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Titlebook: Applied Intelligence; First International De-Shuang Huang,Prashan Premaratne,Changan Yuan Conference proceedings 2024 The Editor(s) (if ap

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發(fā)表于 2025-3-21 19:23:44 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applied Intelligence
期刊簡稱First International
影響因子2023De-Shuang Huang,Prashan Premaratne,Changan Yuan
視頻videohttp://file.papertrans.cn/160/159884/159884.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Applied Intelligence; First International  De-Shuang Huang,Prashan Premaratne,Changan Yuan Conference proceedings 2024 The Editor(s) (if ap
影響因子.This 2-volume set CCIS 2014 and CCIS 2015 constitutes the post-conference proceedings of the First International Conference on Applied Intelligence, ICAI 2023, held in Nanning, China, December 8–12, 2023..The 64 full papers presented in this proceedings were carefully selected and reviewed from 228 submissions. The papers cover a wide range on theoretical aspects of biomedical data modeling and mining; computer vision; and deep learning. They were organized in topical sections as follows:.Part I: Biomedical data modeling and mining; computer vision; deep learning;?.Part II: Intelligent control and automation; machine learning; natural language processing and computational linguistics..
Pindex Conference proceedings 2024
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書目名稱Applied Intelligence影響因子(影響力)




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Kreativit?t, Innovation und Entrepreneurshipng by optimizing images at different scales while preserving perceptual similarity. Experimental results demonstrate the effectiveness of our approach, offering high accuracy in automated surface defect detection.
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1865-0929 g. They were organized in topical sections as follows:.Part I: Biomedical data modeling and mining; computer vision; deep learning;?.Part II: Intelligent control and automation; machine learning; natural language processing and computational linguistics..978-981-97-0826-0978-981-97-0827-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
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發(fā)表于 2025-3-22 23:56:45 | 只看該作者
Dienstleistungen und Beziehungsmanagementthm. The accuracy rate of all detection targets was up to 93.9%, and the mAP @.5% reached 95.9%. Therefore, the algorithm could greatly improve the detection efficiency and greatly facilitate the electric power sectors to check power lines, so it has a high use value.
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Smart Power Safety Hazard Inspection System Based on YOLOv7thm. The accuracy rate of all detection targets was up to 93.9%, and the mAP @.5% reached 95.9%. Therefore, the algorithm could greatly improve the detection efficiency and greatly facilitate the electric power sectors to check power lines, so it has a high use value.
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