Výsledky vyhledávání - "Alessandro Di Bari"

Effect of roughness small scales on the adhesion of randomly rough surfaces with high fractal dimension

Autor: Violano, Guido, Dini, Daniele, Alessandro Di Bari, Afferrante, Luciano

Publikováno v: IOP Conference Series: Materials Science and Engineering. 1275:012024

Surface roughness affects several tribological phenomena like adhesion. In this work, JKR-like experimental tests were performed between Polydimethylsiloxane (PDMS) spherical samples and flat glass substrates with different surface roughness properti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b8069f1304ecd121f1e958ec36be2db
https://doi.org/10.1088/1757-899x/1275/1/012024

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Social Determinant Trends of COVID-19: An Analysis Using Knowledge Graphs from Published Evidence and Online Trends

Autor: Martin, Gleize, Natasha, Mulligan, Alessandro, Di Bari, Joao H, Bettencourt-Silva

Publikováno v: Studies in health technology and informatics. 281

This paper presents the results of a new approach to discover related health and social factors during the COVID-19 pandemic. The approach leverages a knowledge graph of related concepts mined from a corpus of published evidence (PubMed) prior to the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::f923a2d956f5a86396b2fa4a84d0bf1f
https://pubmed.ncbi.nlm.nih.gov/34042675

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Social Determinant Trends of COVID-19: An Analysis Using Knowledge Graphs from Published Evidence and Online Trends

Autor: Joao H. Bettencourt-Silva, Natasha Mulligan, Alessandro Di Bari, Martin Gleize

Publikováno v: MIE

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c9eb3681e1e4e324d50bf04f6a6e768e
https://doi.org/10.3233/shti210271

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Towards Model Driven Architectures for Human Language Technologies

Autor: Kateryna Tymoshenko, Guido Vetere, Alessandro Di Bari

Publikováno v: OIAF4HLT@COLING

Developing multi-purpose Human Language Technologies (HLT) pipelines and integrating them into the large scale software environments is a complex software engineering task. One needs to orchestrate a variety of new and legacy Natural Language Process

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8ea25a0f88fb2e002c1e59ce8a9c8060
https://doi.org/10.3115/v1/w14-5203

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