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1
Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data
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Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data

Remote sensing (Basel, Switzerland), 2019-11, Vol.11 (22), p.2599 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11222599

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2
The key role of R-NHC coupling (R = C, H, heteroatom) and M-NHC bond cleavage in the evolution of M/NHC complexes and formation of catalytically active species
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The key role of R-NHC coupling (R = C, H, heteroatom) and M-NHC bond cleavage in the evolution of M/NHC complexes and formation of catalytically active species

Chemical science (Cambridge), 2020-07, Vol.11 (27), p.6957-6977 [Peer Reviewed Journal]

Copyright Royal Society of Chemistry 2020 ;This journal is © The Royal Society of Chemistry 2020 2020 ;ISSN: 2041-6520 ;EISSN: 2041-6539 ;DOI: 10.1039/d0sc02629h ;PMID: 33133486

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3
Classification of Cyrtodactylus marmoratus species complex based on the molecular approach
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Classification of Cyrtodactylus marmoratus species complex based on the molecular approach

Journal of physics. Conference series, 2019-01, Vol.1146 (1), p.12040 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1146/1/012040

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4
TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy
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TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy

Nature communications, 2019-05, Vol.10 (1), p.2182-2182, Article 2182 [Peer Reviewed Journal]

The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2019 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-019-10210-3 ;PMID: 31097708

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5
Tree Species Classification with Multi-Temporal Sentinel-2 Data
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Tree Species Classification with Multi-Temporal Sentinel-2 Data

Remote sensing (Basel, Switzerland), 2018-11, Vol.10 (11), p.1794 [Peer Reviewed Journal]

2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs10111794

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6
Correction: Developing and Integrating Advanced Movement Features Improves Automated Classification of Ciliate Species
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Correction: Developing and Integrating Advanced Movement Features Improves Automated Classification of Ciliate Species

PloS one, 2016-01, Vol.11 (1), p.e0148592-e0148592 [Peer Reviewed Journal]

COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 The PLOS ONE Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2016 The PLOS ONE Staff 2016 The PLOS ONE Staff ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0148592 ;PMID: 26824617

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7
Towards a better understanding of Lewis acidic aluminium in zeolites
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Towards a better understanding of Lewis acidic aluminium in zeolites

Nature materials, 2020-10, Vol.19 (10), p.1047-1056 [Peer Reviewed Journal]

Springer Nature Limited 2020. ;ISSN: 1476-1122 ;EISSN: 1476-4660 ;DOI: 10.1038/s41563-020-0751-3 ;PMID: 32958864

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8
Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks
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Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (7), p.1070 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12071070

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9
An optical neural chip for implementing complex-valued neural network
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An optical neural chip for implementing complex-valued neural network

Nature communications, 2021-01, Vol.12 (1), p.457-457, Article 457 [Peer Reviewed Journal]

The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-20719-7 ;PMID: 33469031

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10
A complete domain-to-species taxonomy for Bacteria and Archaea
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A complete domain-to-species taxonomy for Bacteria and Archaea

Nature biotechnology, 2020-09, Vol.38 (9), p.1079-1086 [Peer Reviewed Journal]

COPYRIGHT 2020 Nature Publishing Group ;The Author(s), under exclusive licence to Springer Nature America, Inc. 2020. ;ISSN: 1087-0156 ;EISSN: 1546-1696 ;DOI: 10.1038/s41587-020-0501-8 ;PMID: 32341564

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11
Tree species identification within an extensive forest area with diverse management regimes using airborne hyperspectral data
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Tree species identification within an extensive forest area with diverse management regimes using airborne hyperspectral data

International journal of applied earth observation and geoinformation, 2020-02, Vol.84, p.101960, Article 101960 [Peer Reviewed Journal]

2019 ;ISSN: 1569-8432 ;EISSN: 1872-826X ;DOI: 10.1016/j.jag.2019.101960

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12
Without quality presence-absence data, discrimination metrics such as TSS can be misleading measures of model performance
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Without quality presence-absence data, discrimination metrics such as TSS can be misleading measures of model performance

Journal of biogeography, 2018-09, Vol.45 (9), p.1994-2002 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0305-0270 ;EISSN: 1365-2699 ;DOI: 10.1111/jbi.13402

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13
Neuronal cell-type classification: challenges, opportunities and the path forward
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Neuronal cell-type classification: challenges, opportunities and the path forward

Nature reviews. Neuroscience, 2017-09, Vol.18 (9), p.530-546 [Peer Reviewed Journal]

COPYRIGHT 2017 Nature Publishing Group ;Copyright Nature Publishing Group Sep 2017 ;ISSN: 1471-003X ;EISSN: 1471-0048 ;DOI: 10.1038/nrn.2017.85 ;PMID: 28775344

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14
Tree-Species Classification in Subtropical Forests Using Airborne Hyperspectral and LiDAR Data
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Tree-Species Classification in Subtropical Forests Using Airborne Hyperspectral and LiDAR Data

Remote sensing (Basel, Switzerland), 2017-11, Vol.9 (11), p.1180 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs9111180

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15
Genus Metagentiana T. N. Ho & S. W. Liu (Gentianaceae Juss.) – a new record for flora of Vietnam
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Genus Metagentiana T. N. Ho & S. W. Liu (Gentianaceae Juss.) – a new record for flora of Vietnam

BIO Web of Conferences, 2021-01, Vol.30, p.5003 [Peer Reviewed Journal]

2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2117-4458 ;ISSN: 2273-1709 ;EISSN: 2117-4458 ;DOI: 10.1051/bioconf/20213005003

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16
Single-Sensor Solution to Tree Species Classification Using Multispectral Airborne Laser Scanning
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Single-Sensor Solution to Tree Species Classification Using Multispectral Airborne Laser Scanning

Remote sensing (Basel, Switzerland), 2017, Vol.9 (2), p.108-108 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs9020108

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17
Regulations of active moiety in single atom catalysts for electrochemical hydrogen evolution reaction
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Regulations of active moiety in single atom catalysts for electrochemical hydrogen evolution reaction

Nano research, 2022-07, Vol.15 (7), p.5792-5815 [Peer Reviewed Journal]

Tsinghua University Press 2022 ;Tsinghua University Press 2022. ;ISSN: 1998-0124 ;EISSN: 1998-0000 ;DOI: 10.1007/s12274-022-4265-y

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18
Individual Tree Species Classification Based on Convolutional Neural Networks and Multitemporal High-Resolution Remote Sensing Images
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Individual Tree Species Classification Based on Convolutional Neural Networks and Multitemporal High-Resolution Remote Sensing Images

Sensors (Basel, Switzerland), 2022-04, Vol.22 (9), p.3157 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22093157 ;PMID: 35590847

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19
Comparative cellular analysis of motor cortex in human, marmoset and mouse
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Article
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Comparative cellular analysis of motor cortex in human, marmoset and mouse

Nature (London), 2021-10, Vol.598 (7879), p.111-119 [Peer Reviewed Journal]

2021. The Author(s). ;Copyright Nature Publishing Group Oct 7, 2021 ;The Author(s) 2021, corrected publication 2022 ;ISSN: 0028-0836 ;ISSN: 1476-4687 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-021-03465-8 ;PMID: 34616062

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20
High-Resolution Mangrove Forests Classification with Machine Learning Using Worldview and UAV Hyperspectral Data
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High-Resolution Mangrove Forests Classification with Machine Learning Using Worldview and UAV Hyperspectral Data

Remote sensing (Basel, Switzerland), 2021-04, Vol.13 (8), p.1529 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13081529

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