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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Autors principals:	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
Idioma:	English
Publicat:	Multidisciplinary Digital Publishing Institute (MDPI) 2025
Matèries:	Neural networks Tensor decomposition Optimization Positive–negative moments Remote sensing
Accés en línia:	https://dspace.ncfu.ru/handle/123456789/30391
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!

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https://dspace.ncfu.ru/handle/123456789/30391

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

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