An improved EAE-DETR model for defect detection of server motherboard Article Swipe

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Jing Chi , M. H. Zhang , Peihong Zhang , Guowang Niu , Zhihao Zheng ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1038/s41598-025-14957-2

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Computer Science

Motherboard

Convolutional Neural Network

Data Mining

Artificial Intelligence

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Computer science Context (archaeology) Motherboard Convolutional neural network Feature (linguistics) Data mining Upsampling Reduction (mathematics) Convolution (computer science) Real-time computing Pattern recognition (psychology) Artificial intelligence Computer hardware Artificial neural network Mathematics Biology Geometry Paleontology Philosophy Linguistics Image (mathematics)

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Type: article
Language: en
Landing Page: https://doi.org/10.1038/s41598-025-14957-2
OA Status: gold
References: 32
Related Works: 10
OpenAlex ID: https://openalex.org/W4413055987

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OpenAlex ID: https://openalex.org/W4413055987

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DOI: https://doi.org/10.1038/s41598-025-14957-2

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Title: An improved EAE-DETR model for defect detection of server motherboard

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-08-08

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Authors: Jing Chi, M. H. Zhang, Peihong Zhang, Guowang Niu, Zhihao Zheng

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Landing page: https://doi.org/10.1038/s41598-025-14957-2

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OA status: gold

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OA URL: https://doi.org/10.1038/s41598-025-14957-2

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Concepts: Computer science, Context (archaeology), Motherboard, Convolutional neural network, Feature (linguistics), Data mining, Upsampling, Reduction (mathematics), Convolution (computer science), Real-time computing, Pattern recognition (psychology), Artificial intelligence, Computer hardware, Artificial neural network, Mathematics, Biology, Geometry, Paleontology, Philosophy, Linguistics, Image (mathematics)

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Cited by: 0

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References (count): 32

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Related works (count): 10

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