Publication:

Hybrid DNN-Based Flight Power Estimation Framework for Unmanned Aerial Vehicles

Date

 
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0003-3378-887X
cris.virtualsource.department93bad253-774e-4816-813b-40901fefdc0f
cris.virtualsource.orcid93bad253-774e-4816-813b-40901fefdc0f
dc.contributor.authorKim, Minsu
dc.contributor.authorKim, Minji
dc.contributor.authorChen, Yukai
dc.contributor.authorKim, Jaemin
dc.contributor.authorBaek, Donkyu
dc.contributor.imecauthorChen, Yukai
dc.contributor.orcidimecChen, Yukai::0000-0003-3378-887X
dc.date.accessioned2025-03-05T20:23:29Z
dc.date.available2025-03-05T20:23:29Z
dc.date.issued2025-FEB
dc.description.wosFundingTextThis research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), which is funded by the Ministry of Education (no. 2020R1A6A1A12047945).
dc.identifier.doi10.3390/drones9020104
dc.identifier.issn2504-446X
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45311
dc.publisherMDPI
dc.source.beginpage104
dc.source.issue2
dc.source.journalDRONES
dc.source.numberofpages19
dc.source.volume9
dc.title

Hybrid DNN-Based Flight Power Estimation Framework for Unmanned Aerial Vehicles

dc.typeJournal article
dspace.entity.typePublication
Files

Original bundle

Name:
drones-09-00104-v3.pdf
Size:
3.97 MB
Format:
Adobe Portable Document Format
Description:
Published
Publication available in collections: