Cited 24 time in
Enabling Ambient Intelligence of Things (AIoT) healthcare system architectures
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Pise, Anil | - |
| dc.contributor.author | Yoon, Byungun | - |
| dc.contributor.author | Singh, Saurabh | - |
| dc.date.accessioned | 2024-08-08T09:31:53Z | - |
| dc.date.available | 2024-08-08T09:31:53Z | - |
| dc.date.issued | 2023-01 | - |
| dc.identifier.issn | 0140-3664 | - |
| dc.identifier.issn | 1873-703X | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/20949 | - |
| dc.description.abstract | During the last decade, significant research has been conducted in the fields of healthcare and the administration of cutting-edge ambient intelligence (AmI) technology. Healthcare experts explored smart gadgets and other medical technologies, as well as ambient intelligence using Internet of Things (IoT) (AIoT). The potential for linking the two regions and improving care for individuals living in rural and distant areas is apparent. The healthcare industry has seen tremendous advances in efficiency, affordability, and usefulness as a result of new growth possibilities and drastic cost reductions. This includes a how-to guide on how medical advancements may be both helpful and detrimental as a result of (AIoT-based) technology. The AIoTH application is anticipated to be covered in the last section since it has the ability to assist with current and varied technologies, and relevant approaches for solving healthcare problems are examined. Furthermore, many potential problems and inconsistencies with the AIoT-H method are often identified. Current and future academics interested in the subject will be able to examine a wide range of possible AIoT-H implementations in order to get a better understanding of the effect and influence on any of the many AIoT applications. | - |
| dc.format.extent | 9 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | ELSEVIER | - |
| dc.title | Enabling Ambient Intelligence of Things (AIoT) healthcare system architectures | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1016/j.comcom.2022.10.029 | - |
| dc.identifier.scopusid | 2-s2.0-85143759849 | - |
| dc.identifier.wosid | 001026631600001 | - |
| dc.identifier.bibliographicCitation | Computer Communications, v.198, pp 186 - 194 | - |
| dc.citation.title | Computer Communications | - |
| dc.citation.volume | 198 | - |
| dc.citation.startPage | 186 | - |
| dc.citation.endPage | 194 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Telecommunications | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
| dc.relation.journalWebOfScienceCategory | Telecommunications | - |
| dc.subject.keywordPlus | INTERNET | - |
| dc.subject.keywordPlus | IOT | - |
| dc.subject.keywordPlus | TECHNOLOGIES | - |
| dc.subject.keywordPlus | CHALLENGES | - |
| dc.subject.keywordPlus | FRAMEWORK | - |
| dc.subject.keywordPlus | SCHEME | - |
| dc.subject.keywordAuthor | Artificial intelligence | - |
| dc.subject.keywordAuthor | Ambient intelligence | - |
| dc.subject.keywordAuthor | Healthcare analytics | - |
| dc.subject.keywordAuthor | Predictive analytics | - |
| dc.subject.keywordAuthor | Healthcare informatics | - |
| dc.subject.keywordAuthor | Disease detection | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, Republic of Korea+82-2-2260-3114
Copyright(c) 2023 DONGGUK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
