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Titlebook: Distributed Computing and Intelligent Technology; 19th International C Anisur Rahaman Molla,Gokarna Sharma,Sanjay Rawat Conference proceedi

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書(shū)目名稱Distributed Computing and Intelligent Technology
副標(biāo)題19th International C
編輯Anisur Rahaman Molla,Gokarna Sharma,Sanjay Rawat
視頻videohttp://file.papertrans.cn/282/281824/281824.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Distributed Computing and Intelligent Technology; 19th International C Anisur Rahaman Molla,Gokarna Sharma,Sanjay Rawat Conference proceedi
描述.This book constitutes the proceedings of the 19th International Conference on Distributed Computing and Intelligent Technology, ICDCIT 2023, which was held in Bhubaneswar, India, in January 2023..The 20 full papers and 9 short papers presented in this volume were carefully reviewed and selected from 55 submissions. The papers are organized in the following topical sections:?Invited Talks;?Distributed Computing; Intelligent Technology..
出版日期Conference proceedings 2023
關(guān)鍵詞artificial intelligence; communication systems; computer hardware; computer networks; computer science; c
版次1
doihttps://doi.org/10.1007/978-3-031-24848-1
isbn_softcover978-3-031-24847-4
isbn_ebook978-3-031-24848-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Conference proceedings 2023s held in Bhubaneswar, India, in January 2023..The 20 full papers and 9 short papers presented in this volume were carefully reviewed and selected from 55 submissions. The papers are organized in the following topical sections:?Invited Talks;?Distributed Computing; Intelligent Technology..
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Roger Jankowski M.D., Ph.D., PUPHP address database is partitioned into a different table based on first . bits of IP address, then a variant of trie approach is proposed to find the next hop. The proposed lookup approach shows 64.46% and 94.32% improvement than binary trie and BST implementations.
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The Primary Nose and Palate in Evolutionrged frames in surveillance videos. Firstly, the motion residuals are computed from the videos sequences to extract the video forgery footprints, which are generated due to the manipulation operations. Secondly, the computed motion residuals are fed to VGG-16 network for detecting authentic and forged frames in a surveillance video.
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The Toba supervolcanic eruption: , used for baseline comparison. The proposed DCNN approach outperformed all the baselines chosen with an improvement of 2.1% in the f1-score. This study shows that deep learning would be better for building models capable of classifying landslides on real-world datasets.
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