Matches in SemOpenAlex for { <https://semopenalex.org/work/W3136148959> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W3136148959 endingPage "114035" @default.
- W3136148959 startingPage "114035" @default.
- W3136148959 abstract "Anoectochilus roxburghii (Wall.) Lindl. (Orchidaceae) is a rare traditional Chinese medicine. For seeking high profit, some traditional Chinese medicine sellers usually adulterated A. roxburghii with Goodyera Schlechtendaliana and Ludisia discolor or directly fake A. roxburghii using Anoectochilus formosanus. These counterfeits with similar appearance greatly influence the prescription efficacy. Therefore, there is an urgent need for an effective and fast authentication method to identify A. roxburghii and its counterfeits. In this paper, the near-infrared spectroscopy (NIRS) data of A. roxburghii and its counterfeits are mearsured. Then, an improved inception architecture based 1-dimensional convolutional neural network (Improved 1D-Inception-CNN) is designed for processing the NIRS data and identifying A. roxburghii and its counterfeits. The Improved 1D-Inception-CNN has less parameters and high calculation efficiency which makes the identification model more practical. The experimental results show that compared with traditional structured CNN models, the complexity of the Improved 1D-Inception-CNN is reduced by 40 %, the parameters are reduced by 50 % and the performances are improved by 1.01 %. Therefore, the Improved 1D-Inception-CNN model based on NIRS technology can effectively and quickly identify A. roxburghii and its counterfeits." @default.
- W3136148959 created "2021-03-29" @default.
- W3136148959 creator A5009886240 @default.
- W3136148959 creator A5048299480 @default.
- W3136148959 creator A5048653425 @default.
- W3136148959 creator A5059374757 @default.
- W3136148959 creator A5084627028 @default.
- W3136148959 creator A5088097530 @default.
- W3136148959 date "2021-05-01" @default.
- W3136148959 modified "2023-10-07" @default.
- W3136148959 title "Improved 1D convolutional neural network adapted to near-infrared spectroscopy for rapid discrimination of Anoectochilus roxburghii and its counterfeits" @default.
- W3136148959 cites W2012358846 @default.
- W3136148959 cites W2063046834 @default.
- W3136148959 cites W2095326585 @default.
- W3136148959 cites W2170241784 @default.
- W3136148959 cites W2506571611 @default.
- W3136148959 cites W2618530766 @default.
- W3136148959 cites W2739106537 @default.
- W3136148959 cites W2793935842 @default.
- W3136148959 cites W2794361121 @default.
- W3136148959 cites W2805360001 @default.
- W3136148959 cites W2807660769 @default.
- W3136148959 cites W2883537217 @default.
- W3136148959 cites W2891205235 @default.
- W3136148959 cites W2898360562 @default.
- W3136148959 cites W2925338233 @default.
- W3136148959 cites W2937364244 @default.
- W3136148959 cites W2974158260 @default.
- W3136148959 cites W3012422646 @default.
- W3136148959 cites W3014279084 @default.
- W3136148959 cites W3025189568 @default.
- W3136148959 cites W639708223 @default.
- W3136148959 cites W772242164 @default.
- W3136148959 doi "https://doi.org/10.1016/j.jpba.2021.114035" @default.
- W3136148959 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33819697" @default.
- W3136148959 hasPublicationYear "2021" @default.
- W3136148959 type Work @default.
- W3136148959 sameAs 3136148959 @default.
- W3136148959 citedByCount "19" @default.
- W3136148959 countsByYear W31361489592021 @default.
- W3136148959 countsByYear W31361489592022 @default.
- W3136148959 countsByYear W31361489592023 @default.
- W3136148959 crossrefType "journal-article" @default.
- W3136148959 hasAuthorship W3136148959A5009886240 @default.
- W3136148959 hasAuthorship W3136148959A5048299480 @default.
- W3136148959 hasAuthorship W3136148959A5048653425 @default.
- W3136148959 hasAuthorship W3136148959A5059374757 @default.
- W3136148959 hasAuthorship W3136148959A5084627028 @default.
- W3136148959 hasAuthorship W3136148959A5088097530 @default.
- W3136148959 hasConcept C154945302 @default.
- W3136148959 hasConcept C185592680 @default.
- W3136148959 hasConcept C2780274944 @default.
- W3136148959 hasConcept C41008148 @default.
- W3136148959 hasConcept C556039675 @default.
- W3136148959 hasConcept C59822182 @default.
- W3136148959 hasConcept C71924100 @default.
- W3136148959 hasConcept C81363708 @default.
- W3136148959 hasConcept C86803240 @default.
- W3136148959 hasConceptScore W3136148959C154945302 @default.
- W3136148959 hasConceptScore W3136148959C185592680 @default.
- W3136148959 hasConceptScore W3136148959C2780274944 @default.
- W3136148959 hasConceptScore W3136148959C41008148 @default.
- W3136148959 hasConceptScore W3136148959C556039675 @default.
- W3136148959 hasConceptScore W3136148959C59822182 @default.
- W3136148959 hasConceptScore W3136148959C71924100 @default.
- W3136148959 hasConceptScore W3136148959C81363708 @default.
- W3136148959 hasConceptScore W3136148959C86803240 @default.
- W3136148959 hasFunder F4320321001 @default.
- W3136148959 hasLocation W31361489591 @default.
- W3136148959 hasOpenAccess W3136148959 @default.
- W3136148959 hasPrimaryLocation W31361489591 @default.
- W3136148959 hasRelatedWork W1531601525 @default.
- W3136148959 hasRelatedWork W1990781990 @default.
- W3136148959 hasRelatedWork W2320495473 @default.
- W3136148959 hasRelatedWork W2403244553 @default.
- W3136148959 hasRelatedWork W2602440506 @default.
- W3136148959 hasRelatedWork W2748952813 @default.
- W3136148959 hasRelatedWork W2899084033 @default.
- W3136148959 hasRelatedWork W2948807893 @default.
- W3136148959 hasRelatedWork W2969718030 @default.
- W3136148959 hasRelatedWork W2778153218 @default.
- W3136148959 hasVolume "199" @default.
- W3136148959 isParatext "false" @default.
- W3136148959 isRetracted "false" @default.
- W3136148959 magId "3136148959" @default.
- W3136148959 workType "article" @default.