Zobrazeno 1 - 10
of 200
pro vyhledávání: '"Massimo, Esposito"'
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/72130befe56e43fc9ab2c17a41687dcb
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-10 (2024)
Abstract The demand for automated systems monitoring and supporting patients in their home-based recovery programs is substantial. While emerging technologies have been proposed as potential solutions to enhance at-home patient care, limited systems
Externí odkaz:
https://doaj.org/article/c8c24c75b4d842b0adc195a3178c2983
Best practices for portfolio optimization by quantum computing, experimented on real quantum devices
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract In finance, portfolio optimization aims at finding optimal investments maximizing a trade-off between return and risks, given some constraints. Classical formulations of this quadratic optimization problem have exact or heuristic solutions,
Externí odkaz:
https://doaj.org/article/7078d5a92a494c4988b710bbe3bae3d8
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e26297- (2024)
Over the past decade, there has been a notable surge in AI-driven research, specifically geared toward enhancing crucial clinical processes and outcomes. The potential of AI-powered decision support systems to streamline clinical workflows, assist in
Externí odkaz:
https://doaj.org/article/48a254f432b548288fd6b3c9c000afde
Autor:
Rosario Catelli, Luca Bevilacqua, Nicola Mariniello, Vladimiro Scotto Di Carlo, Massimo Magaldi, Hamido Fujita, Giuseppe De Pietro, Massimo Esposito
Publikováno v:
IEEE Access, Vol 11, Pp 52214-52225 (2023)
The growth of the online review phenomenon, which has expanded from specialised trade magazines to end users via online platforms, has also increasingly involved the cultural heritage of countries, a source of tourism and growth driver of local econo
Externí odkaz:
https://doaj.org/article/3b0c29303c954893b8925ddf2106a5ab
Publikováno v:
IEEE Access, Vol 11, Pp 11024-11043 (2023)
Artificial intelligence technologies are considered crucial in supporting a decentralized model of care in which therapeutic interventions are provided from a distance. In the last years, various approaches have been proposed to support remote monito
Externí odkaz:
https://doaj.org/article/b1ef526e6d4e4bb4a25280a6b1e335b3
Autor:
Marco Pota, Gaetano Pecoraro, Guido Rianna, Alfredo Reder, Michele Calvello, Massimo Esposito
Publikováno v:
Discover Artificial Intelligence, Vol 2, Iss 1, Pp 1-11 (2022)
Abstract Landslide early warning systems at regional scale are typically based on correlations between landslides that occurred in the past and rainfall monitoring data in order to identify trigger rainfall thresholds. Recently, the availability of l
Externí odkaz:
https://doaj.org/article/997fb334cc5747d1949b97e79d70ca7b
Autor:
Francesco Gargiulo, Aniello Minutolo, Raffaele Guarasci, Emanuele Damiano, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito
Publikováno v:
IEEE Access, Vol 10, Pp 75144-75157 (2022)
In last years, coreference resolution has received a sensibly performance boost exploiting different pre-trained Neural Language Models, from BERT to SpanBERT until Longformer. This work is aimed at assessing, for the first time, the impact of ELECTR
Externí odkaz:
https://doaj.org/article/3e41dabe6f574a6e9a4c32a1e1d3ed76
Publikováno v:
IEEE Access, Vol 10, Pp 26859-26875 (2022)
Recently, many approaches were proposed to support human resource management in finding the best human resources for available jobs. However, existing solutions do not effectively evaluate employees’ skills, or they do only partially, neither provi
Externí odkaz:
https://doaj.org/article/211bc83df3a4436b83cda4281118623c
Publikováno v:
Array, Vol 14, Iss , Pp 100138- (2022)
Externí odkaz:
https://doaj.org/article/d7a6e89b4a30416da07dadd9a5c02e7d