Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204654901> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W3204654901 endingPage "72" @default.
- W3204654901 startingPage "63" @default.
- W3204654901 abstract "Mobile crowd-sensing (MCS) is a promising sensing paradigm that leverages mobile users with smart devices to perform large-scale sensing tasks in order to provide services to specific applications in various domains. However, MCS sensing tasks may not always be successfully completed or timely completed for various reasons, such as accidentally leaving the tasks incomplete by the users, asynchronous transmission, or connection errors. This results in missing sensing data at specific locations and times, which can degrade the performance of the applications and lead to serious casualties. Therefore, in this paper, we propose a missing data inference approach, called missing data approximation with probabilistic tensor factorization (MDI-PTF), to approximate the missing values as closely as possible to the actual values while taking asynchronous data transmission time and different sensing locations of the mobile users into account. The proposed method first normalizes the data to limit the range of the possible values. Next, a probabilistic model of tensor factorization is formulated, and finally, the data are approximated using the gradient descent method. The performance of the proposed algorithm is verified by conducting simulations under various situations using different datasets." @default.
- W3204654901 created "2021-10-11" @default.
- W3204654901 creator A5049723304 @default.
- W3204654901 creator A5057529235 @default.
- W3204654901 date "2021-08-01" @default.
- W3204654901 modified "2023-09-26" @default.
- W3204654901 title "A Probabilistic Tensor Factorization approach for Missing Data Inference in Mobile Crowd-Sensing" @default.
- W3204654901 hasPublicationYear "2021" @default.
- W3204654901 type Work @default.
- W3204654901 sameAs 3204654901 @default.
- W3204654901 citedByCount "0" @default.
- W3204654901 crossrefType "journal-article" @default.
- W3204654901 hasAuthorship W3204654901A5049723304 @default.
- W3204654901 hasAuthorship W3204654901A5057529235 @default.
- W3204654901 hasConcept C119857082 @default.
- W3204654901 hasConcept C124101348 @default.
- W3204654901 hasConcept C127413603 @default.
- W3204654901 hasConcept C146978453 @default.
- W3204654901 hasConcept C151319957 @default.
- W3204654901 hasConcept C154945302 @default.
- W3204654901 hasConcept C155281189 @default.
- W3204654901 hasConcept C202444582 @default.
- W3204654901 hasConcept C204323151 @default.
- W3204654901 hasConcept C2776214188 @default.
- W3204654901 hasConcept C31258907 @default.
- W3204654901 hasConcept C33923547 @default.
- W3204654901 hasConcept C41008148 @default.
- W3204654901 hasConcept C49937458 @default.
- W3204654901 hasConcept C9357733 @default.
- W3204654901 hasConceptScore W3204654901C119857082 @default.
- W3204654901 hasConceptScore W3204654901C124101348 @default.
- W3204654901 hasConceptScore W3204654901C127413603 @default.
- W3204654901 hasConceptScore W3204654901C146978453 @default.
- W3204654901 hasConceptScore W3204654901C151319957 @default.
- W3204654901 hasConceptScore W3204654901C154945302 @default.
- W3204654901 hasConceptScore W3204654901C155281189 @default.
- W3204654901 hasConceptScore W3204654901C202444582 @default.
- W3204654901 hasConceptScore W3204654901C204323151 @default.
- W3204654901 hasConceptScore W3204654901C2776214188 @default.
- W3204654901 hasConceptScore W3204654901C31258907 @default.
- W3204654901 hasConceptScore W3204654901C33923547 @default.
- W3204654901 hasConceptScore W3204654901C41008148 @default.
- W3204654901 hasConceptScore W3204654901C49937458 @default.
- W3204654901 hasConceptScore W3204654901C9357733 @default.
- W3204654901 hasIssue "3" @default.
- W3204654901 hasLocation W32046549011 @default.
- W3204654901 hasOpenAccess W3204654901 @default.
- W3204654901 hasPrimaryLocation W32046549011 @default.
- W3204654901 hasRelatedWork W1952613087 @default.
- W3204654901 hasRelatedWork W1982012380 @default.
- W3204654901 hasRelatedWork W2045435328 @default.
- W3204654901 hasRelatedWork W2066226864 @default.
- W3204654901 hasRelatedWork W2069202742 @default.
- W3204654901 hasRelatedWork W2116771001 @default.
- W3204654901 hasRelatedWork W2312404987 @default.
- W3204654901 hasRelatedWork W2755411990 @default.
- W3204654901 hasRelatedWork W2788401571 @default.
- W3204654901 hasRelatedWork W2790496887 @default.
- W3204654901 hasRelatedWork W2982809214 @default.
- W3204654901 hasRelatedWork W2996693144 @default.
- W3204654901 hasRelatedWork W3088427272 @default.
- W3204654901 hasRelatedWork W3090138165 @default.
- W3204654901 hasRelatedWork W3102126028 @default.
- W3204654901 hasRelatedWork W3110391207 @default.
- W3204654901 hasRelatedWork W3112376208 @default.
- W3204654901 hasRelatedWork W3123204570 @default.
- W3204654901 hasRelatedWork W3183303935 @default.
- W3204654901 hasRelatedWork W945148654 @default.
- W3204654901 hasVolume "13" @default.
- W3204654901 isParatext "false" @default.
- W3204654901 isRetracted "false" @default.
- W3204654901 magId "3204654901" @default.
- W3204654901 workType "article" @default.