Atmospheric particulate matter (PM) is one of the pollutants that may have a significant
impact on human health. Data collected over seven years in a city of the north of Spain is …

Performance of bankruptcy prediction models (BPM), which partly depends on the
methodological approach used to develop it, has virtually stagnated over the years. The …

Using 693 000 datacells from 33 000 sample construction firms that operated or failed
between 2008 and 2017, failure prediction models were developed using artificial neural …

In the present research, models based on multivariate adaptive regression splines (MARS)
are proposed to study the influence of gender in the factors affecting the development of …

Credit-risk models that are designed for general application across sectors may not be
suitable for the construction industry, which has unique characteristics and financial risks …

Nowadays, the quality standards of higher education institutions pay special attention to the
performance and evaluation of the students. Then, having a complete academic record of …

Many construction industry insolvency prediction model (CI-IPM) studies have arbitrarily
employed or simply adopted from previous studies different insolvency factors, without …

This paper focuses on fire prevention in UCG processes within active mines by means of
temperature forecasting by a multivariate adaptive regression splines (MARS) approach …

The use of techniques such as adaptive optics is mandatory when performing astronomical
observation from ground based telescopes, due to the atmospheric turbulence effects. In the …

Nowadays, both students performance and its evaluation are important challenges and play
a significant role, in general terms. Frequently, the students attempts to pass a specific …