Zobrazeno 1 - 10
of 308
pro vyhledávání: '"Barbara Pernici"'
Autor:
Carlo Bono, Mehmet Oguz Mulayim, Cinzia Cappiello, Mark James Carman, Jesus Cerquides, Jose Luis Fernandez-Marquez, Maria Rosa Mondardini, Edoardo Ramalli, Barbara Pernici
Publikováno v:
IEEE Access, Vol 11, Pp 15329-15347 (2023)
Social media have the potential to provide timely information about emergency situations and sudden events. However, finding relevant information among the millions of posts being added every day can be difficult, and in current approaches developing
Externí odkaz:
https://doaj.org/article/362294e9c3ae4c9bbf3c996bf47a5570
Autor:
Edoardo Ramalli, Gabriele Scalia, Barbara Pernici, Alessandro Stagni, Alberto Cuoci, Tiziano Faravelli
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
The development of scientific predictive models has been of great interest over the decades. A scientific model is capable of forecasting domain outcomes without the necessity of performing expensive experiments. In particular, in combustion kinetics
Externí odkaz:
https://doaj.org/article/310eb2be797e444da27892ce52c24f65
Autor:
Cinzia Cappiello, Giovanni Meroni, Barbara Pernici, Pierluigi Plebani, Mattia Salnitri, Monica Vitali, Diana Trojaniello, Ilio Catallo, Alberto Sanna
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
Pervasive sensing is increasing our ability to monitor the status of patients not only when they are hospitalized but also during home recovery. As a result, lots of data are collected and are available for multiple purposes. If operations can take a
Externí odkaz:
https://doaj.org/article/0e1c04b88cce47fa954ef47362cf45f4
Autor:
Clemens Havas, Bernd Resch, Chiara Francalanci, Barbara Pernici, Gabriele Scalia, Jose Luis Fernandez-Marquez, Tim Van Achte, Gunter Zeug, Maria Rosa (Rosy) Mondardini, Domenico Grandoni, Birgit Kirsch, Milan Kalas, Valerio Lorini, Stefan Rüping
Publikováno v:
Sensors, Vol 17, Iss 12, p 2766 (2017)
In the first hours of a disaster, up-to-date information about the area of interest is crucial for effective disaster management. However, due to the delay induced by collecting and analysing satellite imagery, disaster management systems like the Co
Externí odkaz:
https://doaj.org/article/cd59687e97164ffeb62f6c35ee3cf9ec
Autor:
Barbara Pernici
This open access book presents nine outstanding doctoral dissertations in Information Technology from the Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy. Information Technology has always been highly interdisc
Publikováno v:
Journal of Data and Information Quality.
In a data-driven culture, in which analytics applications are the main resources for supporting decision-making, the use of high-quality datasets is mandatory to minimize errors and risks. For this reason, data analysis tasks need to be preceded by a
Autor:
Edoardo Ramalli, Barbara Pernici
Publikováno v:
Information Discovery and Delivery.
Purpose Experiments are the backbone of the development process of data-driven predictive models for scientific applications. The quality of the experiments directly impacts the model performance. Uncertainty inherently affects experiment measurement
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783031342066
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7461d0b89bc8cba88f98294c0d0f86fb
https://doi.org/10.1007/978-3-031-34207-3_20
https://doi.org/10.1007/978-3-031-34207-3_20
Autor:
Edoardo Ramalli, Timoteo Dinelli, Andrea Nobili, Alessandro Stagni, Barbara Pernici, Tiziano Faravelli
Publikováno v:
Chemical Engineering Journal. 454:140149
Autor:
Edoardo Ramalli, Timoteo Dinelli, Andrea Nobili, Alessandro Stagni, Barbara Pernici, Tiziano Faravelli
Publikováno v:
SSRN Electronic Journal.