PORTO @ Archivio Istituzionale della Ricerca

IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.

Prodotti recenti

High concentration Yb-Er co-doped multi-component phosphate glasses for compact eye-safe optical amplifiers

In recent years, the increasing need of airborne LIght Detection And Ranging (LIDAR) systems for environmental monitoring and surveillance has noticeably boosted the development of compact eye-safe optical amplifiers. In this scenario, multi-component phosphate glasses can be regarded as ideal ca...

Modeling and estimating the subjects’ diversity of opinions in video quality assessment: a neural network based approach

Subjective experiments are considered the most reliable way to assess the perceived visual quality. However, observers’ opinions are characterized by large diversity: in fact, even the same observer is often not able to exactly repeat his first opinion when rating again a given sti...

Processing of hybrid laminates integrating ZrB2/SiC and SiC layers

Tape casting technique was used to develop hybrid laminates constituting by SiC and ZrB2-SiC layers; the main aim is obtaining a structure which integrate the unique properties of these materials and potentially extent their application temperature range. Multilayer with ZrB2-SiC layers stac...

PORTO @ Archivio Istituzionale della Ricerca

Prodotti recenti

High concentration Yb-Er co-doped multi-component phosphate glasses for compact eye-safe optical amplifiers

Modeling and estimating the subjects’ diversity of opinions in video quality assessment: a neural network based approach

Processing of hybrid laminates integrating ZrB2/SiC and SiC layers

Prediction of Solar Particle Events with SRAM-Based Soft Error Rate Monitor and Supervised Machine Learning

Hardware Accelerator Design with Supervised Machine Learning for Solar Particle Event Prediction in Space Applications

Novità

Informazioni e supporto su IRIS

Supporto IRIS

Open Access

Supporto alla valutazione

Scopri

PORTO @ Archivio Istituzionale della Ricerca

Cerca

Prodotti recenti

High concentration Yb-Er co-doped multi-component phosphate glasses for compact eye-safe optical amplifiers

Modeling and estimating the subjects’ diversity of opinions in video quality assessment: a neural network based approach

Processing of hybrid laminates integrating ZrB2/SiC and SiC layers

Prediction of Solar Particle Events with SRAM-Based Soft Error Rate Monitor and Supervised Machine Learning

Hardware Accelerator Design with Supervised Machine Learning for Solar Particle Event Prediction in Space Applications

Novità

Informazioni e supporto su IRIS

Supporto IRIS

Open Access

Supporto alla valutazione

Scopri