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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Главные авторы:	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.
格式:	Статья
语言:	English
出版:	Multidisciplinary Digital Publishing Institute (MDPI) 2025
主题:	Neural networks Tensor decomposition Optimization Positive–negative moments Remote sensing
在线阅读:	https://dspace.ncfu.ru/handle/123456789/30391
标签:	添加标签没有标签, 成为第一个标记此记录!

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