VA Thiviyanathan, PJ Ker, SGH Tang, EPP Amin… - … and Sustainable Energy …, 2024 - Elsevier
Microalgae have emerged as a potential raw material to produce a spectrum of industrially
significant biomolecules such as lipids, proteins, and carotenoids. Nevertheless, the …

Water quality prediction based on LSTM and attention mechanism: A case study of the Burnett River, Australia

H Chen, J Yang, X Fu, Q Zheng, X Song, Z Fu, J Wang… - Sustainability, 2022 - mdpi.com
Prediction of water quality is a critical aspect of water pollution control and prevention. The
trend of water quality can be predicted using historical data collected from water quality …

Applications and contemporary issues with adsorption for water monitoring and remediation: a facile review

KE Ukhurebor, I Hossain, K Pal, G Jokthan, F Osang… - Topics in …, 2024 - Springer
Water is necessary for agriculture, industry, and human consumption. Reportedly, freshwater
resources are scarce, and it is obvious that industrial and agricultural activities can …

Smart water quality prediction using atom search optimization with fuzzy deep convolutional network

M Al Duhayyim, HA Mengash, M Aljebreen, MK Nour… - Sustainability, 2022 - mdpi.com
Smart solutions for monitoring water pollution are becoming increasingly prominent
nowadays with the advance in the Internet of Things (IoT), sensors, and communication …

[HTML][HTML] Ensemble empirical mode decomposition and a long short-term memory neural network for surface water quality prediction of the **aofu River, China

L Luo, Y Zhang, W Dong, J Zhang, L Zhang - Water, 2023 - mdpi.com
Water quality prediction is an important part of water pollution prevention and control. Using
a long short-term memory (LSTM) neural network to predict water quality can solve the …

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 **a… - … 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 …

Many-to-many: Domain adaptation for water quality prediction

S Wang, M Gao, H Wu, F Luo, F Jiang, L Tao - Applied Soft Computing, 2024 - Elsevier
Predicting water quality is crucial for sustainable water management. To mitigate data
scarcity for specific water quality targets, domain adaptation methods have been employed …

Reservoir Transfer Learning Through Source Enhancement Reconstructed with Reservoir Stein Discrepancy

J Lin, F Chung, S Wang - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Due to the use of reservoir states, reservoir transfer learning may perhaps face an
overwhelming phenomenon—possibly more dissimilarity between reservoir states …

Water quality analysis based on LSTM and BP optimization with a transfer learning model

Q Luo, D Peng, W Shang, Y Gu, X Luo, Z Zhu… - … Science and Pollution …, 2023 - Springer
In the urban water environmental management, a fast and effective method for water quality
analysis should be established with the rapid urbanization. In this study, the Bei**g's sub …