Editorial for the Special Issue "Machine Learning in Computer Vision and Image Sensing: Theory and Applications".
- Publisher:
- MDPI
- Publication Type:
- Journal Article
- Citation:
- Sensors (Basel), 2024, 24, (9), pp. 2874
- Issue Date:
- 2024-04-30
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Chakraborty, S | |
dc.contributor.author |
Pradhan, B https://orcid.org/0000-0001-9863-2054 |
|
dc.date.accessioned | 2024-08-02T02:45:00Z | |
dc.date.available | 2024-03-25 | |
dc.date.available | 2024-08-02T02:45:00Z | |
dc.date.issued | 2024-04-30 | |
dc.identifier.citation | Sensors (Basel), 2024, 24, (9), pp. 2874 | |
dc.identifier.issn | 1424-8220 | |
dc.identifier.issn | 1424-8220 | |
dc.identifier.uri | http://hdl.handle.net/10453/180000 | |
dc.description.abstract | Machine learning (ML) models have experienced remarkable growth in their application for multimodal data analysis over the past decade [...]. | |
dc.format | Electronic | |
dc.language | eng | |
dc.publisher | MDPI | |
dc.relation.ispartof | Sensors (Basel) | |
dc.relation.isbasedon | 10.3390/s24092874 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | 0301 Analytical Chemistry, 0502 Environmental Science and Management, 0602 Ecology, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering | |
dc.subject.classification | Analytical Chemistry | |
dc.subject.classification | 3103 Ecology | |
dc.subject.classification | 4008 Electrical engineering | |
dc.subject.classification | 4009 Electronics, sensors and digital hardware | |
dc.subject.classification | 4104 Environmental management | |
dc.subject.classification | 4606 Distributed computing and systems software | |
dc.title | Editorial for the Special Issue "Machine Learning in Computer Vision and Image Sensing: Theory and Applications". | |
dc.type | Journal Article | |
utslib.citation.volume | 24 | |
utslib.location.activity | Switzerland | |
utslib.for | 0301 Analytical Chemistry | |
utslib.for | 0502 Environmental Science and Management | |
utslib.for | 0602 Ecology | |
utslib.for | 0805 Distributed Computing | |
utslib.for | 0906 Electrical and Electronic Engineering | |
pubs.organisational-group | University of Technology Sydney | |
pubs.organisational-group | University of Technology Sydney/Faculty of Engineering and Information Technology | |
pubs.organisational-group | University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering | |
pubs.organisational-group | University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems | |
utslib.copyright.status | open_access | * |
dc.rights.license | This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ | |
dc.date.updated | 2024-08-02T02:44:59Z | |
pubs.issue | 9 | |
pubs.publication-status | Published online | |
pubs.volume | 24 | |
utslib.citation.issue | 9 |
Abstract:
Machine learning (ML) models have experienced remarkable growth in their application for multimodal data analysis over the past decade [...].
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