Matches in SemOpenAlex for { <https://semopenalex.org/work/W3133013676> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W3133013676 endingPage "034501" @default.
- W3133013676 startingPage "034501" @default.
- W3133013676 abstract "Abstract In this paper we present a two-step neural network model to separate detections of solar system objects from optical and electronic artifacts in data obtained with the “Asteroid Terrestrial-impact Last Alert System” (ATLAS), a near-Earth asteroid sky survey system. A convolutional neural network is used to classify small “postage-stamp” images of candidate detections of astronomical sources into eight classes, followed by a multi-layered perceptron that provides a probability that a temporal sequence of four candidate detections represents a real astronomical source. The goal of this work is to reduce the time delay between Near-Earth Object (NEO) detections and submission to the Minor Planet Center. Due to the rare and hazardous nature of NEOs, a low false negative rate is a priority for the model. We show that the model reaches 99.6% accuracy on real asteroids in ATLAS data with a 0.4% false negative rate. Deployment of this model on ATLAS has reduced the amount of NEO candidates that astronomers must screen by 90%, thereby bringing ATLAS one step closer to full autonomy." @default.
- W3133013676 created "2021-03-01" @default.
- W3133013676 creator A5035873296 @default.
- W3133013676 creator A5087250036 @default.
- W3133013676 date "2021-02-17" @default.
- W3133013676 modified "2023-09-27" @default.
- W3133013676 title "A Two-stage Deep Learning Detection Classifier for the ATLAS Asteroid Survey" @default.
- W3133013676 cites W2110619496 @default.
- W3133013676 cites W2117539524 @default.
- W3133013676 cites W2123353273 @default.
- W3133013676 cites W2572438701 @default.
- W3133013676 cites W2618530766 @default.
- W3133013676 cites W2785375817 @default.
- W3133013676 cites W2936074522 @default.
- W3133013676 cites W2963037989 @default.
- W3133013676 cites W2963446712 @default.
- W3133013676 cites W3100321043 @default.
- W3133013676 cites W639708223 @default.
- W3133013676 doi "https://doi.org/10.1088/1538-3873/abc900" @default.
- W3133013676 hasPublicationYear "2021" @default.
- W3133013676 type Work @default.
- W3133013676 sameAs 3133013676 @default.
- W3133013676 citedByCount "7" @default.
- W3133013676 countsByYear W31330136762021 @default.
- W3133013676 countsByYear W31330136762022 @default.
- W3133013676 countsByYear W31330136762023 @default.
- W3133013676 crossrefType "journal-article" @default.
- W3133013676 hasAuthorship W3133013676A5035873296 @default.
- W3133013676 hasAuthorship W3133013676A5087250036 @default.
- W3133013676 hasBestOaLocation W31330136761 @default.
- W3133013676 hasConcept C121332964 @default.
- W3133013676 hasConcept C127313418 @default.
- W3133013676 hasConcept C1276947 @default.
- W3133013676 hasConcept C151730666 @default.
- W3133013676 hasConcept C154945302 @default.
- W3133013676 hasConcept C2776673561 @default.
- W3133013676 hasConcept C2781209320 @default.
- W3133013676 hasConcept C41008148 @default.
- W3133013676 hasConcept C51244244 @default.
- W3133013676 hasConcept C539450922 @default.
- W3133013676 hasConcept C58142911 @default.
- W3133013676 hasConcept C62649853 @default.
- W3133013676 hasConcept C73329638 @default.
- W3133013676 hasConcept C93623110 @default.
- W3133013676 hasConceptScore W3133013676C121332964 @default.
- W3133013676 hasConceptScore W3133013676C127313418 @default.
- W3133013676 hasConceptScore W3133013676C1276947 @default.
- W3133013676 hasConceptScore W3133013676C151730666 @default.
- W3133013676 hasConceptScore W3133013676C154945302 @default.
- W3133013676 hasConceptScore W3133013676C2776673561 @default.
- W3133013676 hasConceptScore W3133013676C2781209320 @default.
- W3133013676 hasConceptScore W3133013676C41008148 @default.
- W3133013676 hasConceptScore W3133013676C51244244 @default.
- W3133013676 hasConceptScore W3133013676C539450922 @default.
- W3133013676 hasConceptScore W3133013676C58142911 @default.
- W3133013676 hasConceptScore W3133013676C62649853 @default.
- W3133013676 hasConceptScore W3133013676C73329638 @default.
- W3133013676 hasConceptScore W3133013676C93623110 @default.
- W3133013676 hasIssue "1021" @default.
- W3133013676 hasLocation W31330136761 @default.
- W3133013676 hasLocation W31330136762 @default.
- W3133013676 hasLocation W31330136763 @default.
- W3133013676 hasOpenAccess W3133013676 @default.
- W3133013676 hasPrimaryLocation W31330136761 @default.
- W3133013676 hasRelatedWork W1606482330 @default.
- W3133013676 hasRelatedWork W1616751358 @default.
- W3133013676 hasRelatedWork W1618568039 @default.
- W3133013676 hasRelatedWork W1620504382 @default.
- W3133013676 hasRelatedWork W170007860 @default.
- W3133013676 hasRelatedWork W2010806538 @default.
- W3133013676 hasRelatedWork W2029070115 @default.
- W3133013676 hasRelatedWork W3118383501 @default.
- W3133013676 hasRelatedWork W3147631179 @default.
- W3133013676 hasRelatedWork W4206897247 @default.
- W3133013676 hasVolume "133" @default.
- W3133013676 isParatext "false" @default.
- W3133013676 isRetracted "false" @default.
- W3133013676 magId "3133013676" @default.
- W3133013676 workType "article" @default.