Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Franca Delmastro"'
Publikováno v:
IEEE Access, Vol 8, Pp 65573-65590 (2020)
Personalised training of motor and cognitive abilities is fundamental to help older people maintain a good quality of life, especially in case of frailty conditions. However, the training activity can increase the stress level, especially in persons
Externí odkaz:
https://doaj.org/article/225c4593df0e478bb7fc0b6de996c011
Publikováno v:
Data in Brief, Vol 37, Iss , Pp 107164- (2021)
This paper describes a data collection campaign and the resulting dataset derived from smartphone sensors characterizing the daily life activities of 3 volunteers in a period of two weeks. The dataset is released as a collection of CSV files containi
Externí odkaz:
https://doaj.org/article/f25baba2dacd447d9e5f06048b565b33
Publikováno v:
Data in Brief, Vol 32, Iss , Pp 106102- (2020)
This paper describes a data collection campaign and a dataset of BLE beacons for detecting and analysing human social interactions. The dataset has been collected by involving 15 volunteers that interacted in indoor environments for a total of 11 hou
Externí odkaz:
https://doaj.org/article/30920b5d863c4da88fec5718bd9c516b
Autor:
Franca Delmastro, Cristina Dolciotti, Davide La Rosa, Flavio Di Martino, Massimo Magrini, Simone Coscetti, Filippo Palumbo
Publikováno v:
Information, Vol 10, Iss 8, p 253 (2019)
The ageing population has become an increasing phenomenon world-wide, leading to a growing need for specialised help. Improving the quality of life of older people can lower the risk of depression and social isolation, but it requires a multi-dimensi
Externí odkaz:
https://doaj.org/article/39248b14dc3b496893e4cf461f27e438
Publikováno v:
IEEE Sensors Journal (Vol. 17, Issue 23, Dec.1, 1 2017)
This work presents an innovative, multidisciplinary and cost-effective ecosystem of ICT solutions able to collect, process and distribute geo-referenced information about the influence of pollution and micro-climatic conditions on the quality of life
Externí odkaz:
http://arxiv.org/abs/2205.15147
Autor:
Eleonora Borgia, Franca Delmastro
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2007 (2007)
A link between a pair of nodes is defined unstable if it is characterized by a packet loss which is not negligible in one or both directions. The presence of unstable links in multihop ad hoc networks is very likely and it depends on several factors
Externí odkaz:
https://doaj.org/article/d2cee5507f7a4c08aaa79f304b79d388
Autor:
Andrea Passarella, Franca Delmastro
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2007 (2007)
There has recently been an increasing interest in convergence of p2p and ad hoc network research. Actually, p2p systems and multihop ad hoc networks share similar features, such as self-organisation, decentralisation, self-healing, and so forth. It i
Externí odkaz:
https://doaj.org/article/f258bde3052e49479d618cb8fe31f41b
Publikováno v:
Data in Brief, Vol 37, Iss, Pp 107164-(2021)
Data in Brief
Data in Brief
This paper describes a data collection campaign and the resulting dataset derived from smartphone sensors characterizing the daily life activities of 3 volunteers in a period of two weeks. The dataset is released as a collection of CSV files containi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4889f7fc050fd1616d45b260978375cf
http://arxiv.org/abs/2307.03586
http://arxiv.org/abs/2307.03586
Disease detection from smartphone data represents an open research challenge in mobile health (m-health) systems. COVID-19 and its respiratory symptoms are an important case study in this area and their early detection is a potential real instrument
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b2c397b3254b81e45cb9034765d84b8
http://arxiv.org/abs/2307.02975
http://arxiv.org/abs/2307.02975
Publikováno v:
Online social networks and media 3 (2017): 75–97. doi:10.1016/j.osnem.2017.10.005
info:cnr-pdr/source/autori:M. G. Campana; F. Delmastro/titolo:Recommender Systems for Online and Mobile Social Networks: A survey/doi:10.1016%2Fj.osnem.2017.10.005/rivista:Online social networks and media/anno:2017/pagina_da:75/pagina_a:97/intervallo_pagine:75–97/volume:3
info:cnr-pdr/source/autori:M. G. Campana; F. Delmastro/titolo:Recommender Systems for Online and Mobile Social Networks: A survey/doi:10.1016%2Fj.osnem.2017.10.005/rivista:Online social networks and media/anno:2017/pagina_da:75/pagina_a:97/intervallo_pagine:75–97/volume:3
Recommender Systems (RS) currently represent a fundamental tool in online services, especially with the advent of Online Social Networks (OSN). In this case, users generate huge amounts of contents and they can be quickly overloaded by useless inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3388f6c3a4fa2653d2e583eda467c019
http://arxiv.org/abs/2307.01207
http://arxiv.org/abs/2307.01207