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

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A Perspective of?IP Lookup Approach Using Graphical Processing Unit (GPU)P 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.

Hiatus

一加就噴出

Detection of?Object-Based Forgery in?Surveillance Videos Utilizing Motion Residual and?Deep Learningrged 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.

Obscure

Early Detection of Covid Using Spectral Analysis of Cough and Deep Convolutional Neural Networkd method with the cough spectral analysis and Deep Learning based algorithm returns the covid infection probability. The empirical results show that the proposed method of covid detection using cough spectral analysis using DWT and deep learning achieves better accuracy, while compared to the conventional methods.

monopoly

該得

Fine-Tuning of?Multilingual Models for?Sentiment Classification in?Code-Mixed Indian Language Textsalam and Tamil datasets were used to evaluate the model. Our work shows that transformer-based architectures for sequential classification tasks, at least for sentiment analysis, perform better than traditional machine learning solutions for code-mixed data.

聲明

0302-9743 lected from 55 submissions. The papers are organized in the following topical sections:?Invited Talks;?Distributed Computing; Intelligent Technology..978-3-031-24847-4978-3-031-24848-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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CHASE

Greenhouse Gases and Mass Extinctions,n two tasks. Scheduling a workflow to achieve certain goal(s) (e.g.; minimize makespan, cost, penalty, and energy; maximize reliability, processor utilization, etc.) remains an active area of research. In this paper, we propose an efficient scheduling algorithm for workflows in heterogeneous multi-p

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