[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review
H Tao, MM Hameed, HA Marhoon… - Neurocomputing, 2022 - Elsevier
Developing accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …
essential for enhancing the planning and management of water resources. Over the past two …
Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
Soil salinity mapping using SAR sentinel-1 data and advanced machine learning algorithms: A case study at Ben Tre Province of the Mekong River Delta (Vietnam)
Soil salinity caused by climate change associated with rising sea level is considered as one
of the most severe natural hazards that has a negative effect on agricultural activities in the …
of the most severe natural hazards that has a negative effect on agricultural activities in the …
Space-time chlorophyll-a retrieval in optically complex waters that accounts for remote sensing and modeling uncertainties and improves remote estimation accuracy
Remote sensing reflectance (Rrs) values measured by satellite sensors involve large
amounts of uncertainty leading to non-negligible noise in remote Chlorophyll-a (Chl-a) …
amounts of uncertainty leading to non-negligible noise in remote Chlorophyll-a (Chl-a) …
Machine learning regression approaches for colored dissolved organic matter (CDOM) retrieval with S2-MSI and S3-OLCI simulated data
The colored dissolved organic matter (CDOM) variable is the standard measure of humic
substance in waters optics. CDOM is optically characterized by its spectral absorption …
substance in waters optics. CDOM is optically characterized by its spectral absorption …
Inland harmful cyanobacterial bloom prediction in the eutrophic Tri An Reservoir using satellite band ratio and machine learning approaches
Abstract In recent years, Tri An, a drinking water reservoir for millions of people in southern
Vietnam, has been affected by harmful cyanobacterial blooms (HCBs), raising concerns …
Vietnam, has been affected by harmful cyanobacterial blooms (HCBs), raising concerns …
Remote sensing of water quality parameters over Lake Balaton by using Sentinel-3 OLCI
The Ocean and Land Color Instrument (OLCI) onboard Sentinel 3A satellite was launched in
February 2016. Level 2 (L2) products have been available for the public since July 2017 …
February 2016. Level 2 (L2) products have been available for the public since July 2017 …
[HTML][HTML] Sensitivity analysis methodology for battery degradation models
Accurate degradation models are crucial to perform efficient battery design and
management. The time and resources required to improve the output accuracy of the models …
management. The time and resources required to improve the output accuracy of the models …
Monitoring water quality of valle de bravo reservoir, mexico, using entire lifespan of meris data and machine learning approaches
LF Arias-Rodriguez, Z Duan, R Sepúlveda… - Remote Sensing, 2020 - mdpi.com
Remote-sensing-based machine learning approaches for water quality parameters
estimation, Secchi Disk Depth (SDD) and Turbidity, were developed for the Valle de Bravo …
estimation, Secchi Disk Depth (SDD) and Turbidity, were developed for the Valle de Bravo …
Comparing the performance of machine learning algorithms for remote and in situ estimations of chlorophyll‐a content: A case study in the Tri An Reservoir, Vietnam
Abstract Chlorophyll‐a (Chl‐a) is one of the most important indicators of the trophic status of
inland waters, and its continued monitoring is essential. Recently, the operated Sentinel‐2 …
inland waters, and its continued monitoring is essential. Recently, the operated Sentinel‐2 …