Matches in SemOpenAlex for { <https://semopenalex.org/work/W2804104831> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2804104831 endingPage "1088" @default.
- W2804104831 startingPage "1076" @default.
- W2804104831 abstract "AbstractMonitoring a large number of units whose health conditions follow complex dynamic evolution is a challenging problem in many healthcare and engineering applications. For instance, a unit may represent a patient in a healthcare application or a machine in a manufacturing process. Challenges mainly arise from: (i) insufficient data collection that results in limited measurements for each unit to build an accurate personalized model in the prognostic modeling stage; and (ii) limited capacity to further collect surveillance measurement of the units in the monitoring stage. In this study, we develop a selective sensing method that integrates prognostic models, collaborative learning, and sensing resource allocation to efficiently and economically monitor a large number of units by exploiting the similarity between them. We showcased the effectiveness of the proposed method using two real-world applications; one on depression monitoring and another with cognitive degradation monitoring for Alzheimer’s d..." @default.
- W2804104831 created "2018-06-01" @default.
- W2804104831 creator A5015714457 @default.
- W2804104831 creator A5074948475 @default.
- W2804104831 creator A5082496274 @default.
- W2804104831 date "2018-12-02" @default.
- W2804104831 modified "2023-09-23" @default.
- W2804104831 title "Selective sensing of a heterogeneous population of units with dynamic health conditions" @default.
- W2804104831 cites W1556698056 @default.
- W2804104831 cites W2013469283 @default.
- W2804104831 cites W2014555603 @default.
- W2804104831 cites W2019910157 @default.
- W2804104831 cites W2034482044 @default.
- W2804104831 cites W2039634745 @default.
- W2804104831 cites W2045067839 @default.
- W2804104831 cites W2049265876 @default.
- W2804104831 cites W2049633694 @default.
- W2804104831 cites W2078524519 @default.
- W2804104831 cites W2085300404 @default.
- W2804104831 cites W2097872774 @default.
- W2804104831 cites W2098932274 @default.
- W2804104831 cites W2102677192 @default.
- W2804104831 cites W2106196732 @default.
- W2804104831 cites W2109140840 @default.
- W2804104831 cites W2116049533 @default.
- W2804104831 cites W2117573774 @default.
- W2804104831 cites W2124135429 @default.
- W2804104831 cites W2126191527 @default.
- W2804104831 cites W2129494251 @default.
- W2804104831 cites W2132923627 @default.
- W2804104831 cites W2138583691 @default.
- W2804104831 cites W2141309434 @default.
- W2804104831 cites W2142635246 @default.
- W2804104831 cites W2150148016 @default.
- W2804104831 cites W2154778070 @default.
- W2804104831 cites W2155513557 @default.
- W2804104831 cites W2155927283 @default.
- W2804104831 cites W2166023188 @default.
- W2804104831 cites W2499226730 @default.
- W2804104831 cites W2539343603 @default.
- W2804104831 cites W2601836191 @default.
- W2804104831 cites W2772710919 @default.
- W2804104831 doi "https://doi.org/10.1080/24725854.2018.1470357" @default.
- W2804104831 hasPublicationYear "2018" @default.
- W2804104831 type Work @default.
- W2804104831 sameAs 2804104831 @default.
- W2804104831 citedByCount "11" @default.
- W2804104831 countsByYear W28041048312019 @default.
- W2804104831 countsByYear W28041048312020 @default.
- W2804104831 countsByYear W28041048312021 @default.
- W2804104831 countsByYear W28041048312022 @default.
- W2804104831 countsByYear W28041048312023 @default.
- W2804104831 crossrefType "journal-article" @default.
- W2804104831 hasAuthorship W2804104831A5015714457 @default.
- W2804104831 hasAuthorship W2804104831A5074948475 @default.
- W2804104831 hasAuthorship W2804104831A5082496274 @default.
- W2804104831 hasBestOaLocation W28041048312 @default.
- W2804104831 hasConcept C2908647359 @default.
- W2804104831 hasConcept C39432304 @default.
- W2804104831 hasConcept C71924100 @default.
- W2804104831 hasConcept C99454951 @default.
- W2804104831 hasConceptScore W2804104831C2908647359 @default.
- W2804104831 hasConceptScore W2804104831C39432304 @default.
- W2804104831 hasConceptScore W2804104831C71924100 @default.
- W2804104831 hasConceptScore W2804104831C99454951 @default.
- W2804104831 hasIssue "12" @default.
- W2804104831 hasLocation W28041048311 @default.
- W2804104831 hasLocation W28041048312 @default.
- W2804104831 hasOpenAccess W2804104831 @default.
- W2804104831 hasPrimaryLocation W28041048311 @default.
- W2804104831 hasRelatedWork W2110536732 @default.
- W2804104831 hasRelatedWork W2374021052 @default.
- W2804104831 hasRelatedWork W2578341013 @default.
- W2804104831 hasRelatedWork W2899084033 @default.
- W2804104831 hasRelatedWork W3007404728 @default.
- W2804104831 hasRelatedWork W3118961085 @default.
- W2804104831 hasRelatedWork W3162731545 @default.
- W2804104831 hasRelatedWork W3206420609 @default.
- W2804104831 hasRelatedWork W4280521631 @default.
- W2804104831 hasRelatedWork W4307159525 @default.
- W2804104831 hasVolume "50" @default.
- W2804104831 isParatext "false" @default.
- W2804104831 isRetracted "false" @default.
- W2804104831 magId "2804104831" @default.
- W2804104831 workType "article" @default.