Catalogo Ricerca UniNaParthenope

Catalogo Ricerca UniNaParthenope: [27824] Home page macrotipologia

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1 Contributo su Rivista 15748
- 1.1 Articolo in rivista 15026
- 1.2 Recensione in rivista 234
- 1.3 Scheda bibliografica 32
- 1.4 Nota a sentenza 190
- 1.5 Abstract in rivista 261
- 1.6 Traduzione in rivista 5

2 Contributo in Volume 5084

3 Libro 1065
- 3.1 Monografia o trattato scientifico 1039
- 3.2 Concordanza 1
- 3.3 Indice 0
- 3.4 Bibliografia 2
- 3.5 Edizione critica 5
- 3.6 Pubblicazione di fonti inedite 2
- 3.7 Commento scientifico 3
- 3.8 Traduzione di libro 13

4 Contributo in Atti di Convegno (Proceeding) 5262
- 4.1 Contributo in Atti di convegno 4450
- 4.2 Abstract in Atti di convegno 677
- 4.3 Poster 135

5 Altro 352
- 5.01 Composizione 3
- 5.02 Disegno 1
- 5.03 Design 0
- 5.04 Performance 0
- 5.05 Esposizione 2
- 5.06 Mostra 2
- 5.07 Manufatto 1
- 5.08 Prototipo d'arte e relativi progetti 0
- 5.09 Cartografia 16
- 5.10 Banca dati 30
- 5.11 Software 1
- 5.12 Altro 296

6 Brevetti 28
- 6.1 Brevetto 28

7 Curatele 273
- 7.1 Curatela 273

8 Research Data 13
- 8.1 Research Data 13

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Innovative SMEs are believed to be of fundamental importance for a territorial context’s social and economic development. Countries have adopted many policies to favour the diffusion of innovative SMEs, even if the results often appear contradictory. This study verifies the effectiveness of a specific decree-law encouraging entrepreneurs to open up their businesses to systematic innovations by analysing the financial and economic performances obtained by 617 innovative SMEs in the five-...

Predicting ground-level nitrogen dioxide concentrations using the BaYesian attention-based deep neural network

Nitrogen dioxide pollution is an ongoing and growing environmental issue that affects human health in developed Western countries. This study introduced a Bayesian attention-based deep neural network model for predicting ground-level nitrogen dioxide concentrations. The proposed model integrates the principles of the Bayesian neural network and the attention mechanism, enabling it to produce predicted values and their associated uncertainties, expressed as standard deviations. The proposed mo...

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