Catalogo Ricerca

Catalogo Ricerca: [29576] Home page macrotipologia

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1 Contributo su Rivista 12719
- 1.1 Articolo in rivista 12546
- 1.2 Recensione in rivista 99
- 1.3 Scheda bibliografica 0
- 1.4 Nota a sentenza 0
- 1.5 Abstract in rivista 72
- 1.6 Traduzione in rivista 2

2 Contributo in Volume 4080
- 2.1 Contributo in volume (Capitolo o Saggio) 3649
- 2.2 Prefazione/Postfazione 97
- 2.3 Breve introduzione 40
- 2.4 Voce (in dizionario o enciclopedia) 163
- 2.5 Traduzione in volume 3
- 2.6 Recensione in volume 10
- 2.7 Schede di catalogo 118

3 Libro 500
- 3.1 Monografia o trattato scientifico 493
- 3.2 Concordanza 0
- 3.3 Indice 0
- 3.4 Bibliografia 1
- 3.5 Edizione critica 2
- 3.6 Pubblicazione di fonti inedite 0
- 3.7 Commento scientifico 1
- 3.8 Traduzione di libro 3

4 Contributo in Atti di Convegno (Proceeding) 10705
- 4.1 Contributo in Atti di convegno 10039
- 4.2 Abstract in Atti di convegno 542
- 4.3 Poster 124

5 Altro 1033
- 5.01 Composizione 10
- 5.02 Disegno 34
- 5.03 Design 115
- 5.04 Performance 1
- 5.05 Esposizione 58
- 5.06 Mostra 104
- 5.07 Manufatto 12
- 5.08 Prototipo d'arte e relativi progetti 17
- 5.09 Cartografia 6
- 5.10 Banca dati 8
- 5.11 Software 4
- 5.12 Altro 372
- 5.13 Progetto architettonico 69
- 5.14 Tesi di dottorato 223

6 Brevetti 114
- 6.1 Brevetto 114

7 Curatele 425
- 7.1 Curatela 425

Prodotti recenti

Metals Biotribology and Oral Microbiota Biocorrosion Mechanisms

During the last decades, metal-based biomaterials have been extensively explored to be used as biocompatible metals for biomedical applications, owing to their superior mechanical properties and corrosion resistance. Consequently, for long-term implanted medical devices, to assure the biomaterials’ reliability, functionality, and biocompatibility, studying the various bio-tribological damage mechanisms to obtain the optimum properties is one of the most important goals. In this review, we con...

AUTOMATIC DIAGNOSTICS AND MONITORING THROUGH HISTORIC BUILDING INFORMATION MODELLING Digital technologies to manage knowledge and preservation of architectural heritage

The refurbishment is challenging as it requires efficient organization and analysis of knowledge about historic heritage. It is very critical because of ambiguities of workflows and information exchanges, dispersion of documentation and use of inadequate tools to reduce risks. Academics and professionals are more and more interested in experimenting with innovative methodologies and operative methods to deal with the uncertain context. In this perspective, the book proposes a possib...

A design strategy for performance improvement of capacitive sensors for in-flight oil-level monitoring aboard helicopters

Cylindrical capacitors are largely employed in avionic industry as contact submerged probes of level sensors for in-flight oil-level monitoring for many reasons: their high robustness, their long MTBF (Mean Time Between Failure), maintenance-free character, virtually infinite resolution readings and last, relatively low cost. However, the cylindrical capacitors suffer of low sensitivity mainly due to small oil permittivity. This is clearly a disadvantage which collides with the ever-increasin...

Modelling Erosion and Floods in Volcanic Environment: The Case Study of the Island of Vulcano (Aeolian Archipelago, Italy)

The re-mobilization of volcaniclastic material poses a hazard factor which, although it decreases with time since the last eruption, remains present in the hydrographic basins of volcanic areas. Herein, we present the results of the numerical modelling of erosive phenomena of volcanic deposits, as well as of flooding in the volcanic area. The proposed approach includes runoff estimation, land use analysis, and the application of hydraulic and erosion modelling. It exploits the Iber software, ...

Improving the sediment and nutrient first-flush prediction and ranking its influencing factors: An integrated machine-learning framework

Pollutant first flush (FF) is a critical phenomenon in urban regions driven by multiple factors. Therefore, having a robust mathematical FF definition and modeling tool along with thorough knowledge of its main influencing variables, is essential. Machine-learning techniques have been widely exploited in the water-quality field; however, their use to predict FF occurrence and pollutant load is limited. This study developed a generic machine-learning framework based on the two most commonly ad...

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