[HTML][HTML] Self-organizing map algorithm for assessing spatial and temporal patterns of pollutants in environmental compartments: A review
S Licen, A Astel, S Tsakovski - Science of the Total Environment, 2023 - Elsevier
The evaluation of the spatial and temporal distribution of pollutants is a crucial issue to
assess the anthropogenic burden on the environment. Numerous chemometric approaches …
assess the anthropogenic burden on the environment. Numerous chemometric approaches …
[HTML][HTML] Determining nitrate and sulfate pollution sources and transformations in a coastal aquifer impacted by seawater intrusion—a multi-isotopic approach …
Over the past few decades, the La Paz aquifer system in Baja California Sur, Mexico, has
been under severe pressure due to overexploitation for urban water supply and agriculture; …
been under severe pressure due to overexploitation for urban water supply and agriculture; …
Using a linear discriminant analysis (LDA)-based nomenclature system and self-organizing maps (SOM) for spatiotemporal assessment of groundwater quality in a …
V Amiri, K Nakagawa - Journal of Hydrology, 2021 - Elsevier
In this study, a linear discriminant analysis (LDA)-based nomenclature system have been
used for the classification of groundwater samples in a coastal aquifer. The capability of …
used for the classification of groundwater samples in a coastal aquifer. The capability of …
[HTML][HTML] Mapping homogeneous regions for flash floods using machine learning: A case study in Jiangxi province, China
Regionalization of flash floods aims to partition a geographical space into homogeneous
regions in which flash floods have similar generation mechanism. In this paper, we present a …
regions in which flash floods have similar generation mechanism. In this paper, we present a …
Unraveling the occurrence of contaminants of emerging concern in groundwater from urban setting: A combined multidisciplinary approach and self-organizing maps
In recent decades, changes in human behavior and new technologies have introduced
thousands of new compounds into the environment called “contaminants of emerging …
thousands of new compounds into the environment called “contaminants of emerging …
Development of a sensitivity analysis framework for aquatic biogeochemical models using machine learning
H Cai, Y Shimoda, J Mao, GB Arhonditsis - Ecological Informatics, 2023 - Elsevier
Our evolving understanding of ecosystem functioning along with the advent of computational
power have paved the way for the development of complex mathematical models that …
power have paved the way for the development of complex mathematical models that …
Unravelling groundwater time series patterns: Visual analytics-aided deep learning in the Namoi region of Australia
SR Clark - Environmental Modelling & Software, 2022 - Elsevier
Understanding the sustainability of current groundwater extractions is critical in the face of
changing climate and anthropogenic conditions, but this proves challenging in areas with …
changing climate and anthropogenic conditions, but this proves challenging in areas with …
Dynamic patterns and potential drivers of river water quality in a coastal city: Insights from a machine-learning-based framework and water management
Y Huang, S Chen, X Tang, C Sun, Z Zhang… - Journal of Environmental …, 2024 - Elsevier
River water quality continues to deteriorate under the coupled effects of climate change and
human activities. Machine learning (ML) is a promising approach for analyzing water quality …
human activities. Machine learning (ML) is a promising approach for analyzing water quality …
[HTML][HTML] The whole is greater than the sum of its parts: Using cognitive profiles to predict academic achievement
Abstract Background Executive functions (EFs) are thought to work in concert to support
academic skill. However, EFs are often examined independently, obscuring their symbiotic …
academic skill. However, EFs are often examined independently, obscuring their symbiotic …
Mapping of user-perceived landscape types and spatial distribution using crowdsourced photo data and machine learning: Focusing on Taeanhaean National Park
S Lee, Y Son - Journal of Outdoor Recreation and Tourism, 2023 - Elsevier
User perception of protected areas is a valuable set of information for monitoring and
managing those areas. To refer to the management direction of protected areas, various …
managing those areas. To refer to the management direction of protected areas, various …