K-Means Featurizer: A booster for intricate datasets
KL Kouadio, J Liu, R Liu, Y Wang, W Liu - Earth Science Informatics, 2024 - Springer
Abstract Machine Learning (ML) has become pivotal across various fields, offering
innovative solutions to complex data challenges. Professionals typically seek models that …
innovative solutions to complex data challenges. Professionals typically seek models that …
Assessing the relationship between landslide susceptibility and land cover change using machine learning
Landslides are natural disasters most frequent in the mountain region of Vietnam, producing
critical damage to human lives and assets. Therefore, precisely identifying the landslide …
critical damage to human lives and assets. Therefore, precisely identifying the landslide …
Groundwater potential zoning using Logistics Model Trees based novel ensemble machine learning model
In this work, the main aim is to map the potential zones of groundwater in Central Highlands
(Vietnam) using a novel ensemble machine learning model, namely CG-LMT, which is a …
(Vietnam) using a novel ensemble machine learning model, namely CG-LMT, which is a …
[PDF][PDF] GROUNDWATER POTENTIAL ASSESSMENT IN GIA LAI PROVINCE (VIETNAM) USING MACHINE LEARNING, REMOTE SENSING AND GIS
AI PETRIȘOR - researchgate.net
Population growth, urbanization and rapid industrial development increase the demand for
water resources. Groundwater is an important resource in sustainable socio-economic …
water resources. Groundwater is an important resource in sustainable socio-economic …