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Application of classifier sequences in the task of state analysis of Internet of Things devices
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Application of classifier sequences in the task of state analysis of Internet of Things devices

St. Petersburg State Polytechnical University Journal. Computer Science. Telecommunications and Control Systems, 2020, Vol.13 (3), p.44 [Peer Reviewed Journal]

2020. This work is published under https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2304-9766 ;DOI: 10.18721/JCSTCS.13304

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Supplemental Information for Generating an Aerosol of Homogeneous, Non-Spherical Particles and Measuring their Bipolar Charge Distribution
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Supplemental Information for Generating an Aerosol of Homogeneous, Non-Spherical Particles and Measuring their Bipolar Charge Distribution

Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0 ;DOI: 10.17863/CAM.60031

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3
NetiNeti : Discovery of Scientific Names from Text Using Machine Learning Methods Figure 1
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NetiNeti : Discovery of Scientific Names from Text Using Machine Learning Methods Figure 1

DOI: 10.1575/1912/4965

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4
Data from: Rapid and accurate taxonomic classification of insect (Class Insecta) cytochrome c oxidase subunit 1 (COI) DNA barcode sequences using a naïve Bayesian classifier
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Data from: Rapid and accurate taxonomic classification of insect (Class Insecta) cytochrome c oxidase subunit 1 (COI) DNA barcode sequences using a naïve Bayesian classifier

DOI: 10.5061/dryad.bc8pc

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5
Research data supporting "Novel surface features for automated detection of focal cortical dysplasias in paediatric epilepsy"
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Research data supporting "Novel surface features for automated detection of focal cortical dysplasias in paediatric epilepsy"

Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0 ;DOI: 10.17863/CAM.6923

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6
Software, Data & Models used in "Identifying Animal Species in Camera Trap Images using Deep Learning and Citizen Science"
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Software, Data & Models used in "Identifying Animal Species in Camera Trap Images using Deep Learning and Citizen Science"

CC0 1.0 Universal Public Domain Dedication http://creativecommons.org/publicdomain/zero/1.0

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7
Aerosol particle size distribution during the Reef To Rainforest campaign
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Aerosol particle size distribution during the Reef To Rainforest campaign

CC-BY-4.0: Creative Commons Attribution 4.0 International (License comes into effect after moratorium ends) Access constraints: access rights needed info:eu-repo/semantics/restrictedAccess

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