Exploring lithium-Ion battery degradation: A concise review of critical factors, impacts, data-driven degradation estimation techniques, and sustainable directions for …
Batteries play a crucial role in the domain of energy storage systems and electric vehicles by
enabling energy resilience, promoting renewable integration, and driving the advancement …
enabling energy resilience, promoting renewable integration, and driving the advancement …
Artificial neural networks vis-à-vis MODFLOW in the simulation of groundwater: A review
N Zeydalinejad - Modeling Earth Systems and Environment, 2022 - Springer
Although numerical and non-numerical models of groundwater flow and transport have
separately been reviewed in several studies, they have not hitherto been reviewed …
separately been reviewed in several studies, they have not hitherto been reviewed …
Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data
Due to its heterogeneous and complex nature, groundwater modeling needs great effort to
quantify the aquifer, a crucial tool for policymakers and hydrogeologists to understand the …
quantify the aquifer, a crucial tool for policymakers and hydrogeologists to understand the …
Modeling of soil moisture movement and wetting behavior under point-source trickle irrigation
The design and selection of ideal emitter discharge rates can be aided by accurate
information regarding the wetted soil pattern under surface drip irrigation. The current field …
information regarding the wetted soil pattern under surface drip irrigation. The current field …
Groundwater level simulation using soft computing methods with emphasis on major meteorological components
Precise estimation of groundwater level (GWL) might be of great importance for attaining
sustainable development goals and integrated water resources management. Compared …
sustainable development goals and integrated water resources management. Compared …
Novel approach for predicting groundwater storage loss using machine learning
Z Kayhomayoon, NA Azar, SG Milan… - Journal of …, 2021 - Elsevier
Comprehensive national estimates of groundwater storage loss (GSL) are needed for better
management of natural resources. This is especially important for data scarce regions with …
management of natural resources. This is especially important for data scarce regions with …
Improving results of existing groundwater numerical models using machine learning techniques: A review
C Di Salvo - Water, 2022 - mdpi.com
This paper presents a review of papers specifically focused on the use of both numerical
and machine learning methods for groundwater level modelling. In the reviewed papers …
and machine learning methods for groundwater level modelling. In the reviewed papers …
[HTML][HTML] Adaptive water management in the face of uncertainty: Integrating machine learning, groundwater modeling and robust decision making
This study examines climate change and water resources management challenges facing
water suppliers in drought-prone regions and is particularly relevant to the American West …
water suppliers in drought-prone regions and is particularly relevant to the American West …
Convergence of mechanistic modeling and artificial intelligence in hydrologic science and engineering
R Muñoz-Carpena, A Carmona-Cabrero, Z Yu… - PLOS …, 2023 - journals.plos.org
Hydrology is a mature physical science based on application of first principles. However, the
water system is complex and its study requires analysis of increasingly large data available …
water system is complex and its study requires analysis of increasingly large data available …
Groundwater level forecasting using ensemble coactive neuro-fuzzy inference system
A modeling framework utilizing the coactive neuro-fuzzy inference system (CANFIS) has
been developed for multi-lead time groundwater level (GWL) forecasting in four different …
been developed for multi-lead time groundwater level (GWL) forecasting in four different …