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

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书目名称Distributed Computing and Intelligent Technology影响因子(影响力)




书目名称Distributed Computing and Intelligent Technology影响因子(影响力)学科排名




书目名称Distributed Computing and Intelligent Technology网络公开度




书目名称Distributed Computing and Intelligent Technology网络公开度学科排名




书目名称Distributed Computing and Intelligent Technology被引频次




书目名称Distributed Computing and Intelligent Technology被引频次学科排名




书目名称Distributed Computing and Intelligent Technology年度引用




书目名称Distributed Computing and Intelligent Technology年度引用学科排名




书目名称Distributed Computing and Intelligent Technology读者反馈




书目名称Distributed Computing and Intelligent Technology读者反馈学科排名

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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.