[HTML][HTML] Application of airborne hyperspectral imagery to retrieve spatiotemporal CDOM distribution using machine learning in a reservoir

J Kim, W Jang, JH Kim, J Lee, KH Cho, YG Lee… - International Journal of …, 2022 - Elsevier
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 …

[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 …

Dominant factors influencing changes in the water quantity and quality in the Dianshi Reservoir, East China

F Su, P Li, M Fida - Human and Ecological Risk Assessment: An …, 2022 - Taylor & Francis
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 …

[HTML][HTML] Lake total suspended matter retrieval by wind speed: A machine learning model trained by time-series satellite imagery

A Noori, SH Mohajeri, M Mehraein, A Sharafati - Ecological Informatics, 2024 - Elsevier
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 …

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 …

[PDF][PDF] Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach

X Hu, Y Ban, A Nascetti - International Journal of Applied Earth …, 2021 - lirias.kuleuven.be
ABSTRACT Sentinel-2 MultiSpectral Instrument (MSI) data exhibits the great potential of
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 …

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 …

Improving the Performance of Industrial Dyeing Recipe Models by Taking Log-Transform in the Data Pre-Processing

Z Tu, C Song, X Qin, XJ Zhang - Design Studies and Intelligence …, 2023 - ebooks.iospress.nl
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 …

[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 …