Guest editorial: intelligent ubiquitous computing and advanced learning systems for biomedical engineering

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dc.contributor.authorChakraborty, Chinmay
dc.contributor.authorKhosravi, Mohammad
dc.contributor.authorGarg, Lalit
dc.contributor.authorKaiser, M. Shamim
dc.contributor.authorLi, Xingwang
dc.contributor.authorSong, Houbing
dc.date.accessioned2022-11-22T20:38:57Z
dc.date.available2022-11-22T20:38:57Z
dc.date.issued2022-10-25
dc.description.abstractThis special issue editorial introduces the latest development in emerging technologies of biomedical engineering, including big medical data, artificial intelligence, cloud/fog computing, federated learning, ubiquitous computing and communication, internet of things, wireless technologies, and security and privacy. In this special issue, nine manuscripts are published related to advanced learning and computing systems for biomedical engineering.en_US
dc.description.sponsorshipFirstly, we wish to express our thanks to Ms. Emily Summerbell, Managing Editor, for her continuous assistance throughout this process. We wish to express our gratitude to all the contributors who submitted novel scientific results in this forum, and to our anonymous reviewers, whose expert work helped us to have the realization of this endeavour. We hope that this effort will contribute to the further development of innovative works and raise the scientific and technological community's interest in the relevant area. As the last point, we should not forget to express our appreciation to the journal's Editors-in-Chief and all the members of the Journal Editorial Office (JEO) for their support throughout this adventure.en_US
dc.description.urihttps://ietresearch.onlinelibrary.wiley.com/doi/10.1049/tje2.12206en_US
dc.format.extent4 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2yy85-rgud
dc.identifier.citationChakraborty, C., Khosravi, M., Garg, L., Kaiser, M.S., Li, X. and Song, H. (2022), Guest editorial: intelligent ubiquitous computing and advanced learning systems for biomedical engineering. J. Eng., 2022: 1037-1040. https://doi.org/10.1049/tje2.12206en_US
dc.identifier.urihttps://doi.org/10.1049/tje2.12206
dc.identifier.urihttp://hdl.handle.net/11603/26347
dc.language.isoen_USen_US
dc.publisherIETen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.titleGuest editorial: intelligent ubiquitous computing and advanced learning systems for biomedical engineeringen_US
dc.title.alternativeIntelligent ubiquitous computing and advanced learning systems for biomedical engineering
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0003-2631-9223en_US

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