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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Hlavní autoři:	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.
Médium:	Статья
Jazyk:	English
Vydáno:	Multidisciplinary Digital Publishing Institute (MDPI) 2025
Témata:	Neural networks Tensor decomposition Optimization Positive–negative moments Remote sensing
On-line přístup:	https://dspace.ncfu.ru/handle/123456789/30391
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo otaguje tento záznam!

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