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: Disruptive Information Technologies for a Smart Society; Proceedings of the 1 Miroslav Trajanovic,Nenad Filipovic,Milan Zdravkov Conference

[复制链接]
查看: 32970|回复: 59
发表于 2025-3-21 17:30:55 | 显示全部楼层 |阅读模式
书目名称Disruptive Information Technologies for a Smart Society
副标题Proceedings of the 1
编辑Miroslav Trajanovic,Nenad Filipovic,Milan Zdravkov
视频video
概述Proceedings of the 13th International conference on information society and technologies (ICIST).Presents recent research on Disruptive Information Technologies for a Smart Society.Written by respecte
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Disruptive Information Technologies for a Smart Society; Proceedings of the 1 Miroslav Trajanovic,Nenad Filipovic,Milan Zdravkov Conference
描述.This book aims at meeting the challenge of getting along with today’s unprecedented rate of innovation supported by disruptive digital technologies, which changed the perception of the productivity and effectiveness and opened a gateway to more than ever dynamic advances in solving the important societal challenges..."Disruptive Information Technologies for a Smart Society" is the proceedings book of the 13th International conference for information society and technologies that brings together experts from various fields to discuss the latest advancements in software engineering, machine learning, digital water, and ICT for health and sport...The book and the conference serve as a platform for researchers of all career stages in technical sciences, especially Ph.D. students, practitioners, and industry experts in health care, energy, Fintech, AI, and other areas to share and learn on the cutting-edge technologies and stay at the forefront of these rapidly evolving fields..
出版日期Conference proceedings 2024
关键词Computational intelligence; software engineering; machine learning; digital water; blockchain; digital he
版次1
doihttps://doi.org/10.1007/978-3-031-50755-7
isbn_softcover978-3-031-50754-0
isbn_ebook978-3-031-50755-7Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

书目名称Disruptive Information Technologies for a Smart Society影响因子(影响力)




书目名称Disruptive Information Technologies for a Smart Society影响因子(影响力)学科排名




书目名称Disruptive Information Technologies for a Smart Society网络公开度




书目名称Disruptive Information Technologies for a Smart Society网络公开度学科排名




书目名称Disruptive Information Technologies for a Smart Society被引频次




书目名称Disruptive Information Technologies for a Smart Society被引频次学科排名




书目名称Disruptive Information Technologies for a Smart Society年度引用




书目名称Disruptive Information Technologies for a Smart Society年度引用学科排名




书目名称Disruptive Information Technologies for a Smart Society读者反馈




书目名称Disruptive Information Technologies for a Smart Society读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:24:21 | 显示全部楼层
发表于 2025-3-22 02:57:58 | 显示全部楼层
发表于 2025-3-22 05:29:27 | 显示全部楼层
Paul I. Schneiderman,Marc E. Grossman major role in the analysis of eye tracker data and influences saccade parameters, a more thorough algorithm evaluation is required for guided threshold estimation for saccade identification from eye tracker data recorded with low sampling frequency.
发表于 2025-3-22 12:14:50 | 显示全部楼层
Paul I. Schneiderman,Marc E. Grossmanuage workflows. This implies creating a CWL implementation on the Functional Engine Service backend and creating an acceptable User Interface. The key advantage of SGABU platform is the utilization of new, contemporary, modular, and unique technology for various levels of architecture.
发表于 2025-3-22 14:03:40 | 显示全部楼层
Paul I. Schneiderman,Marc E. Grossmanted with two different classification models, and was also calculated using two different methods of manual data annotation. All of the acquired results show both similarities and differences from one another. The acquired results were evaluated based on the predictive abilities of classification mo
发表于 2025-3-22 18:24:31 | 显示全部楼层
发表于 2025-3-22 21:16:00 | 显示全部楼层
Paul I. Schneiderman,Marc E. Grossmany serving as a valuable resource for identifying associated research gaps but also evidence-based policymaking aimed at effectively addressing the challenges associated with AI in public administration in the future.
发表于 2025-3-23 05:04:10 | 显示全部楼层
Paul I. Schneiderman,Marc E. Grossmann isolated from normal samples, and a K-means clustering model categorized similar attacks and labeled anomaly clusters. The most suitable supervised model for the data was determined through experimentation with various classifiers, including SVM, Random Forest, Decision Tree, KNearest Neighbor, an
发表于 2025-3-23 07:05:56 | 显示全部楼层
 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, 2025-5-19 22:32
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