Enhancing Unmanned Aerial Vehicle Object Detection via Tensor Decompositions and Positive–Negative Momentum Optimizers

Enhancing Unmanned Aerial Vehicle Object Detection via Tensor Decompositions and Positive–Negative Momentum Optimizers

The current development of machine learning has advanced many fields in applied sciences and industry, including remote sensing. In this area, deep neural networks are used to solve routine object detection problems, satisfying the required rules and conditions. However, the growing number and diffi...

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Opis bibliograficzny
Główni autorzy:	Abdulkadirov, R. I., Абдулкадиров, Р. И., Lyakhov, P. A., Ляхов, П. А., Nagornov, N. N., Нагорнов, Н. Н., Reznikov, D. K., Резников, Д. К., Bobrov, A. A., Бобров, А. А., Kalita, D. I., Калита, Д. И.
Format:	Статья
Język:	English
Wydane:	Multidisciplinary Digital Publishing Institute (MDPI) 2025
Hasła przedmiotowe:	Neural networks Tensor decomposition Optimization Positive–negative moments Remote sensing
Dostęp online:	https://dspace.ncfu.ru/handle/123456789/30391
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

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