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Shiyin Qin

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Articles

Embedded Artificial Intelligence: A Comprehensive Literature Review

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By Xiaoyuan Huang, Hongcheng Wang, Shiyin Qin, Su-Kit Tang
| Preprints.org
You are already at the latest version Embedded Artificial Intelligence (EAI) integrates AI technologies with resource-constrained embedded systems, overcoming the limitations of cloud AI in aspects such as latency and energy consumption, thereby empowering edge devices with autonomous decision-making and real-time intelligence.
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An Improved Approach to Detection of Rice Leaf Disease with GAN-Based Data Augmentation Pipeline

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By Shiyin Qin, Yunusa Haruna, Mbyamm Kiki
| MDPI
5. Experimental Results and Comparative Analysis This section describes the dataset in detail, the preprocessing of the data, the experimental scheme, and the comparative analysis of our results. 5.1. Experimental Datasets Description Our study used Rice Leaf Disease Image Samples from Mendeley Data [61]; it is an open-source dataset with 5932 images of rice leaf disease. The images are grouped into four rice leaf diseases as Bacterial blight (BB), Tungro (TG), Brown Spot (BS), and Rice Blast (RB).
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Real-Time Detection of Concealed Threats with Passive Millimeter Wave and Visible Images Via Deep Neural Networks

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By Tiejun Cui, Dinghao Zhang, Shiyin Qin, Jungang Miao
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited.
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