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Data from: Acoustic identification of Mexican bats based on taxonomic and ecological constraints on call design
负责人:
关键词:
guild;acoustic identification;Neotropical;hierarchical classification;Random Forest;Machine Learning;whispering bats
DOI:
doi:10.5061/dryad.760r8
摘要:
ially for bats as they are important indicator species and most use sound to detect, localise and classify objects. However, using bat acoustic
Data from: Clinical and metabolic characteristics among Mexican children with different types of diabetes mellitus
负责人:
关键词:
Obesity;Pancreatic autoimmunity;Types of diabetes mellitus;insulin resistance;pediatric
DOI:
doi:10.5061/dryad.fg65j
摘要:
Background: Current classification of diabetes mellitus (DM) is based on etiology and includes type 1 (T1DM), type 2 (T2DM), gestational, and other
Farm Business Survey, 1999-2000: Special Licence Access;;Farm Business Survey, 1982- : Special Licence Access
负责人:
关键词:
DOI:
doi:10.5255/ukda-sn-4603-1
摘要:
farm type classification is based on 2010 SO coefficients. The change in typology has had an effect on the distribution of farms by farm type and income
Data from: Use of hidden Markov capture-recapture models to estimate abundance in presence of uncertainty: application to estimating the prevalence
负责人:
Santostasi, Nina Luisa
关键词:
hidden Markov models capture-recapture hybridization Viterbi algorithm
DOI:
doi:10.5061/dryad.8g8r675
摘要:
ng for imperfect detectability and uncertainty in individual's classification. We carried out a simulation study to compare naive and model‐based esti
Farm Business Survey, 2012-2013: Special Licence Access;;Farm Business Survey, 1982- : Special Licence Access;;FBS
负责人:
关键词:
DOI:
doi:10.5255/ukda-sn-7461-3
摘要:
type classification is based on 2010 SO coefficients. The change in typology has had an effect on the distribution of farms by farm type and income averages. Further
Data from: Automated taxonomic identification of insects with expert-level accuracy using effective feature transfer from convolutional networks
负责人:
关键词:
DOI:
doi:10.5061/dryad.20ch6p5
摘要:
ble for taxonomic tasks. This can be addressed using feature transfer: a CNN that has been pretrained on a generic image classification task is expose
Data from: Towards a framework for agent-based image analysis of remote-sensing data
负责人:
关键词:
autonomous systems;automation of image analysis;agent-based image analysis;agent-based systems;object-based image analysis;Remote sensing
DOI:
doi:10.5061/dryad.879c0
摘要:
lly improved classification results in comparison to pixel-based approaches. Nevertheless, robust and transferable object-based soluti
Data from: A multi-target brain-computer based on code modulated visual evoked potentials
负责人:
关键词:
Brain-Computer Interface;code modulation;c-VEP BCI;grouping modulation;the number of stimulus targets;visual evoked potential
DOI:
doi:10.5061/dryad.r1j3051
摘要:
e classified and the attended target was recognized. The averaged classification accuracy across subjects was 88.36% and the corresponding informati
Data from: Study of the accuracy of a machine learning muscle MRI-based tool for diagnosis the of muscular dystrophies
负责人:
关键词:
DOI:
doi:10.5061/dryad.7tb88vs
摘要:
o in the interpretation of the results of next generation sequencing tests. Classification of Evidence: This study provides Class II evidence that a muscle MRI-based
Data from: Taxonomy and phylogeny can yield comparable results in comparative palaeontological analyses
负责人:
关键词:
Taxonomy Phylogeny Fossil record PGLS Extinction clustering Phylogenetic signal Evolutionary mode
DOI:
doi:10.5061/dryad.pt3qm
摘要:
Many extinct taxa with extensive fossil records and mature taxonomic classifications have not yet been the subject of formal phylogenetic analysi

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