Matches in SemOpenAlex for { <https://semopenalex.org/work/W4224436637> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W4224436637 endingPage "10" @default.
- W4224436637 startingPage "1" @default.
- W4224436637 abstract "Wireless technology is offering numerous growth to develop communication systems. The Internet of Things (IoT) is combined with the sensing ecosystem to transfer and process the physical environment. Recently, IoT devices have collaborated with wireless devices to improve embedded medical applications. Many solutions are proposed to decrease the power consumption of the sensing ecosystem and support the health industry. However, optimizing the transformation of collected data with lightweight power consumption is still a burning research issue. Moreover, uncontrolled network devices and healthcare professionals are remotely accessed by such embedded systems. Thus, securing sensitive information is also a significant factor for mobile communications. Therefore, this research presents an optimized embedded healthcare industry model with lightweight computing using a wireless body area network (WBAN), aiming to lessen the control overheads and improve the power consumption in mobile e-health services. To begin, it employs an optimal learning algorithm to lower the management costs of embedded systems in order to transform and administer the electronic health record (EHR) more efficiently. Second, with the help of trustworthy gateways, it delivers a safe EHR algorithm as well as lightweight computing resources for embedded systems. The proposed model is tested with a variety of experiments and demonstrates its significant improvement over state-of-the-art techniques." @default.
- W4224436637 created "2022-04-27" @default.
- W4224436637 creator A5041095851 @default.
- W4224436637 creator A5052493855 @default.
- W4224436637 creator A5061267204 @default.
- W4224436637 creator A5077942586 @default.
- W4224436637 date "2022-04-25" @default.
- W4224436637 modified "2023-09-26" @default.
- W4224436637 title "Optimized Embedded Healthcare Industry Model with Lightweight Computing Using Wireless Body Area Network" @default.
- W4224436637 cites W2085759780 @default.
- W4224436637 cites W2615506785 @default.
- W4224436637 cites W2625691825 @default.
- W4224436637 cites W2779725468 @default.
- W4224436637 cites W2792152774 @default.
- W4224436637 cites W2806211932 @default.
- W4224436637 cites W2878975049 @default.
- W4224436637 cites W2886915701 @default.
- W4224436637 cites W2893597991 @default.
- W4224436637 cites W2906825507 @default.
- W4224436637 cites W2915771847 @default.
- W4224436637 cites W2917527151 @default.
- W4224436637 cites W2921008479 @default.
- W4224436637 cites W2945213602 @default.
- W4224436637 cites W2959517839 @default.
- W4224436637 cites W2980841175 @default.
- W4224436637 cites W2990157525 @default.
- W4224436637 cites W3042392478 @default.
- W4224436637 cites W3085070923 @default.
- W4224436637 cites W3095681026 @default.
- W4224436637 cites W3105509069 @default.
- W4224436637 cites W3120936939 @default.
- W4224436637 cites W3136438736 @default.
- W4224436637 cites W3164510053 @default.
- W4224436637 cites W3186053164 @default.
- W4224436637 cites W3186616731 @default.
- W4224436637 cites W3188286971 @default.
- W4224436637 cites W3195789291 @default.
- W4224436637 cites W3196296530 @default.
- W4224436637 cites W3198090163 @default.
- W4224436637 cites W4212794825 @default.
- W4224436637 cites W4220872214 @default.
- W4224436637 doi "https://doi.org/10.1155/2022/4735272" @default.
- W4224436637 hasPublicationYear "2022" @default.
- W4224436637 type Work @default.
- W4224436637 citedByCount "1" @default.
- W4224436637 countsByYear W42244366372022 @default.
- W4224436637 crossrefType "journal-article" @default.
- W4224436637 hasAuthorship W4224436637A5041095851 @default.
- W4224436637 hasAuthorship W4224436637A5052493855 @default.
- W4224436637 hasAuthorship W4224436637A5061267204 @default.
- W4224436637 hasAuthorship W4224436637A5077942586 @default.
- W4224436637 hasBestOaLocation W42244366371 @default.
- W4224436637 hasConcept C108037233 @default.
- W4224436637 hasConcept C111919701 @default.
- W4224436637 hasConcept C149635348 @default.
- W4224436637 hasConcept C160735492 @default.
- W4224436637 hasConcept C162324750 @default.
- W4224436637 hasConcept C24590314 @default.
- W4224436637 hasConcept C31258907 @default.
- W4224436637 hasConcept C41008148 @default.
- W4224436637 hasConcept C50522688 @default.
- W4224436637 hasConcept C555944384 @default.
- W4224436637 hasConcept C76155785 @default.
- W4224436637 hasConcept C88737568 @default.
- W4224436637 hasConcept C98045186 @default.
- W4224436637 hasConceptScore W4224436637C108037233 @default.
- W4224436637 hasConceptScore W4224436637C111919701 @default.
- W4224436637 hasConceptScore W4224436637C149635348 @default.
- W4224436637 hasConceptScore W4224436637C160735492 @default.
- W4224436637 hasConceptScore W4224436637C162324750 @default.
- W4224436637 hasConceptScore W4224436637C24590314 @default.
- W4224436637 hasConceptScore W4224436637C31258907 @default.
- W4224436637 hasConceptScore W4224436637C41008148 @default.
- W4224436637 hasConceptScore W4224436637C50522688 @default.
- W4224436637 hasConceptScore W4224436637C555944384 @default.
- W4224436637 hasConceptScore W4224436637C76155785 @default.
- W4224436637 hasConceptScore W4224436637C88737568 @default.
- W4224436637 hasConceptScore W4224436637C98045186 @default.
- W4224436637 hasLocation W42244366371 @default.
- W4224436637 hasLocation W42244366372 @default.
- W4224436637 hasOpenAccess W4224436637 @default.
- W4224436637 hasPrimaryLocation W42244366371 @default.
- W4224436637 hasRelatedWork W2008965575 @default.
- W4224436637 hasRelatedWork W2034917549 @default.
- W4224436637 hasRelatedWork W2070418635 @default.
- W4224436637 hasRelatedWork W2602139996 @default.
- W4224436637 hasRelatedWork W2785477058 @default.
- W4224436637 hasRelatedWork W2964858448 @default.
- W4224436637 hasRelatedWork W2972113137 @default.
- W4224436637 hasRelatedWork W4248300937 @default.
- W4224436637 hasRelatedWork W4310007071 @default.
- W4224436637 hasRelatedWork W4385483253 @default.
- W4224436637 hasVolume "2022" @default.
- W4224436637 isParatext "false" @default.
- W4224436637 isRetracted "false" @default.
- W4224436637 workType "article" @default.