skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Results 1 - 20 of 11,728  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 4 5 next page
Show only
Refined by: Database: DOAJ Directory of Open Access Journals remove
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Development of an Image Analysis Method for Pepperpot Emittance Monitors
Development of an Image Analysis Method for Pepperpot Emittance Monitors
Material Type:
Article 		Add to My Research

Development of an Image Analysis Method for Pepperpot Emittance Monitors

Journal of physics. Conference series, 2024-05, Vol.2743 (1), p.012071 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd. 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: 10.1088/1742-6596/2743/1/012071

Full text available

Citations Cited by
2
Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
Material Type:
Article 		Add to My Research

Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress

Plant methods, 2017-10, Vol.13 (1), p.80-80, Article 80 [Peer Reviewed Journal]

Copyright BioMed Central 2017 ;The Author(s) 2017 ;ISSN: 1746-4811 ;EISSN: 1746-4811 ;DOI: 10.1186/s13007-017-0233-z ;PMID: 29051772

Full text available

Citations Cited by
3
Deep Learning Applications in Medical Image Analysis
Deep Learning Applications in Medical Image Analysis
Material Type:
Article 		Add to My Research

Deep Learning Applications in Medical Image Analysis

IEEE access, 2018-01, Vol.6, p.9375-9389 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2017.2788044 ;CODEN: IAECCG

Full text available

Citations Cited by
4
Recent Advances in Multi- and Hyperspectral Image Analysis
Recent Advances in Multi- and Hyperspectral Image Analysis
Material Type:
Article 		Add to My Research

Recent Advances in Multi- and Hyperspectral Image Analysis

Sensors (Basel, Switzerland), 2021-09, Vol.21 (18), p.6002 [Peer Reviewed Journal]

2021 by the author. 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. ;2021 by the author. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21186002 ;PMID: 34577211

Full text available

Citations Cited by
5
Geographic Object-Based Image Analysis: A Primer and Future Directions
Geographic Object-Based Image Analysis: A Primer and Future Directions
Material Type:
Article 		Add to My Research

Geographic Object-Based Image Analysis: A Primer and Future Directions

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (12), p.2012 [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/rs12122012

Full text available

Citations Cited by
6
Monitoring Onion Crop “Cipolla Rossa di Tropea Calabria IGP” Growth and Yield Response to Varying Nitrogen Fertilizer Application Rates Using UAV Imagery
Monitoring Onion Crop “Cipolla Rossa di Tropea Calabria IGP” Growth and Yield Response to Varying Nitrogen Fertilizer Application Rates Using UAV Imagery
Material Type:
Article 		Add to My Research

Monitoring Onion Crop “Cipolla Rossa di Tropea Calabria IGP” Growth and Yield Response to Varying Nitrogen Fertilizer Application Rates Using UAV Imagery

Drones (Basel), 2021-09, Vol.5 (3), p.61 [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: 2504-446X ;EISSN: 2504-446X ;DOI: 10.3390/drones5030061

Full text available

Citations Cited by
7
Correction: Fuzzy-based propagation of prior knowledge to improve large-scale image analysis pipelines
Correction: Fuzzy-based propagation of prior knowledge to improve large-scale image analysis pipelines
Material Type:
Article 		Add to My Research

Correction: Fuzzy-based propagation of prior knowledge to improve large-scale image analysis pipelines

PloS one, 2018-03, Vol.13 (3), p.e0195394-e0195394 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Stegmaier, Mikut. 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. ;2018 Stegmaier, Mikut 2018 Stegmaier, Mikut ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0195394 ;PMID: 29596511

Full text available

Citations Cited by
8
Guest Editorial: Special issue on intelligence technology for remote sensing image
Guest Editorial: Special issue on intelligence technology for remote sensing image
Material Type:
Article 		Add to My Research

Guest Editorial: Special issue on intelligence technology for remote sensing image

CAAI Transactions on Intelligence Technology, 2023-12, Vol.8 (4), p.1164-1165 [Peer Reviewed Journal]

2023 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and Chongqing University of Technology. ;ISSN: 2468-2322 ;EISSN: 2468-2322 ;DOI: 10.1049/cit2.12275

Full text available

Citations Cited by
9
Image analysis of volcanic plumes: A simple calibration tool to correct for the effect of wind
Image analysis of volcanic plumes: A simple calibration tool to correct for the effect of wind
Material Type:
Article 		Add to My Research

Image analysis of volcanic plumes: A simple calibration tool to correct for the effect of wind

Volcanica, 2023-11, Vol.6 (2), p.447-458 [Peer Reviewed Journal]

ISSN: 2610-3540 ;EISSN: 2610-3540 ;DOI: 10.30909/vol.06.02.447458

Full text available

Citations Cited by
10
An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays
An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays
Material Type:
Article 		Add to My Research

An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays

PloS one, 2020-07, Vol.15 (7), p.e0232565-e0232565 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Suarez-Arnedo et al. 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. ;2020 Suarez-Arnedo et al 2020 Suarez-Arnedo et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0232565 ;PMID: 32722676

Full text available

Citations Cited by
11
Transfer learning for medical image classification: a literature review
Transfer learning for medical image classification: a literature review
Material Type:
Article 		Add to My Research

Transfer learning for medical image classification: a literature review

BMC medical imaging, 2022-04, Vol.22 (1), p.69-69, Article 69 [Peer Reviewed Journal]

2022. The Author(s). ;COPYRIGHT 2022 BioMed Central Ltd. ;2022. This work is licensed 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) 2022 ;ISSN: 1471-2342 ;EISSN: 1471-2342 ;DOI: 10.1186/s12880-022-00793-7 ;PMID: 35418051

Full text available

Citations Cited by
12
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
Material Type:
Article 		Add to My Research

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Journal of cardiovascular magnetic resonance, 2018-09, Vol.20 (1), p.65-65, Article 65 [Peer Reviewed Journal]

COPYRIGHT 2018 BioMed Central Ltd. ;COPYRIGHT 2018 BioMed Central Ltd. ;Copyright © 2018. This work is licensed 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) 2018 ;ISSN: 1532-429X ;ISSN: 1097-6647 ;EISSN: 1532-429X ;DOI: 10.1186/s12968-018-0471-x ;PMID: 30217194

Full text available

Citations Cited by
13
Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest
Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest
Material Type:
Article 		Add to My Research

Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest

IEEE journal of selected topics in applied earth observations and remote sensing, 2019-06, Vol.12 (6), p.1709-1724 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2019.2911113 ;CODEN: IJSTHZ

Digital Resources/Online E-Resources

Citations Cited by
14
Tooth and Bone Parameters in the Assessment of the Chronological Age of Children and Adolescents Using Neural Modelling Methods
Tooth and Bone Parameters in the Assessment of the Chronological Age of Children and Adolescents Using Neural Modelling Methods
Material Type:
Article 		Add to My Research

Tooth and Bone Parameters in the Assessment of the Chronological Age of Children and Adolescents Using Neural Modelling Methods

Sensors (Basel, Switzerland), 2021-09, Vol.21 (18), p.6008 [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. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21186008 ;PMID: 34577221

Full text available

Citations Cited by
15
Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association
Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association
Material Type:
Article 		Add to My Research

Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association

Journal of pathology informatics, 2019-01, Vol.10 (1), p.9-9, Article 9 [Peer Reviewed Journal]

2019 The Authors ;2019. This work is published under https://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019. This article is published under (http://creativecommons.org/licenses/by-nc-sa/3.0/) (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright: © 2019 Journal of Pathology Informatics 2019 ;ISSN: 2153-3539 ;ISSN: 2229-5089 ;EISSN: 2153-3539 ;DOI: 10.4103/jpi.jpi_82_18 ;PMID: 30984469

Full text available

Citations Cited by
16
Low‐Altitude UAV Imaging Accurately Quantifies Eelgrass Wasting Disease From Alaska to California
Low‐Altitude UAV Imaging Accurately Quantifies Eelgrass Wasting Disease From Alaska to California
Material Type:
Article 		Add to My Research

Low‐Altitude UAV Imaging Accurately Quantifies Eelgrass Wasting Disease From Alaska to California

Geophysical research letters, 2023-02, Vol.50 (4), p.n/a [Peer Reviewed Journal]

2023. The Authors. ;2023. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0094-8276 ;EISSN: 1944-8007 ;DOI: 10.1029/2022GL101985

Full text available

Citations Cited by
17
Deep learning for land use and land cover classification from the Ecuadorian Paramo
Deep learning for land use and land cover classification from the Ecuadorian Paramo
Material Type:
Article 		Add to My Research

Deep learning for land use and land cover classification from the Ecuadorian Paramo

International journal of digital earth, 2022-12, Vol.15 (1), p.1001-1017 [Peer Reviewed Journal]

2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2022 ;2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License 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. ;ISSN: 1753-8947 ;EISSN: 1753-8955 ;DOI: 10.1080/17538947.2022.2088872

Full text available

Citations Cited by
18
Gradient Boosting Machine and Object-Based CNN for Land Cover Classification
Gradient Boosting Machine and Object-Based CNN for Land Cover Classification
Material Type:
Article 		Add to My Research

Gradient Boosting Machine and Object-Based CNN for Land Cover Classification

Remote sensing (Basel, Switzerland), 2021-07, Vol.13 (14), p.2709 [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/rs13142709

Full text available

Citations Cited by
19
The Medical Segmentation Decathlon
The Medical Segmentation Decathlon
Material Type:
Article 		Add to My Research

The Medical Segmentation Decathlon

Nature communications, 2022-07, Vol.13 (1), p.4128-4128, Article 4128 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. 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) 2022 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-022-30695-9 ;PMID: 35840566

Full text available

Citations Cited by
20
A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia
A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia
Material Type:
Article 		Add to My Research

A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia

Sensors (Basel, Switzerland), 2019-11, Vol.19 (22), p.4893 [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. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19224893 ;PMID: 31717546

Full text available

Citations Cited by

Results 1 - 20 of 11,728  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 4 5 next page

Personalize your results

  1. Edit

Refine Search Results

Expand My Results

  1.   

Show only

  1. Peer-reviewed Journals (11,313)

Refine My Results

Creation Date 

From To
Refine
  1. Before 1989  (12)
  2. 1989 To 1997  (112)
  3. 1998 To 2006  (497)
  4. 2007 To 2016  (2,620)
  5. After 2016  (8,484)
  6. More options open sub menu

Language 

  1. English  (11,593)
  2. Japanese  (958)
  3. Portuguese  (195)
  4. Spanish  (72)
  5. Chinese  (43)
  6. Russian  (42)
  7. French  (39)
  8. Czech  (32)
  9. Catalan  (29)
  10. German  (28)
  11. Slovak  (26)
  12. Arabic  (12)
  13. Polish  (12)
  14. Persian  (11)
  15. Norwegian  (10)
  16. Italian  (9)
  17. Croatian  (9)
  18. Turkish  (6)
  19. Korean  (5)
  20. Bulgarian  (3)
  21. More options open sub menu
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait