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Sabrina De Nardi, Claudio Carnevale, Sara Raccagni and Lucia Sangiorgi
Models are a core element in performing local estimation of the climate change input. In this work, a novel approach to perform a fast downscaling of global temperature anomalies on a regional level is presented. The approach is based on a set of data-dr...
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Fabiola Stockmans De Nardi, Thomas dos Santos Trentin, Nicolas dos Santos Trentin, Rosiani Castoldi da Costa, Eunice Oliveira Calvete, Pedro Palencia and José Luís Trevizan Chiomento
Among the bio-tools that contribute to making the strawberry production system more sustainable are arbuscular mycorrhizal fungi (AMF), which can be used as biofertilizers. Thus, five doses of phosphorus (P) applied to plants with AMF and a control (100%...
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Antonio Annis and Fernando Nardi
Hydrologic/hydraulic models for flood risk assessment, forecasting and hindcasting have been greatly supported by the rising availability of increasingly accurate and high-resolution Earth Observation (EO) data. EO-based topographic and hydrologic open g...
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Oscar Möller, Juan Pablo Ascheri, Leandro Emanuel Nardi
Pág. 576 - 590
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Lerina Aversano, Martina Iammarino, Mimmo Carapella, Andrea Del Vecchio and Laura Nardi
The technical debt (TD) in a software project refers to the adoption of an inadequate solution from its design to the source code. When developers admit the presence of technical debt in the source code, through comments or commit messages, it is called ...
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Andrea Nardi, Chiara Bigi, Sandeep Kumar Chaluvadi, Regina Ciancio, Jun Fujii, Ivana Vobornik, Giancarlo Panaccione, Giorgio Rossi and Pasquale Orgiani
The electronic properties of strontium ruthenate SrRuO3" role="presentation">SrRuO3SrRuO3
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perovskite oxide thin films are modified by epitaxial strain, as determined by growing on different substrates by pulsed laser deposition. Temperature depe...
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Francesco Martino, Domenico D. Bloisi, Andrea Pennisi, Mulham Fawakherji, Gennaro Ilardi, Daniela Russo, Daniele Nardi, Stefania Staibano and Francesco Merolla
Oral squamous cell carcinoma is the most common oral cancer. In this paper, we present a performance analysis of four different deep learning-based pixel-wise methods for lesion segmentation on oral carcinoma images. Two diverse image datasets, one for t...
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Jacobien Niebuur, Aart C. Liefbroer, Nardi Steverink and Nynke Smidt
Currently, no valid scales exist to compare volunteer motivations between volunteers and non-volunteers. We aimed to adapt the Dutch version of the Volunteer Functions Inventory (VFI) in order to make it applicable for the comparison of volunteer motivat...
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René Ruby-Figueroa, Monica Nardi, Giovanni Sindona, Carmela Conidi and Alfredo Cassano
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