用户名  找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Intelligent Systems Design and Applications; Information and Netw Ajith Abraham,Sabri Pllana,Patrick Siarry Conference proceedings 2024 The

[复制链接]
楼主: 补给线
发表于 2025-3-23 12:10:30 | 显示全部楼层
Enhancing Positivity on Social Media: A Review of Offensive Comment Classification,, which are employed to train and optimize the model. We reviewed past work to compare the standard supervised learning models like Support Vector Machine and Naive Bayes to emergent transformer models like BERT to identify the superior approach that would improve a model‘s accuracy and effectiveness.
发表于 2025-3-23 14:15:44 | 显示全部楼层
发表于 2025-3-23 19:06:04 | 显示全部楼层
发表于 2025-3-24 01:52:27 | 显示全部楼层
发表于 2025-3-24 04:28:00 | 显示全部楼层
发表于 2025-3-24 07:19:57 | 显示全部楼层
,Deepfake Detection System for Facial Evidence Verification in Criminal Justice and Its Legal and Etpractical in the criminal justice domain preventing wrongful convictions of innocent victims of deepfake technology manipulations. This study contributes to the domain of facial evidence verification in criminal justice with a more robust and explainable approach than the current methods using the combination of the above methods.
发表于 2025-3-24 11:56:32 | 显示全部楼层
Improving the Cryptocurrency Price Prediction Using Deep Learning, learning models. By integrating these techniques, our framework not only outperforms traditional methods but also offers insights into which cryptocurrencies are more compatible with particular models. This research contributes to the advancement of cryptocurrency prediction and aids better financial decision-making.
发表于 2025-3-24 14:59:00 | 显示全部楼层
发表于 2025-3-24 19:34:57 | 显示全部楼层
发表于 2025-3-25 00:47:55 | 显示全部楼层
2367-3370 elligent Systems Design and Applications ISDA 2023.Written b.This book highlights recent research on intelligent systems and nature-inspired computing. It presents 50 selected papers focused on .Information and Network Security. from the 23rd International Conference on Intelligent Systems Design an
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-6 19:51
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表