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Titlebook: Computational Intelligence and Network Systems; First International Raja Muthalagu,Tamizharasan P S,Michele Fiorentino Conference proceedi

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發(fā)表于 2025-3-21 16:46:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Intelligence and Network Systems
副標(biāo)題First International
編輯Raja Muthalagu,Tamizharasan P S,Michele Fiorentino
視頻videohttp://file.papertrans.cn/233/232436/232436.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Computational Intelligence and Network Systems; First International  Raja Muthalagu,Tamizharasan P S,Michele Fiorentino Conference proceedi
描述This book constitutes the proceedings of the First International Conference, CINS 2023, held in Dubai, United Arab Emirates, from October 18 to 20, 2023..The 11 full papers included in this volume were carefully reviewed and selected from 130 submissions. This volume discusses contemporary challenges within computing systems and the utilization of intelligent approaches to improve computing methodologies, data processing capabilities, and the application of these intelligent techniques. The book also addresses several topics pertaining to networks, including security, network data processing, networks that transcend boundaries, device heterogeneity, and advancements in networks connected to the Internet of Things, software-defined networks, cloud computing, and intelligent networks..
出版日期Conference proceedings 2024
關(guān)鍵詞artificial intelligence; machine learning; deep learning; iintelligent computing; data processing; data a
版次1
doihttps://doi.org/10.1007/978-3-031-48984-6
isbn_softcover978-3-031-48983-9
isbn_ebook978-3-031-48984-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Computational Intelligence and Network Systems影響因子(影響力)




書目名稱Computational Intelligence and Network Systems影響因子(影響力)學(xué)科排名




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書目名稱Computational Intelligence and Network Systems被引頻次




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發(fā)表于 2025-3-21 22:49:02 | 只看該作者
Arzneimittelsicherheitssystem und Akteure,UNet based network. The results indicate that the proposed system achieves high accuracy of 95.14%, sensitivity of 90.00%, and specificity of around 96.72% to classify various heart sound abnormalities.
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1865-0929 to 20, 2023..The 11 full papers included in this volume were carefully reviewed and selected from 130 submissions. This volume discusses contemporary challenges within computing systems and the utilization of intelligent approaches to improve computing methodologies, data processing capabilities, a
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發(fā)表于 2025-3-22 17:44:42 | 只看該作者
MLSM: A Metadata Driven Learning Infused Semantics Oriented Model for Web Image Recommendation via William index and adaptive pointwise mutual index measures are integrated into the model. An intermediate semantic network is formalized, and Optimization is achieved using the harmonic search algorithm. Proposed MLSM is best among the baseline models with Precision of 94.09% recall of 96.91%.
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發(fā)表于 2025-3-22 23:37:21 | 只看該作者
Conference proceedings 2024lication of these intelligent techniques. The book also addresses several topics pertaining to networks, including security, network data processing, networks that transcend boundaries, device heterogeneity, and advancements in networks connected to the Internet of Things, software-defined networks, cloud computing, and intelligent networks..
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發(fā)表于 2025-3-23 01:56:13 | 只看該作者
Der Arzneimittelproduzent im Strafrecht, William index and adaptive pointwise mutual index measures are integrated into the model. An intermediate semantic network is formalized, and Optimization is achieved using the harmonic search algorithm. Proposed MLSM is best among the baseline models with Precision of 94.09% recall of 96.91%.
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發(fā)表于 2025-3-23 06:28:37 | 只看該作者
Conference proceedings 202423..The 11 full papers included in this volume were carefully reviewed and selected from 130 submissions. This volume discusses contemporary challenges within computing systems and the utilization of intelligent approaches to improve computing methodologies, data processing capabilities, and the app
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