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This is a Quantitative Study study.

September 16, 2025

Exploring Scalability of Deep Neural Networks for Real-Time Video Processing in Edge Devices

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This research explores DNNs' performance in real-time video processing on edge devices, suggesting improved methods for latency and efficiency.

DNNs can significantly reduce latency and power consumption through effective tuning.
Lightweight designs and model pruning are crucial for enhancing DNN performance on resource-constrained devices.
Quantization techniques can lower computational load while maintaining processing speed.
The findings provide insights into scalable DNN models for real-time applications in various fields.

Sevil Şen (2024) studied this question.

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This research explores DNNs' performance in real-time video processing on edge devices, suggesting improved methods for latency and efficiency.