[HTML][HTML] A comprehensive survey of machine learning methodologies with emphasis in water resources management

M Drogkoula, K Kokkinos, N Samaras - Applied Sciences, 2023 - mdpi.com
This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …

A systematic literature review on lake water level prediction models

S Ozdemir, M Yaqub, SO Yildirim - Environmental Modelling & Software, 2023 - Elsevier
Global climate change has led to large fluctuations in lake levels in recent years as
meteorological and hydrological parameters have changed and water use has been …

Integrating ICESat-2 altimetry and machine learning to estimate the seasonal water level and storage variations of national-scale lakes in China

L Song, C Song, S Luo, T Chen, K Liu, Y Zhang… - Remote sensing of …, 2023 - Elsevier
Lakes comprise the largest element of terrestrial surface liquid freshwater bodies, playing an
indispensable part in the Earth's water cycle and alleviating floods and droughts. The …

[HTML][HTML] Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer

SR Sannasi Chakravarthy, N Bharanidharan… - BMC Medical …, 2024 - Springer
Breast Cancer is a significant global health challenge, particularly affecting women with
higher mortality compared with other cancer types. Timely detection of such cancer types is …

A simplified modeling approach for optimization of urban river systems

W Feng, C Wang, X Lei, H Wang - Journal of Hydrology, 2023 - Elsevier
Effective strategies for operating gates and pumping stations can help urban river systems to
better control flooding. However, the computing cost of optimizing urban river systems …

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 …

Machine Learning Tools for Water Resources Modeling and Management

G Guariso, M Sangiorgio - Oxford Research Encyclopedia of …, 2024 - oxfordre.com
The pervasive diffusion of information and communication technologies that has
characterized the end of the 20th and the beginning of the 21st centuries has profoundly …

Comparative assessment of advanced machine learning techniques for simulation of lake water level fluctuations based on different dimensionality reduction methods

M Riazi, M Karimi, S Eslamian… - Earth Science Informatics, 2023 - Springer
Global warming and unprecedented human impacts causing environmental degradation are
taking place at an alarming rate. As one of the most valuable and important water resources …

A Transformer variant for multi-step forecasting of water level and hydrometeorological sensitivity analysis based on explainable artificial intelligence technology

M Liu, N Bao, X Yan, C Li, K Peng - arXiv preprint arXiv:2405.13646, 2024 - arxiv.org
Understanding the combined influences of meteorological and hydrological factors on water
level and flood events is essential, particularly in today's changing climate environments …

Predictive Understanding of Lake Water Temperature and Dissolved Oxygen Profiles Across the Red River Basin Through Interpretable Machine Learning

IS Sierra - 2024 - search.proquest.com
Accurately predicting lake water temperature (LWT) and dissolved oxygen (DO) is crucial for
determining threshold values of fish survivability under warmer global conditions, with …