Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Rosa Meo"'
Autor:
Aitor Garcia-Vozmediano, Cristiana Maurella, Leonardo A. Ceballos, Elisabetta Crescio, Rosa Meo, Walter Martelli, Monica Pitti, Daniela Lombardi, Daniela Meloni, Chiara Pasqualini, Giuseppe Ru
Publikováno v:
Veterinary Research, Vol 55, Iss 1, Pp 1-14 (2024)
Abstract Salmonellosis, one of the most common foodborne infections in Europe, is monitored by food safety surveillance programmes, resulting in the generation of extensive databases. By leveraging tree-based machine learning (ML) algorithms, we expl
Externí odkaz:
https://doaj.org/article/bc3027ff4c604a52980f395f67b492ed
Publikováno v:
Sensors, Vol 23, Iss 17, p 7632 (2023)
Machine learning can be used for social good. The employment of artificial intelligence in smart agriculture has many benefits for the environment: it helps small farmers (at a local scale) and policymakers and cooperatives (at regional scale) to tak
Externí odkaz:
https://doaj.org/article/30f501a7fc9b4b67a3fd97ce173c77ca
Publikováno v:
Social Sciences, Vol 12, Iss 7, p 398 (2023)
The challenge of this century is without a doubt to counter global warming. Land management, agriculture, and forests are responsible for 23% of total greenhouse gases (GHGs). In developing countries, such as those in African territories, where econo
Externí odkaz:
https://doaj.org/article/eb75369f7b6c42b7968400afc99fce94
Publikováno v:
Sensors, Vol 21, Iss 14, p 4733 (2021)
We exploit the use of a controller area network (CAN-bus) to monitor sensors on the buses of local public transportation in a big European city. The aim is to advise fleet managers and policymakers on how to reduce fuel consumption so that air pollut
Externí odkaz:
https://doaj.org/article/216cab20b0a5460992143021da8be11e
Publikováno v:
Sensors, Vol 12, Iss 12, Pp 17504-17535 (2012)
The Exploitation of Data from Remote and Human Sensors for Environment Monitoring in the SMAT Project
Externí odkaz:
https://doaj.org/article/fef8d8c086224464bf834959ee668c48
We present two approaches for digital twinning in the context of the forecast of power production by photovoltaic panels. We employ two digital models that are complementary: the first one is a cyber-physical system, simulating the physical propertie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::976f9bdd1469c47d3019afb662e0f8b0
http://hdl.handle.net/2318/1799266
http://hdl.handle.net/2318/1799266
Publikováno v:
Advances in Databases and Information Systems ISBN: 9783031157394
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::013d513695d7577c8b5d6fab8c4a118f
https://doi.org/10.1007/978-3-031-15740-0_3
https://doi.org/10.1007/978-3-031-15740-0_3
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031236174
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef3bda30110ba8cece142bf90b843392
https://hdl.handle.net/2318/1872079
https://hdl.handle.net/2318/1872079
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 4733, p 4733 (2021)
Sensors
Volume 21
Issue 14
Sensors, Vol 21, Iss 4733, p 4733 (2021)
Sensors
Volume 21
Issue 14
We exploit the use of a controller area network (CAN-bus) to monitor sensors on the buses of local public transportation in a big European city. The aim is to advise fleet managers and policymakers on how to reduce fuel consumption so that air pollut
Autor:
Hasan Jamil, Rosa Meo
Publikováno v:
Proceedings of the 35th Annual ACM Symposium on Applied Computing.