Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Antonio M. Rinaldi"'
Publikováno v:
Results in Engineering, Vol 18, Iss , Pp 101107- (2023)
An image contains a lot of information that humans can detect in a very short time. Image captioning aims to detect this information by describing the image content through image and text processing techniques. One of the peculiarities of the propose
Externí odkaz:
https://doaj.org/article/65b31a8317c443afb3fd361065480f87
Publikováno v:
Computers, Vol 11, Iss 12, p 172 (2022)
In the last few years, the spreading of new technologies, such as augmented reality (AR), has been changing our way of life. Notably, AR technologies have different applications in the cultural heritage realm, improving available information for a us
Externí odkaz:
https://doaj.org/article/3419ed6a98e64912b8161f8719bec1db
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 4, p 202 (2021)
This paper explores the link between the current vision of the “smart city” and the notion of urban autopoiesis understood as self-organized/managed urban systems. It seeks to highlight how the use of GIS analysis, applied to the study of informa
Externí odkaz:
https://doaj.org/article/8395904de68f4d4faca13f46e8b070bc
Publikováno v:
Knowledge and Information Systems.
Recent technologies advancements promise to change our lives dramatically in the near future. A new different living society is progressively emerging, witnessed from the conception of novel digital ecosystems, where humans are expected to share thei
Publikováno v:
Knowledge and Information Systems. 64:1283-1303
The rapid increase of available data in different complex contexts needs automatic tasks to manage and process contents. Semantic Web technologies represent the silver bullet in the digital Internet ecosystem to allow human and machine cooperation in
Automatic storytelling is a broad challenge in research contexts such as Natural Language Processing and Contend Based Image Analysis. Despite the considerable achievements of machine learning techniques in these research fields, combining different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b898ab309bbc0a77025ee3b45eb3769f
https://hdl.handle.net/11588/915972
https://hdl.handle.net/11588/915972
Autor:
Alessia Peserico, Lisa Grotta, Camillo Martino, L. Candeloro, Antonio M. Rinaldi, Andrea Ianni, Giuseppe Martino, Francesco Pomilio, M. Di Domenico, Cesare Cammà, Francesca Bennato
Publikováno v:
Journal of Dairy Science. 103:5882-5892
Chemical and organoleptic properties of dairy products largely depend on the action of microorganisms that tend to be selected in cheese during ripening in response to the availability of specific substrates. The aim of this work was to evaluate the
Publikováno v:
International Journal of Information Technology and Web Engineering. 15:1-29
Over the last few decades, data has assumed a central role, becoming one of the most valuable items in society. The exponential increase of several dimensions of data, e.g. volume, velocity, variety, veracity, and value, has led the definition of nov
An ontology-driven multimedia focused crawler based on linked open data and deep learning techniques
Publikováno v:
Multimedia Tools and Applications. 79:7577-7598
Web-page indexing and classification have been studied extensively starting from the early WWW years. A smart intelligent web agent called focused crawler is a specific software able to seek web pages that are relevant to a particular topic domain. I
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030869694
ICCSA (3)
ICCSA (3)
In several contexts, the amount of available digital documents increases every day. One of these challenging contexts is the Web. The management of this large amount of information needs more efficient and effective methods and techniques for analyzi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64bd38ebc51e018e39f316a90472bc29
https://doi.org/10.1007/978-3-030-86970-0_4
https://doi.org/10.1007/978-3-030-86970-0_4