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: Distributed Computing and Artificial Intelligence, Special Sessions III - Intelligent Systems Applic; Francisco Zayas-Gato,Antonio Díaz-Lo

[复制链接]
楼主: complicated
发表于 2025-3-23 13:42:13 | 显示全部楼层
Lecture Notes in Networks and Systemshttp://image.papertrans.cn/e/image/284804.jpg
发表于 2025-3-23 14:50:57 | 显示全部楼层
发表于 2025-3-23 20:25:50 | 显示全部楼层
https://doi.org/10.1007/978-3-031-73910-1Intelligent Computing; Distributed Computing; Computational Intelligence; Artificial Intelligence; DCAI2
发表于 2025-3-24 00:26:46 | 显示全部楼层
发表于 2025-3-24 04:28:39 | 显示全部楼层
发表于 2025-3-24 09:34:18 | 显示全部楼层
e applying four machine learning techniques. The implemented virtual sensor accurately estimated the wind speed at 10 m, an interesting tool to eliminate the physical sensor’s buy, installation, and maintenance.
发表于 2025-3-24 14:22:04 | 显示全部楼层
2367-3370 Conference on Distributed Computing and Artificial Intellige.This volume of LNNS contains accepted papers presented at DCAI conference in the Special Session on Intelligent Systems Applications (ISA), Salamanca (Spain), June 2024. ISA is a major forum for presentation of development and applications
发表于 2025-3-24 16:42:50 | 显示全部楼层
pecifically, three different techniques have been considered in this research work: Multilayer Perceptrons, Long Short Term Memory networks and Convolutional Neural Networks. Satisfactory results have been obtained in all cases for predicting the temperature 24 h in advance, implementing an useful tool for enhance energy management.
发表于 2025-3-24 20:50:25 | 显示全部楼层
K-fold cross-validation is implemented within this framework. This comprehensive approach contributes to the advancement of water quality assessment methodologies, with potential implications for improving the efficiency and reliability of potability water classification models.
发表于 2025-3-25 02:32:23 | 显示全部楼层
ges, to which preprocessing techniques have been applied to enhance their quality and the legibility of the text contained within. The implementation of these models produced successful results, presenting a viable solution to improve the efficiency and accessibility of information retrieval processes within the industry.
 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, 2025-6-25 16:42
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