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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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Bibliografische gegevens
Hoofdauteurs: 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.
Formaat: Статья
Taal:English
Gepubliceerd in: Multidisciplinary Digital Publishing Institute (MDPI) 2025
Onderwerpen:
Neural networks
Tensor decomposition
Optimization
Positive–negative moments
Remote sensing
Online toegang:https://dspace.ncfu.ru/handle/123456789/30391
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https://dspace.ncfu.ru/handle/123456789/30391

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