[HTML][HTML] Water-quality prediction based on H2O AutoML and explainable AI techniques

HA Madni, M Umer, A Ishaq, N Abuzinadah, O Saidani… - Water, 2023 - mdpi.com
Rapid expansion of the world's population has negatively impacted the environment, notably
water quality. As a result, water-quality prediction has arisen as a hot issue during the last …

White blood cells classification using multi-fold pre-processing and optimized CNN model

O Saidani, M Umer, N Alturki, A Alshardan, M Kiran… - Scientific Reports, 2024 - nature.com
White blood cells (WBCs) play a vital role in immune responses against infections and
foreign agents. Different WBC types exist, and anomalies within them can indicate diseases …

An optimized explainable artificial intelligence approach for sustainable clean water

D Ezzat, M Soliman, E Ahmed… - Environment, Development …, 2023 - Springer
Water, sanitation, and hygiene are essential components of the 2030 agenda for sustainable
development. Goal 6 is dedicated to guarantee all societies have access to water and …

Spatiotemporal comprehensive evaluation of water quality based on enhanced variable fuzzy set theory: A case study of a landfill in karst area

Y Yang, B Li, C Li, P Liu, T Li, Y Luo, L Yang… - Journal of Cleaner …, 2024 - Elsevier
Water quality assessment is a crucial step in water resource management and pollution
prevention, and is essential for achieving sustainable development. Current methods for …

A novel RF-CEEMD-LSTM model for predicting water pollution

J Ruan, Y Cui, Y Song, Y Mao - Scientific Reports, 2023 - nature.com
Accurate water pollution prediction is an important basis for water environment prevention
and control. The uncertainty of input variables and the nonstationary and nonlinear …

[HTML][HTML] Performance Evaluation of Gradient Descent Optimizers in Estuarine Turbidity Estimation with Multilayer Perceptron and Sentinel-2 Imagery

N Ndou, N Nontongana - Hydrology, 2024 - mdpi.com
Accurate monitoring of estuarine turbidity patterns is important for maintaining aquatic
ecological balance and devising informed estuarine management strategies. This study …

Prediction of Water Quality Using SoftMax-ELM Optimized Using Adaptive Crow-Search Algorithm

SRS Chakravarthy, N Bharanidharan… - IEEE …, 2023 - ieeexplore.ieee.org
Water is a predominant source in the survival and development of all human lives. On top of
all, predicting water quality is a significant one since water is essential in regulating our …

An Empirical Modal Decomposition-Improved Whale Optimization Algorithm-Long Short-Term Memory Hybrid Model for Monitoring and Predicting Water Quality …

B Li, H Xu, Y Lian, P Li, Y Shao, C Tan - Sustainability, 2023 - mdpi.com
Prediction of water quality parameters is a significant aspect of contemporary green
development and ecological restoration. However, the conventional water quality prediction …

[HTML][HTML] Comparative Analysis of Machine Learning Techniques for Water Consumption Prediction: A Case Study from Kocaeli Province

K Görenekli, A Gülbağ - Sensors, 2024 - mdpi.com
This study presents a comparative analysis of various Machine Learning (ML) techniques for
predicting water consumption using a comprehensive dataset from Kocaeli Province …

[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 …