Water Quality Prediction Using Artificial Intelligence Algorithms [PDF]
Applied Bionics and Biomechanics, 2020 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 pollution. In this work, advanced artificial intelligence (AI) algorithms are
Theyazn H. H Aldhyani +3 more
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Water Quality Prediction Method Based on Multi-Source Transfer Learning for Water Environmental IoT System [PDF]
Sensors, 2021 Water environmental Internet of Things (IoT) system, which is composed of multiple monitoring points equipped with various water quality IoT devices, provides the possibility for accurate water quality prediction.
Jian Zhou +4 more
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Water Quality Prediction Based on Machine Learning and Comprehensive Weighting Methods [PDF]
Entropy, 2023 In the context of escalating global environmental concerns, the importance of preserving water resources and upholding ecological equilibrium has become increasingly apparent.
Xianhe Wang +4 more
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Water Quality Prediction Based on Multi-Task Learning. [PDF]
Int J Environ Res Public Health, 2022 Water pollution seriously endangers people’s lives and restricts the sustainable development of the economy. Water quality prediction is essential for early warning and prevention of water pollution. However, the nonlinear characteristics of water quality data make it challenging to accurately predicted by traditional methods.
Wu H +6 more
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A Water Quality Prediction Method Based on the Deep LSTM Network Considering Correlation in Smart Mariculture [PDF]
Sensors, 2019 An accurate prediction of cage-cultured water quality is a hot topic in smart mariculture. Since the mariculturing environment is always open to its surroundings, the changes in water quality parameters are normally nonlinear, dynamic, changeable, and ...
Zhuhua Hu +6 more
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Water quality prediction based on Naïve Bayes algorithm [PDF]
Water Science and Technology, 2022 In the fast-changing world with increased water demand, water pollution, environmental problems, and related data, information on water quality and suitability for any purpose should be prompt and reliable.
M. Ilić, Z. Srdjević, B. Srdjević
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Water quality prediction in sea cucumber farming based on a GRU neural network optimized by an improved whale optimization algorithm [PDF]
PeerJ Computer Science, 2022 Sea cucumber farming is an important part of China’s aquaculture industry, and sea cucumbers have higher requirements for aquaculture water quality. This article proposes a sea cucumber aquaculture water quality prediction model that uses an improved ...
Huanhai Yang, Shue Liu
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Reliable water quality prediction and parametric analysis using explainable AI models [PDF]
Scientific ReportsThe consumption of water constitutes the physical health of most of the living species and hence management of its purity and quality is extremely essential as contaminated water has to potential to create adverse health and environmental consequences ...
M. K. Nallakaruppan +5 more
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Water quality prediction using Machine Learning Models [PDF]
E3S Web of ConferencesThe quality of water is a vital determinant of environmental sustainability, economic development, and general welfare. India has substantial water quality issues, with different areas facing varying levels of pollution.
Sharma Astha +3 more
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Application of the Two-Layer Regularized Gated Recurrent Unit (TLR-GRU) Model Enhanced by Sliding Window Features in Water Quality Parameter Prediction [PDF]
EntropyWater quality monitoring is critical for public health, ecology, and economic sustainability, but traditional methods are limited by temporal-spatial coverage and cost, failing to meet real-time assessment needs.
Xianhe Wang +5 more
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