[HTML][HTML] A basic review of fuzzy logic applications in hydrology and water resources
In recent years, fuzzy logic has emerged as a powerful technique in the analysis of
hydrologic components and decision making in water resources. Problems related to …
hydrologic components and decision making in water resources. Problems related to …
Recent advances in evapotranspiration estimation using artificial intelligence approaches with a focus on hybridization techniques—a review
Difficulties are faced when formulating hydrological processes, including that of
evapotranspiration (ET). Conventional empirical methods for formulating these possess …
evapotranspiration (ET). Conventional empirical methods for formulating these possess …
[HTML][HTML] Soil water erosion susceptibility assessment using deep learning algorithms
Accurate assessment of soil water erosion (SWE) susceptibility is critical for reducing land
degradation and soil loss, and for mitigating the negative impacts of erosion on ecosystem …
degradation and soil loss, and for mitigating the negative impacts of erosion on ecosystem …
A novel framework for risk assessment and resilience of critical infrastructure towards climate change
The persistent extreme weather events (floods, droughts, heatwaves, etc.) are increasing the
risks towards critical infrastructure (CI). Therefore, it is essential to enhance the resilience of …
risks towards critical infrastructure (CI). Therefore, it is essential to enhance the resilience of …
Machine learning and artificial intelligence to aid climate change research and preparedness
C Huntingford, ES Jeffers, MB Bonsall… - Environmental …, 2019 - iopscience.iop.org
Climate change challenges societal functioning, likely requiring considerable adaptation to
cope with future altered weather patterns. Machine learning (ML) algorithms have advanced …
cope with future altered weather patterns. Machine learning (ML) algorithms have advanced …
An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation
Evaporation is an important hydrological process in the water cycle, especially for water
bodies. Machine Learning (ML) models have become accurate and powerful tools in …
bodies. Machine Learning (ML) models have become accurate and powerful tools in …
Predicting compressive strength of lightweight foamed concrete using extreme learning machine model
In this research, a machine learning model namely extreme learning machine (ELM) is
proposed to predict the compressive strength of foamed concrete. The potential of the ELM …
proposed to predict the compressive strength of foamed concrete. The potential of the ELM …
Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran
Evaporation accounts for varying shares of water balance under different climatic conditions,
and its correct prediction poses a significant challenge before water resources management …
and its correct prediction poses a significant challenge before water resources management …
An integrated statistical-machine learning approach for runoff prediction
Nowadays, great attention has been attributed to the study of runoff and its fluctuation over
space and time. There is a crucial need for a good soil and water management system to …
space and time. There is a crucial need for a good soil and water management system to …
Modeling the emission characteristics of the hydrogen-enriched natural gas engines by multi-output least-squares support vector regression: Comprehensive …
The hydrogen-enriched natural gas engines (HENGEs) have recently found huge popularity.
Despite the broad range of applications of the HENGE, their environmentally-associated …
Despite the broad range of applications of the HENGE, their environmentally-associated …