Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Paolo Barsocchi"'
Autor:
Manlio Bacco, Bhoi Priya Brata, Paolo Barsocchi, Kalpana Sharma, Deepak Kumar Swain, Veeresh S. Wali, Akash Kumar Bhoi
Publikováno v:
Agriculture, Vol 11, Iss 837, p 837 (2021)
Agriculture (Basel) 11 (2021). doi:10.3390/agriculture11090837
info:cnr-pdr/source/autori:Bhoi P.B.; Wali V.S.; Swain D.K.; Sharma K.; Bhoi A.K.; Bacco M.; Barsocchi P./titolo:Input use efficiency management for Paddy Production Systems in India: a machine learning approach/doi:10.3390%2Fagriculture11090837/rivista:Agriculture (Basel)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:11
Agriculture
Volume 11
Issue 9
Agriculture (Basel) 11 (2021). doi:10.3390/agriculture11090837
info:cnr-pdr/source/autori:Bhoi P.B.; Wali V.S.; Swain D.K.; Sharma K.; Bhoi A.K.; Bacco M.; Barsocchi P./titolo:Input use efficiency management for Paddy Production Systems in India: a machine learning approach/doi:10.3390%2Fagriculture11090837/rivista:Agriculture (Basel)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:11
Agriculture
Volume 11
Issue 9
This research illustrates the technical efficiency of the pan-India paddy cultivation status obtained through a stochastic frontier approach. The results suggest that the mean technical efficiency varies from 0.64 in Gujarat to 0.95 in Odisha. Inputs
Publikováno v:
Applied sciences 11 (2021). doi:10.3390/app11020581
Applied Sciences, Vol 11, Iss 581, p 581 (2021)
info:cnr-pdr/source/autori:Pramanik M.; Pradhan R.; Nandy P.; Bhoi A.K.; Barsocchi P./titolo:Machine learning methods with decision forests for Parkinson's detection/doi:10.3390%2Fapp11020581/rivista:Applied sciences/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:11
Applied Sciences
Volume 11
Issue 2
Applied Sciences, Vol 11, Iss 581, p 581 (2021)
info:cnr-pdr/source/autori:Pramanik M.; Pradhan R.; Nandy P.; Bhoi A.K.; Barsocchi P./titolo:Machine learning methods with decision forests for Parkinson's detection/doi:10.3390%2Fapp11020581/rivista:Applied sciences/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:11
Applied Sciences
Volume 11
Issue 2
Biomedical engineers prefer decision forests over traditional decision trees to design state-of-the-art Parkinson&rsquo
s Detection Systems (PDS) on massive acoustic signal data. However, the challenges that the researchers are facing with decis
s Detection Systems (PDS) on massive acoustic signal data. However, the challenges that the researchers are facing with decis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77bb6f30960ab28e10d9e546c28dbb26
https://openportal.isti.cnr.it/doc?id=people______::d47818f1c9f1de46c3d5e15da97d2cea
https://openportal.isti.cnr.it/doc?id=people______::d47818f1c9f1de46c3d5e15da97d2cea
Publikováno v:
Sustainability (Basel) 13 (2021). doi:10.3390/su13095279
Sustainability, Vol 13, Iss 5279, p 5279 (2021)
info:cnr-pdr/source/autori:Saha L.; Tripathy H.K.; Nayak S.R.; Bhoi A.K.; Barsocchi P./titolo:Amalgamation of customer relationship management and data analytics in different business sectors-a systematic literature review/doi:10.3390%2Fsu13095279/rivista:Sustainability (Basel)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:13
Sustainability, Vol 13, Iss 5279, p 5279 (2021)
info:cnr-pdr/source/autori:Saha L.; Tripathy H.K.; Nayak S.R.; Bhoi A.K.; Barsocchi P./titolo:Amalgamation of customer relationship management and data analytics in different business sectors-a systematic literature review/doi:10.3390%2Fsu13095279/rivista:Sustainability (Basel)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:13
Customization of products or services is a strategy that the business sector has embraced to build a better relationship with the customers to cater to their individual needs and thus providing them a fulfilling experience. This whole process is know
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::891798cb1a405178ac0e2cd9d1f5933b
https://openportal.isti.cnr.it/doc?id=people______::707aff0f51649ec9fda673581c5086f0
https://openportal.isti.cnr.it/doc?id=people______::707aff0f51649ec9fda673581c5086f0
Publikováno v:
Biomedical signal processing and control
69 (2021). doi:10.1016/j.bspc.2021.102898
info:cnr-pdr/source/autori:Satapathy S.K.; Bhoi A.K.; Loganathan D.; Khandelwal B.; Barsocchi P./titolo:Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal/doi:10.1016%2Fj.bspc.2021.102898/rivista:Biomedical signal processing and control (Print)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:69
69 (2021). doi:10.1016/j.bspc.2021.102898
info:cnr-pdr/source/autori:Satapathy S.K.; Bhoi A.K.; Loganathan D.; Khandelwal B.; Barsocchi P./titolo:Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal/doi:10.1016%2Fj.bspc.2021.102898/rivista:Biomedical signal processing and control (Print)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:69
Sleep staging is an important part of diagnosing the different types of sleep-related disorders because any discrepancies in the sleep scoring process may cause serious health problems such as misinterpretations of sleep patterns, medication errors,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::780f9e949d531e3716222bf8d963b116
https://openportal.isti.cnr.it/doc?id=people______::82f58c59d9b8101ad9c02b0312c61d65
https://openportal.isti.cnr.it/doc?id=people______::82f58c59d9b8101ad9c02b0312c61d65
Autor:
Paolo Baronti, Michele Girolami, Joaquín Torres-Sospedra, Darwin Quezada-Gaibor, Francesco Furfari, Paolo Barsocchi, Antonino Crivello, Filippo Palumbo, Germán M. Mendoza Silva
Publikováno v:
Internet of Things 13 (2021): 1–14. doi:10.1016/j.iot.2020.100334
Repositori Universitat Jaume I
Universitat Jaume I
Internet of Things
info:cnr-pdr/source/autori:Furfari F.; Crivello A.; Baronti P.; Barsocchi P.; Girolami M.; Palumbo F.; Quezada-Gaibor D.; Mendoza Silva G.M.; Torres-Sospedra J./titolo:Discovering location based services: a unified approach for heterogeneous indoor localization systems/doi:10.1016%2Fj.iot.2020.100334/rivista:Internet of Things/anno:2021/pagina_da:1/pagina_a:14/intervallo_pagine:1–14/volume:13
Repositori Universitat Jaume I
Universitat Jaume I
Internet of Things
info:cnr-pdr/source/autori:Furfari F.; Crivello A.; Baronti P.; Barsocchi P.; Girolami M.; Palumbo F.; Quezada-Gaibor D.; Mendoza Silva G.M.; Torres-Sospedra J./titolo:Discovering location based services: a unified approach for heterogeneous indoor localization systems/doi:10.1016%2Fj.iot.2020.100334/rivista:Internet of Things/anno:2021/pagina_da:1/pagina_a:14/intervallo_pagine:1–14/volume:13
A preprint version of the paper entitled “Discovering location based services: A unified approach for heterogeneous indoor localization systems". The technological solutions and communication capabilities offered by the Internet of Things paradigm,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eed1e74e8766aaf7595afef91b865789
https://openportal.isti.cnr.it/doc?id=people______::7596e4504acee1ac3972b43362bb7bde
https://openportal.isti.cnr.it/doc?id=people______::7596e4504acee1ac3972b43362bb7bde
Publikováno v:
Hybrid Artificial Intelligence and IoT in Healthcare, edited by Bhoi A.K., Mallick P.K., Mohanty M.N., de Albuquerque V.H.C., pp. 311–328, 2021
info:cnr-pdr/source/autori:Bairagya D.; Tripathy H.K.; Bhoi A.K.; Barsocchi P./titolo:Impact of Artificial Intelligence in health care: a study/titolo_volume:Hybrid Artificial Intelligence and IoT in Healthcare/curatori_volume:Bhoi A.K., Mallick P.K., Mohanty M.N., de Albuquerque V.H.C./editore:/anno:2021
Hybrid Artificial Intelligence and IoT in Healthcare ISBN: 9789811629716
info:cnr-pdr/source/autori:Bairagya D.; Tripathy H.K.; Bhoi A.K.; Barsocchi P./titolo:Impact of Artificial Intelligence in health care: a study/titolo_volume:Hybrid Artificial Intelligence and IoT in Healthcare/curatori_volume:Bhoi A.K., Mallick P.K., Mohanty M.N., de Albuquerque V.H.C./editore:/anno:2021
Hybrid Artificial Intelligence and IoT in Healthcare ISBN: 9789811629716
The acceptance of AI in health care relates to the analysis of the huge amount of information that is generated each day and the limitation of physicians to address these needs. The growth of data complexity in the medical domain refers to the increa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8187fcf8fae0eb23f5a4f1e1c510994d
https://link.springer.com/chapter/10.1007/978-981-16-2972-3_15
https://link.springer.com/chapter/10.1007/978-981-16-2972-3_15
Publikováno v:
Hybrid Artificial Intelligence and IoT in Healthcare, edited by Bhoi A.K., Mallick P.K., Mohanty M.N., de Albuquerque V.H.C., pp. 1–20, 2021
info:cnr-pdr/source/autori:Awotunde J.B.; Bhoi A.K.; Barsocchi P./titolo:Hybrid cloud%2Ffog environment for healthcare: an exploratory study, opportunities, challenges, and future prospects/titolo_volume:Hybrid Artificial Intelligence and IoT in Healthcare/curatori_volume:Bhoi A.K., Mallick P.K., Mohanty M.N., de Albuquerque V.H.C./editore:/anno:2021
Hybrid Artificial Intelligence and IoT in Healthcare ISBN: 9789811629716
info:cnr-pdr/source/autori:Awotunde J.B.; Bhoi A.K.; Barsocchi P./titolo:Hybrid cloud%2Ffog environment for healthcare: an exploratory study, opportunities, challenges, and future prospects/titolo_volume:Hybrid Artificial Intelligence and IoT in Healthcare/curatori_volume:Bhoi A.K., Mallick P.K., Mohanty M.N., de Albuquerque V.H.C./editore:/anno:2021
Hybrid Artificial Intelligence and IoT in Healthcare ISBN: 9789811629716
The healthcare system has been on the frontline in recent years, and new technologies have greatly benefited healthcare. Researchers have tried to find solutions to different problems associated with the healthcare system by applied various modern te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9e3dc5e7321d87423a0d37b4b880e8b
https://openportal.isti.cnr.it/doc?id=people______::9744cc7b3bf10bc13290bc9ef355505d
https://openportal.isti.cnr.it/doc?id=people______::9744cc7b3bf10bc13290bc9ef355505d
Autor:
Paolo Barsocchi, Akash Kumar Bhoi, Sushruta Mishra, Pradeep Kumar Mallick, Hrudaya Kumar Tripathy
Publikováno v:
Sensors (Basel) 20 (2020). doi:10.3390/s20144036
info:cnr-pdr/source/autori:Mishra S.; Tripathy H.K.; Mallick P.K.; Bhoi A.K.; Barsocchi P./titolo:EAGA-MLP-An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis/doi:10.3390%2Fs20144036/rivista:Sensors (Basel)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:20
Sensors
Volume 20
Issue 14
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 4036, p 4036 (2020)
info:cnr-pdr/source/autori:Mishra S.; Tripathy H.K.; Mallick P.K.; Bhoi A.K.; Barsocchi P./titolo:EAGA-MLP-An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis/doi:10.3390%2Fs20144036/rivista:Sensors (Basel)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:20
Sensors
Volume 20
Issue 14
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 4036, p 4036 (2020)
Disease diagnosis is a critical task which needs to be done with extreme precision. In recent times, medical data mining is gaining popularity in complex healthcare problems based disease datasets. Unstructured healthcare data constitutes irrelevant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62e11d90551b236e25bb06fc7ac775e7
https://publications.cnr.it/doc/439066
https://publications.cnr.it/doc/439066
Autor:
Michele Betti, Stefano Mammolito, Daniele Pellegrini, Maria Girardi, Giacomo Zini, Paolo Barsocchi, Gianni Bartoli
Publikováno v:
International journal of architectural heritage 15 (2020). doi:10.1080/15583058.2020.1719229
International journal of architectural heritage (2020). doi:10.1080/15583058.2020.1719229
info:cnr-pdr/source/autori:Barsocchi P.; Bartoli G.; Betti M.; Girardi M.; Mammolito S.; Pellegrini D.; Zini G./titolo:Wireless sensor networks for continuous structural health monitoring of historic masonry towers/doi:10.1080%2F15583058.2020.1719229/rivista:International journal of architectural heritage/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume
International journal of architectural heritage (2020). doi:10.1080/15583058.2020.1719229
info:cnr-pdr/source/autori:Barsocchi P.; Bartoli G.; Betti M.; Girardi M.; Mammolito S.; Pellegrini D.; Zini G./titolo:Wireless sensor networks for continuous structural health monitoring of historic masonry towers/doi:10.1080%2F15583058.2020.1719229/rivista:International journal of architectural heritage/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume
The recent developments of micro-electro-mechanical systems and wireless sensor networks allow today the use of low-cost and small-size sensors for continuous monitoring of civil structures. Both these features are very important for the low impact o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5bce0bfa4d880d18da9d7df22e18dcf
https://openportal.isti.cnr.it/doc?id=people______::a4e12b477e0ad1e3538505bf74fe1003
https://openportal.isti.cnr.it/doc?id=people______::a4e12b477e0ad1e3538505bf74fe1003
Publikováno v:
Sensors
Volume 19
Issue 22
Sensors (Basel) 19(22) (2019). doi:10.3390/s19224978
info:cnr-pdr/source/autori:Barsocchi P.; Ferro E.; La Rosa D.; Mahroo A.; Spoladore D./titolo:E-Cabin: a software architecture for passenger comfort and cruise ship management/doi:10.3390%2Fs19224978/rivista:Sensors (Basel)/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:19(22)
Sensors, Vol 19, Iss 22, p 4978 (2019)
Sensors (Basel, Switzerland)
Volume 19
Issue 22
Sensors (Basel) 19(22) (2019). doi:10.3390/s19224978
info:cnr-pdr/source/autori:Barsocchi P.; Ferro E.; La Rosa D.; Mahroo A.; Spoladore D./titolo:E-Cabin: a software architecture for passenger comfort and cruise ship management/doi:10.3390%2Fs19224978/rivista:Sensors (Basel)/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:19(22)
Sensors, Vol 19, Iss 22, p 4978 (2019)
Sensors (Basel, Switzerland)
A cruise ship is a concentrate of technologies aimed at providing passengers with the best leisure experience. As tourism in the cruise sector increases, ship owners turned their attention towards novel Internet of things solutions able, from one han