What question did this study set out to answer?

This research aims to develop and evaluate a collaborative intelligent system leveraging VGG16 and ResNet for improved cloud and edge computing processes.

May 15, 2026

Cloud-Edge-End Collaborative Intelligent System Based on VGG16 and ResNet

Key Points

This research aims to develop and evaluate a collaborative intelligent system leveraging VGG16 and ResNet for improved cloud and edge computing processes.
Developed a system integrating cloud and edge computing frameworks using VGG16 and ResNet architectures.
Evaluated performance metrics through simulations and tests in various computational scenarios.
The proposed system significantly enhanced processing speed by 30% (p<0.05) compared to traditional systems.
Increased accuracy in data handling and processing efficiency in collaborative tasks was observed.

Abstract

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Authors

Dong Pan

Fang Wang

Wuhan University

Ping Zhang

Jiangnan University

Journals

International Journal of Cloud Computing

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Cloud-Edge-End Collaborative Intelligent System Based on VGG16 and ResNet

Key Points

Abstract

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Connected Papers

Discussion

Authors

Journals

Actions

References and Citations

Citation Network

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