The study examines the prospects and challenges of machine learning (ML) applications in
academic forecasting. Predicting academic activities through machine learning algorithms …

Two articles, Edelsbrunner and, Schneider (2013), and Nokelainen and Silander (2014)
comment on Musso, Kyndt, Cascallar, and Dochy (2013). Several relevant issues are raised …

The Artificial Neural Network is generally considered to be an effective classifier, but also a
“Black Box” component whose internal behavior cannot be understood by human users …

Abstract· This study analyzes the effects of macro factors on rail accidents from an
international perspective. In the literature, only micro factors of rail accidents have been …

Scientific research has shown that there is a direct relationship between global warming and
the emission of carbon dioxide (CO2) and other greenhouse gases. As far as European …

The risks of flooding have been ever present for homes located in flood plains or close to
coastal areas. Surface water flooding and flash flooding in urban areas means that homes …

This study evaluates the effectiveness of the first three phases (2005-2019) of the European
Union Emissions Trading System (EU ETS) in reducing fossil fuel CO2 emissions in 241 …

La recherche scientifique a montré qu'il existe une relation directe entre le réchauffement
climatique et l'émission de carbone et d'autres gaz à effet de serre. En ce qui concerne les …

This commentary to the recent article by Musso et al.(2013) discusses issues related to
model fitting, comparison of classification accuracy of generative and discriminative models …

En el rendimiento académico dentro de la universidad influyen muchos factores, los que se
manifiestan principalmente en el primer año de la carrera. Sin embargo, los factores …