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 …

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 …

Abstract Simulation-Based Multi-Objective Optimization (SBMOO) methods are being
increasingly used in conceptual architectural design. They mostly focus on the solving …

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 …

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 …

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 …

(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 …

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 …

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 …

Visual data mining techniques have experienced a growing interest for processing and
interpretation of the large amounts of multidimensional data available in current industrial …