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SHAHLA URALOVA

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#edge computing Open access Oct 2026

PERFORMANCE BENCHMARKING OF EMBEDDED EDGE DEVICES FOR VARIOUS FACE RECOGNITION MODELS

Artificial Intelligence (AI) models are increasingly pivotal in enabling face recognition across various fields, from educational and research settings to public spaces.Effective deployment of these models requires high-performance hardware, such as RTX graphics cards or embedded edge devices like Nvidia's AGX Orin and...

Rasim Mahmudov, SHAHLA URALOVA, Amil Babayev · 0 citations
#artificial intelligence Open access Oct 2026

BENCHMARKING 2D AND 3D OBJECT DETECTION MODELS ON DIFFERENT EDGE COMPUTING PLATFORMS

The deployment of artificial intelligence models on edge computing platforms is imperative for applications necessitating real-time perception, including object detection and gesture recognition.This paper presents a thoroughgoing benchmarking study of 2D and 3D convolutional neural network models across a range of rep...

SHAHLA URALOVA, Amil Babayev, Qurban YUSUFOV et al. · 0 citations

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