Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Stefano Proto"'
Autor:
Stefano Proto, Evelina Di Corso, Daniele Apiletti, Luca Cagliero, Tania Cerquitelli, Giovanni Malnati, Davide Mazzucchi
Publikováno v:
IEEE Access, Vol 8, Pp 14953-14964 (2020)
The overwhelming increase of parcel transports has prompted the need for effective and scalable intelligent logistics systems. In parallel, with the advent of Industry 4.0, a tight integration of Internet of Things technologies and Big Data analytics
Externí odkaz:
https://doaj.org/article/add7d6fb701947099611c8b783c89681
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 5125 (2022)
In recent years, the number and heterogeneity of large scientific datasets have been growing steadily. Moreover, the analysis of these data collections is not a trivial task. There are many algorithms capable of analyzing large datasets, but paramete
Externí odkaz:
https://doaj.org/article/62bf56d2b1f44231adbcba1b5accb89e
Publikováno v:
Applied Sciences; Volume 12; Issue 10; Pages: 5125
In recent years, the number and heterogeneity of large scientific datasets have been growing steadily. Moreover, the analysis of these data collections is not a trivial task. There are many algorithms capable of analyzing large datasets, but paramete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3149d139906281e66952d78eac87b205
Autor:
Giovanni Malnati, Davide Mazzucchi, Daniele Apiletti, Stefano Proto, Luca Cagliero, Evelina Di Corso, Tania Cerquitelli
Publikováno v:
IEEE Access, Vol 8, Pp 14953-14964 (2020)
The overwhelming increase of parcel transports has prompted the need for effective and scalable intelligent logistics systems. In parallel, with the advent of Industry 4.0, a tight integration of Internet of Things technologies and Big Data analytics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f465b87dd258ec132186ed7b5623ed52
https://ieeexplore.ieee.org/document/8959207/
https://ieeexplore.ieee.org/document/8959207/
Autor:
Roberto Ballette, Maria Pérez, Celeste Are, Nihan Yayik, Stefano Proto, Joan Bosch, Mercedes Amat, Federica Caso
Publikováno v:
Dipòsit Digital de la UB
Universidad de Barcelona
Universidad de Barcelona
The synthesis of enantiopure ABCE and ABCD tetracyclic advanced intermediates en route to madangamine alkaloids and studies for the construction of the triunsaturated 15-membered D ring of madangamine B and the saturated 13-membered D ring of madanga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c866936bb2606de4a8c5c9309ec262f
https://pubmed.ncbi.nlm.nih.gov/31584737
https://pubmed.ncbi.nlm.nih.gov/31584737
Autor:
Alfonso Capozzoli, Andrea Nasso, Silvia Casagrande, Stefano Proto, Elena Baralis, Marco Mellia, Martina Tamburini, Daniele Mazzarelli, Tania Cerquitelli, Evelina Di Corso
Publikováno v:
2019 International Conference on Smart Energy Systems and Technologies (SEST).
This paper presents a new data mining engine, named EXTREMA (EXploitation of Turin high Resolution Energy MAps), to automatically visualise high-resolution energy maps exploring interesting and human-readable knowledge items from large collections of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed54ad9abd2cc303488d5a744045c397
https://doi.org/10.1109/sest.2019.8849061
https://doi.org/10.1109/sest.2019.8849061
Publikováno v:
BIRTE
Automating predictive machine learning entails the capability of properly triggering the update of the trained models. To this aim, the degradation of predictive models has to be continuously evaluated over time to detect data distribution drifts bet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1abca5e1472c252e098a66b99c173c41
https://doi.org/10.1145/3350489.3350494
https://doi.org/10.1145/3350489.3350494
Autor:
Alberto Macii, Daniele Apiletti, Tania Cerquitelli, Enrico Macii, Elena Baralis, Stefano Proto, Francesco Ventura
Publikováno v:
BigData Congress
In recent years, the number of industry-4.0-enabled manufacturing sites has been continuously growing, and both the quantity and variety of signals and data collected in plants are increasing at an unprecedented rate. At the same time, the demand of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fc84354190e38bb6e88a4f72f98da3c
https://doi.org/10.1109/bigdatacongress.2019.00032
https://doi.org/10.1109/bigdatacongress.2019.00032
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030302771
ADBIS (Short Papers and Workshops)
ADBIS (Short Papers and Workshops)
Nowadays, an exponential growth in biological data has been recorded, including both structured and unstructured data. One of the main computational and scientific challenges in the modern age is to extract useful information from unstructured textua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c93018f1eb56df6a1f17d3d2e9ca70c5
https://doi.org/10.1007/978-3-030-30278-8_4
https://doi.org/10.1007/978-3-030-30278-8_4
Autor:
Tania Cerquitelli, EVELINA DI CORSO, Stefano, Proto, Alfonso Capozzoli, Fabio, Bellotti, Cassese, Maria Giovanna, ELENA MARIA BARALIS, Marco Mellia, Silvia, Casagrande, Martina, Tamburini
Publikováno v:
Politecnico di Torino-IRIS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9ded7e0cf0fc08cad8a66ce8d9592f06
http://hdl.handle.net/11583/2734573
http://hdl.handle.net/11583/2734573