Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Enrico Barbierato"'
Publikováno v:
Eng, Vol 5, Iss 3, Pp 2170-2205 (2024)
The increasing sophistication of cyberattacks necessitates the development of advanced detection systems capable of accurately identifying and mitigating potential threats. This research addresses the critical challenge of cyberattack detection by em
Externí odkaz:
https://doaj.org/article/18004fb35aea4abc8be70f58636f4639
Autor:
Enrico Barbierato, Alice Gatti
Publikováno v:
IEEE Access, Vol 12, Pp 23989-24013 (2024)
The pervasive deployment of Deep Learning models has recently prompted apprehensions regarding their ecological footprint, owing to the exorbitant levels of energy consumption necessitated by the training and inference processes. The term “Red AI
Externí odkaz:
https://doaj.org/article/13798e3813c343f59f0ac2d323a3d0e8
Autor:
Elena Pagano, Enrico Barbierato
Publikováno v:
AI, Vol 5, Iss 1, Pp 17-37 (2023)
Air pollution is a paramount issue, influenced by a combination of natural and anthropogenic sources, various diffusion modes, and profound repercussions for the environment and human health. Herein, the power of time series data becomes evident, as
Externí odkaz:
https://doaj.org/article/685756e297f3437e9f92db774087d629
Autor:
Enrico Barbierato, Alice Gatti
Publikováno v:
Future Internet, Vol 16, Iss 10, p 362 (2024)
The rapid urbanization trend underscores the need for effective management of city resources and services, making the concept of smart cities increasingly important. This study leverages the IMD Smart City Index (SCI) dataset to analyze and rank smar
Externí odkaz:
https://doaj.org/article/cdec33c0ef024600b80ef5859db6b908
Publikováno v:
IEEE Access, Vol 11, Pp 115493-115510 (2023)
In the realm of data-driven systems, understanding and controlling biases in datasets emerges as a critical challenge. These biases, defined in this study as systematic discrepancies, have the potential to skew algorithmic outcomes and even compromis
Externí odkaz:
https://doaj.org/article/5b87d9c03d06447d91334a2f1fba3003
Publikováno v:
Smart Cities, Vol 5, Iss 2, Pp 728-755 (2022)
Defining smart city pillars, and their nature and essence, continues to be debated in the scientific literature. The vast amount of information collected by electronic devices, often regarded merely as a means of rationalizing the use of resources an
Externí odkaz:
https://doaj.org/article/d3f8cd3625944840a93bbd43953193c9
Publikováno v:
AI, Vol 3, Iss 2, Pp 331-352 (2022)
Evaluating AI is a challenging task, as it requires an operative definition of intelligence and the metrics to quantify it, including amongst other factors economic drivers, depending on specific domains. From the viewpoint of AI basic research, the
Externí odkaz:
https://doaj.org/article/a3c124b6ab3b47069b6e70a60ad68542
Publikováno v:
Sensors, Vol 23, Iss 9, p 4404 (2023)
This work investigates the effectiveness of deep neural networks within the realm of battery charging. This is done by introducing an innovative control methodology that not only ensures safety and optimizes the charging current, but also substantial
Externí odkaz:
https://doaj.org/article/9bad5210b7d04372aaaca91eb9b500c9
Publikováno v:
Informatics, Vol 10, Iss 1, p 5 (2023)
In the last decade, the techniques of news aggregation and summarization have been increasingly gaining relevance for providing users on the web with condensed and unbiased information. Indeed, the recent development of successful machine learning al
Externí odkaz:
https://doaj.org/article/9e19669ad48946d8b790dca2ade3d825
Autor:
Enrico Barbierato
Publikováno v:
Doctor Virtualis, Vol 16 (2021)
L’analisi di un periodo storico attraverso la sua narrazione, sia esso il Medioevo o persino un’epoca più recente, considera una moltitudine di fonti, assai eterogenee e di forma non sempre immediata. In alcuni casi uno studioso può nutrire un
Externí odkaz:
https://doaj.org/article/55121b5c9cd2490bb021af7962d42a7a