[HTML][HTML] Application of airborne hyperspectral imagery to retrieve spatiotemporal CDOM distribution using machine learning in a reservoir
Colored dissolved organic matter (CDOM) in inland waters is used as a proxy to estimate
dissolved organic carbon (DOC) and may be a key indicator of water quality and nutrient …
dissolved organic carbon (DOC) and may be a key indicator of water quality and nutrient …
[HTML][HTML] Accelerating fluid flow simulations through doubly porous media using a FEM-assisted machine learning approach
HB Ly, TA Nguyen - Results in Physics, 2023 - Elsevier
This paper introduces an innovative methodology for simulating fluid flow through doubly
porous media. This technique combines finite element (FE) simulations and machine …
porous media. This technique combines finite element (FE) simulations and machine …
Dominant factors influencing changes in the water quantity and quality in the Dianshi Reservoir, East China
This study aims to identify the major factors affecting the water quality and quantity of the
Dianshi Reservoir and to determine the potential risks facing the Dianshi Reservoir under …
Dianshi Reservoir and to determine the potential risks facing the Dianshi Reservoir under …
[HTML][HTML] Lake total suspended matter retrieval by wind speed: A machine learning model trained by time-series satellite imagery
This study aims to develop an affordable and continuous method for monitoring water quality
in arid, remote areas with high erosion rates. It presents a hypothesis that establishes a link …
in arid, remote areas with high erosion rates. It presents a hypothesis that establishes a link …
Gradient boosting approach to predict complex modulus of GO-modified asphalt at low and medium temperature
HGT Hoang, TA Nguyen, HL Nguyen, HB Ly - Innovative Infrastructure …, 2024 - Springer
Graphene oxide (GO)-modified asphalt presents a potential solution for enhancing the
stiffness and resistance to shear deformation in asphalt materials. Methods currently …
stiffness and resistance to shear deformation in asphalt materials. Methods currently …
[PDF][PDF] Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach
ABSTRACT Sentinel-2 MultiSpectral Instrument (MSI) data exhibits the great potential of
enhanced spatial and temporal coverage for monitoring biomass burning which could …
enhanced spatial and temporal coverage for monitoring biomass burning which could …
Remote sensing statistical inference for colored dissolved organic matter in inland water: Case study in Qiandao Lake
W Zhu - IEEE Journal of Selected Topics in Applied Earth …, 2023 - ieeexplore.ieee.org
Compared to traditional remote sensing classification and inversion techniques, remote
sensing statistical inference is a novel method for rapidly estimating the statistical properties …
sensing statistical inference is a novel method for rapidly estimating the statistical properties …
Machine Learning methods for providing groundwater management insights in semi-arid alluvial aquifers
S Xiao - 2024 - unsworks.unsw.edu.au
Accurate regional groundwater level (GWL) forecasting is critical for evaluating the impacts
of groundwater withdrawals on water resource sustainability, especially during droughts. A …
of groundwater withdrawals on water resource sustainability, especially during droughts. A …
Improving the Performance of Industrial Dyeing Recipe Models by Taking Log-Transform in the Data Pre-Processing
Recent research advances on fabric dyeing have focused on modeling the relationship
between dye concentrations and the final color on fabrics. The emerging techniques in …
between dye concentrations and the final color on fabrics. The emerging techniques in …
[PDF][PDF] Towards a Generalized Machine Learning Approach for Estimating Chlorophyll Values in Inland Waters with Spectral Data
PM Maier - 2021 - core.ac.uk
Water is an essential element of life. However, its quality is threatened for example by
harmful algal blooms or man-made pollution. Monitoring enables the detection of changes in …
harmful algal blooms or man-made pollution. Monitoring enables the detection of changes in …