Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387162195> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W4387162195 abstract "Bamboo, a grass, belongs to the Poaceae family, with 1642 species from 116 genera worldwide. It has exceptional physical, chemical, and mechanical qualities, which allow it to be employed in over a thousand different ways and contribute to a trade value of USD 2.76 billion. Bamboo is grown using rhizomes, tissue culture, or short branch cuttings without any other checks resulting in incorrect species identification and categorisation. Therefore, the classification or identification of these bamboo use its DNA barcode sequences with a K-mer based method, and machine learning (ML) is the most excellent strategy for resolving issues with the conventional or traditional categorisation of the species. A DNA barcode is a brief genetic signature that helps identify the species to which an organism belongs. It is possible to extract a useful feature from genome sequences using K-mer based approaches, which may then be used to increase comparison accuracy. In this research, we evaluate the classification performance of four supervised ML models on the DNA-barcode sequence of six Indian commercial bamboo species with a different K-mer combination. For this classification, we choose matK barcode region and supervised ML models such as Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM) and Gradient Boosting Machine (GBM). The results analysis of these models on the matK DNA sequence with different K-mers demonstrates that the classification capabilities of the GBM approaches are quite promising, and it has an accuracy of 95.3% on average." @default.
- W4387162195 created "2023-09-30" @default.
- W4387162195 creator A5001511958 @default.
- W4387162195 creator A5024428561 @default.
- W4387162195 creator A5052456522 @default.
- W4387162195 creator A5070389463 @default.
- W4387162195 creator A5085001581 @default.
- W4387162195 creator A5091607839 @default.
- W4387162195 date "2023-06-08" @default.
- W4387162195 modified "2023-09-30" @default.
- W4387162195 title "Commercial Indian Bamboo Species Classification on matK DNA Barcode Sequences using Machine Learning Techniques with K-mer" @default.
- W4387162195 cites W1987288681 @default.
- W4387162195 cites W2056966869 @default.
- W4387162195 cites W2088794999 @default.
- W4387162195 cites W2097160089 @default.
- W4387162195 cites W2099901798 @default.
- W4387162195 cites W2133445144 @default.
- W4387162195 cites W2166816421 @default.
- W4387162195 cites W2802502226 @default.
- W4387162195 cites W2895793337 @default.
- W4387162195 cites W2897927784 @default.
- W4387162195 cites W2901843713 @default.
- W4387162195 cites W2924634620 @default.
- W4387162195 cites W2938496417 @default.
- W4387162195 cites W3002469388 @default.
- W4387162195 cites W3036808435 @default.
- W4387162195 cites W3090185517 @default.
- W4387162195 cites W3158068037 @default.
- W4387162195 cites W3161340463 @default.
- W4387162195 cites W4379115704 @default.
- W4387162195 doi "https://doi.org/10.1109/ic2e357697.2023.10262781" @default.
- W4387162195 hasPublicationYear "2023" @default.
- W4387162195 type Work @default.
- W4387162195 citedByCount "0" @default.
- W4387162195 crossrefType "proceedings-article" @default.
- W4387162195 hasAuthorship W4387162195A5001511958 @default.
- W4387162195 hasAuthorship W4387162195A5024428561 @default.
- W4387162195 hasAuthorship W4387162195A5052456522 @default.
- W4387162195 hasAuthorship W4387162195A5070389463 @default.
- W4387162195 hasAuthorship W4387162195A5085001581 @default.
- W4387162195 hasAuthorship W4387162195A5091607839 @default.
- W4387162195 hasConcept C104317684 @default.
- W4387162195 hasConcept C111919701 @default.
- W4387162195 hasConcept C116834253 @default.
- W4387162195 hasConcept C119857082 @default.
- W4387162195 hasConcept C12267149 @default.
- W4387162195 hasConcept C141231307 @default.
- W4387162195 hasConcept C141732470 @default.
- W4387162195 hasConcept C153180895 @default.
- W4387162195 hasConcept C154945302 @default.
- W4387162195 hasConcept C169258074 @default.
- W4387162195 hasConcept C2776841711 @default.
- W4387162195 hasConcept C2778704284 @default.
- W4387162195 hasConcept C41008148 @default.
- W4387162195 hasConcept C51679486 @default.
- W4387162195 hasConcept C52622490 @default.
- W4387162195 hasConcept C54355233 @default.
- W4387162195 hasConcept C552990157 @default.
- W4387162195 hasConcept C59822182 @default.
- W4387162195 hasConcept C70721500 @default.
- W4387162195 hasConcept C78458016 @default.
- W4387162195 hasConcept C86803240 @default.
- W4387162195 hasConceptScore W4387162195C104317684 @default.
- W4387162195 hasConceptScore W4387162195C111919701 @default.
- W4387162195 hasConceptScore W4387162195C116834253 @default.
- W4387162195 hasConceptScore W4387162195C119857082 @default.
- W4387162195 hasConceptScore W4387162195C12267149 @default.
- W4387162195 hasConceptScore W4387162195C141231307 @default.
- W4387162195 hasConceptScore W4387162195C141732470 @default.
- W4387162195 hasConceptScore W4387162195C153180895 @default.
- W4387162195 hasConceptScore W4387162195C154945302 @default.
- W4387162195 hasConceptScore W4387162195C169258074 @default.
- W4387162195 hasConceptScore W4387162195C2776841711 @default.
- W4387162195 hasConceptScore W4387162195C2778704284 @default.
- W4387162195 hasConceptScore W4387162195C41008148 @default.
- W4387162195 hasConceptScore W4387162195C51679486 @default.
- W4387162195 hasConceptScore W4387162195C52622490 @default.
- W4387162195 hasConceptScore W4387162195C54355233 @default.
- W4387162195 hasConceptScore W4387162195C552990157 @default.
- W4387162195 hasConceptScore W4387162195C59822182 @default.
- W4387162195 hasConceptScore W4387162195C70721500 @default.
- W4387162195 hasConceptScore W4387162195C78458016 @default.
- W4387162195 hasConceptScore W4387162195C86803240 @default.
- W4387162195 hasLocation W43871621951 @default.
- W4387162195 hasOpenAccess W4387162195 @default.
- W4387162195 hasPrimaryLocation W43871621951 @default.
- W4387162195 hasRelatedWork W1841932929 @default.
- W4387162195 hasRelatedWork W196405114 @default.
- W4387162195 hasRelatedWork W1993168701 @default.
- W4387162195 hasRelatedWork W2115039919 @default.
- W4387162195 hasRelatedWork W2116287540 @default.
- W4387162195 hasRelatedWork W2336974148 @default.
- W4387162195 hasRelatedWork W2472248166 @default.
- W4387162195 hasRelatedWork W3009898762 @default.
- W4387162195 hasRelatedWork W3195168932 @default.
- W4387162195 hasRelatedWork W2345184372 @default.
- W4387162195 isParatext "false" @default.
- W4387162195 isRetracted "false" @default.
- W4387162195 workType "article" @default.