[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 …
A survey of outlier detection methodologies
Outlier detection has been used for centuries to detect and, where appropriate, remove
anomalous observations from data. Outliers arise due to mechanical faults, changes in …
anomalous observations from data. Outliers arise due to mechanical faults, changes in …
Dynamic and interactive re-formulation of multi-objective optimization problems for conceptual architectural design exploration
D Yang, D Di Stefano, M Turrin, S Sariyildiz… - Automation in …, 2020 - Elsevier
Abstract Simulation-Based Multi-Objective Optimization (SBMOO) methods are being
increasingly used in conceptual architectural design. They mostly focus on the solving …
increasingly used in conceptual architectural design. They mostly focus on the solving …
Odor control map: Self organizing map built from electronic nose signals and integrated by different instrumental and sensorial data to obtain an assessment tool for …
S Licen, G Barbieri, A Fabbris, SC Briguglio… - Sensors and Actuators B …, 2018 - Elsevier
Olfactory nuisances are an issue of growing concern considering that people's awareness
about the effect of pollution on health and environment is increasing and that the perception …
about the effect of pollution on health and environment is increasing and that the perception …
Pattern recognition and anomaly detection by self-organizing maps in a multi month e-nose survey at an industrial site
S Licen, A Di Gilio, J Palmisani, S Petraccone… - Sensors, 2020 - mdpi.com
Currently people are aware of the risk related to pollution exposure. Thus odor annoyances
are considered a warning about the possible presence of toxic volatile compounds. Malodor …
are considered a warning about the possible presence of toxic volatile compounds. Malodor …
Using the self-organizing map as a visualization tool in financial benchmarking
In this paper, we illustrate the use of the self-organizing map technique for financial
performance analysis and benchmarking. We build a database of financial ratios indicating …
performance analysis and benchmarking. We build a database of financial ratios indicating …
Self-Organizing Maps: An AI Tool for Identifying Unexpected Source Signatures in Non-Target Screening Analysis of Urban Wastewater by HPLC-HRMS
V Gelao, S Fornasaro, SC Briguglio, M Mattiussi… - Toxics, 2024 - mdpi.com
(1) Background: Monitoring effluent in water treatment plants has a key role in identifying
potential pollutants that might be released into the environment. A non-target analysis …
potential pollutants that might be released into the environment. A non-target analysis …
Conceptual model of arsenic mobility in the shallow alluvial aquifers near Venice (Italy) elucidated through machine learning and geochemical modeling
N Dalla Libera, D Pedretti, F Tateo… - Water Resources …, 2020 - Wiley Online Library
This work proposed a novel method to elucidate the controls of As mobility in complex
aquifers based on an unsupervised machine learning algorithm, Self‐Organizing Map …
aquifers based on an unsupervised machine learning algorithm, Self‐Organizing Map …
[PDF][PDF] Feature Clustering with Self-organizing Maps and an Application to Financial Time-series for Portfolio Selection.
B Silva, NC Marques - IJCCI (ICFC-ICNC), 2010 - researchgate.net
The portfolio selection is an important technique for decreasing the risk in the stock
investment. In the portfolio selection, the investor's property is distributed for a set of stocks in …
investment. In the portfolio selection, the investor's property is distributed for a set of stocks in …
Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes
Visual data mining techniques have experienced a growing interest for processing and
interpretation of the large amounts of multidimensional data available in current industrial …
interpretation of the large amounts of multidimensional data available in current industrial …