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Antonello Pasini and Stefano Amendola
Neural network models are often used to analyse non-linear systems; here, in cases of small datasets, we review our complementary approach to deep learning with the purpose of highlighting the importance and roles (linear, non-linear or threshold) of cer...
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Tatiane Souza Rodrigues Pereira, Thiago Pires de Carvalho, Thiago Augusto Mendes, Guilherme da Cruz dos Reis and Klebber Teodomiro Martins Formiga
Flow is a crucial variable in water resources, although its determination is challenging. Rating curves are standard but have conceptual limitations, leading to significantly high uncertainties. Hydrodynamic models offer a more precise alternative, but t...
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Julián Pulecio-Díaz, Miguel Sol-Sánchez and Fernando Moreno-Navarro
Roller-compacted concrete (RCC) pavements have been the subject of studies focused on their increasing deterioration over time due to the influence of vehicular loading and ambient factors in humidity and temperature conditions ranging from medium to low...
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Chiara Martinello, Chiara Cappadonia and Edoardo Rotigliano
Optimally sizing grid cells is a relevant research issue in landslide susceptibility evaluation. In fact, the size of the adopted mapping units influences several aspects spanning from statistical (the number of positive/negative cases and prevalence and...
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Jiaping Liang, Hang Li, Na Li, Qiliang Yang and Linchao Li
Rapeseed is one of China?s major oil crops, and accurate yield forecasting is crucial to the growth of the rapeseed industry and the country?s food security. In this study, the data on natural and socio-economic factors from 2001 to 2020 and the yield of...
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Hory Chikez, Dirk Maier, Sigurdur Olafsson and Steve Sonka
Several studies have identified a host of factors to be considered when attempting to reduce food postharvest loss (PHL). However, very few studies have ranked those factors by their importance in driving PHL. This study used the Random Forest model to r...
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Silvia Golia, Luigi Grossi and Matteo Pelagatti
In this paper we assess how intra-day electricity prices can improve the prediction of zonal day-ahead wholesale electricity prices in Italy. We consider linear autoregressive models with exogenous variables (ARX) with and without interactions among pred...
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Marina Georgati, Henning Sten Hansen and Carsten Keßler
Population growth in urban centres and the intensification of segregation phenomena associated with international mobility require improved urban planning and decision-making. More effective planning in turn requires better analysis and geospatial modell...
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Simone Ciccolella, Gianluca Della Vedova, Vladimir Filipovic and Mauricio Soto Gomez
Being able to infer the clonal evolution and progression of cancer makes it possible to devise targeted therapies to treat the disease. As discussed in several studies, understanding the history of accumulation and the evolution of mutations during cance...
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Ryan Paulik, Shaun Williams and Benjamin Popovich
This study investigates residential building damage model transferability between coastal and fluvial flood hazard contexts. Despite the frequency of damaging coastal flood events, empirical damage models from fluvial flooding are often applied in quanti...
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