FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4291915051> ?p ?o ?g. }

• W4291915051 endingPage "3918" @default.
• W4291915051 startingPage "3918" @default.
• W4291915051 abstract "Long-term satellite observations have the ability to provide early warnings of harmful algal blooms (HABs). However, detecting HABs in optically complex coastal waters is somewhat challenging. In this article, we propose a two-step scheme, combining long short-term memory (LSTM) with extreme value analysis (EVA), for HAB detection. Essentially, the LSTM network builds a normal time series model on selected coordinate of long-term multisource satellite data. This model detects potential HAB dates by utilizing the LSTM predictive errors for an approximated Gaussian distribution. For each potential HAB date, the EVA approach then extracts the HAB distribution from the selected coordinate by considering the spatial correlation. A case study in Zhejiang coastal waters shows that our method exploits the advantages of both LSTM and EVA models, which not only has the strong prediction capability of LSTM for reducing HAB false alarm rate, but also achieves a dynamic HAB extraction through the EVA fitting." @default.
• W4291915051 created "2022-08-16" @default.
• W4291915051 creator A5007764505 @default.
• W4291915051 creator A5035552194 @default.
• W4291915051 creator A5069094261 @default.
• W4291915051 date "2022-08-12" @default.
• W4291915051 modified "2023-10-16" @default.
• W4291915051 title "Machine Learning in Extreme Value Analysis, an Approach to Detecting Harmful Algal Blooms with Long-Term Multisource Satellite Data" @default.
• W4291915051 cites W161520972 @default.
• W4291915051 cites W1966199741 @default.
• W4291915051 cites W1971751574 @default.
• W4291915051 cites W1975285091 @default.
• W4291915051 cites W1977142525 @default.
• W4291915051 cites W1979319518 @default.
• W4291915051 cites W1979660498 @default.
• W4291915051 cites W2017379056 @default.
• W4291915051 cites W2019199024 @default.
• W4291915051 cites W2023811065 @default.
• W4291915051 cites W2032164902 @default.
• W4291915051 cites W2035651361 @default.
• W4291915051 cites W2038505690 @default.
• W4291915051 cites W2064675550 @default.
• W4291915051 cites W2066894987 @default.
• W4291915051 cites W2071794766 @default.
• W4291915051 cites W2083443605 @default.
• W4291915051 cites W2114866007 @default.
• W4291915051 cites W2119608925 @default.
• W4291915051 cites W2120061623 @default.
• W4291915051 cites W2150964914 @default.
• W4291915051 cites W2166873045 @default.
• W4291915051 cites W2172000614 @default.
• W4291915051 cites W2411741275 @default.
• W4291915051 cites W2535642622 @default.
• W4291915051 cites W2747599906 @default.
• W4291915051 cites W2982702199 @default.
• W4291915051 cites W3035251314 @default.
• W4291915051 cites W3094614637 @default.
• W4291915051 cites W3106543020 @default.
• W4291915051 cites W3124217862 @default.
• W4291915051 cites W3206620863 @default.
• W4291915051 doi "https://doi.org/10.3390/rs14163918" @default.
• W4291915051 hasPublicationYear "2022" @default.
• W4291915051 type Work @default.
• W4291915051 citedByCount "1" @default.
• W4291915051 countsByYear W42919150512022 @default.
• W4291915051 crossrefType "journal-article" @default.
• W4291915051 hasAuthorship W4291915051A5007764505 @default.
• W4291915051 hasAuthorship W4291915051A5035552194 @default.
• W4291915051 hasAuthorship W4291915051A5069094261 @default.
• W4291915051 hasBestOaLocation W42919150511 @default.
• W4291915051 hasConcept C105795698 @default.
• W4291915051 hasConcept C120305227 @default.
• W4291915051 hasConcept C121332964 @default.
• W4291915051 hasConcept C127413603 @default.
• W4291915051 hasConcept C142796444 @default.
• W4291915051 hasConcept C146978453 @default.
• W4291915051 hasConcept C147581598 @default.
• W4291915051 hasConcept C154945302 @default.
• W4291915051 hasConcept C163716315 @default.
• W4291915051 hasConcept C18903297 @default.
• W4291915051 hasConcept C19269812 @default.
• W4291915051 hasConcept C2776836416 @default.
• W4291915051 hasConcept C2780892065 @default.
• W4291915051 hasConcept C33923547 @default.
• W4291915051 hasConcept C41008148 @default.
• W4291915051 hasConcept C61797465 @default.
• W4291915051 hasConcept C62520636 @default.
• W4291915051 hasConcept C77052588 @default.
• W4291915051 hasConcept C86803240 @default.
• W4291915051 hasConceptScore W4291915051C105795698 @default.
• W4291915051 hasConceptScore W4291915051C120305227 @default.
• W4291915051 hasConceptScore W4291915051C121332964 @default.
• W4291915051 hasConceptScore W4291915051C127413603 @default.
• W4291915051 hasConceptScore W4291915051C142796444 @default.
• W4291915051 hasConceptScore W4291915051C146978453 @default.
• W4291915051 hasConceptScore W4291915051C147581598 @default.
• W4291915051 hasConceptScore W4291915051C154945302 @default.
• W4291915051 hasConceptScore W4291915051C163716315 @default.
• W4291915051 hasConceptScore W4291915051C18903297 @default.
• W4291915051 hasConceptScore W4291915051C19269812 @default.
• W4291915051 hasConceptScore W4291915051C2776836416 @default.
• W4291915051 hasConceptScore W4291915051C2780892065 @default.
• W4291915051 hasConceptScore W4291915051C33923547 @default.
• W4291915051 hasConceptScore W4291915051C41008148 @default.
• W4291915051 hasConceptScore W4291915051C61797465 @default.
• W4291915051 hasConceptScore W4291915051C62520636 @default.
• W4291915051 hasConceptScore W4291915051C77052588 @default.
• W4291915051 hasConceptScore W4291915051C86803240 @default.
• W4291915051 hasFunder F4320321001 @default.
• W4291915051 hasFunder F4320335777 @default.
• W4291915051 hasIssue "16" @default.
• W4291915051 hasLocation W42919150511 @default.
• W4291915051 hasLocation W42919150512 @default.
• W4291915051 hasOpenAccess W4291915051 @default.
• W4291915051 hasPrimaryLocation W42919150511 @default.
• W4291915051 hasRelatedWork W120037069 @default.
• W4291915051 hasRelatedWork W1539158587 @default.
• W4291915051 hasRelatedWork W1979667657 @default.

• next