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: Computational Intelligence in Communications and Business Analytics; 5th International Co Kousik Dasgupta,Somnath Mukhopadhyay,Paramartha D

[复制链接]
楼主: complicated
发表于 2025-3-23 13:36:12 | 显示全部楼层
发表于 2025-3-23 15:12:38 | 显示全部楼层
https://doi.org/10.1007/978-3-319-41081-4dundant. Band reduction is a typical step before further processing. Instead of attempting to handle the complete information set without losing crucial data, it is essential to select the most valuable bands. Using traditional band selection techniques, the predetermined number of dimensions are se
发表于 2025-3-23 21:19:55 | 显示全部楼层
发表于 2025-3-23 23:18:39 | 显示全部楼层
发表于 2025-3-24 05:05:21 | 显示全部楼层
Tuula Andersson,Mika Boedeker,Vilma Vuoril land covers. Agriculture depends on several factors like climate, soil conditions, irrigation, fertilization, condition of pests. The increase in carbon footprint due to civilization adversely affects the worldwide climate which causes unexpected floods, droughts and increase in pests directly aff
发表于 2025-3-24 08:36:04 | 显示全部楼层
发表于 2025-3-24 14:30:57 | 显示全部楼层
Tuula Andersson,Mika Boedeker,Vilma Vuorieen totally concerned with easing the problems of the industry which have been existing to date. Our research has been focused on the shortcomings of various previous methods which have been suggested by previous researchers to classify religious sentiments. There has never been any single applicati
发表于 2025-3-24 18:32:42 | 显示全部楼层
发表于 2025-3-24 19:48:42 | 显示全部楼层
I. Antoniadis,I. Koukoulis,P. Serdarislar meteorological phenomenon. In this paper, an automatic identification of cloud types is proposed using a hybrid approach of convolution neural network (CNN) and bidirectional character based long short-term memory (LSTM). The large-scale cloud image database for meteorological research (LSCIDMR)
发表于 2025-3-25 02:20:02 | 显示全部楼层
Zoe-Charis Belenioti,Chris A. Vassiliadisfear can be predicted in conjunction with explaining the dependence structure on predictor variables, market players at different levels can be benefited. The current work endeavors to model the Chicago Board Options Exchange’s Volatility Index (CBOE VIX) of the US, reflecting the extent of market f
 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, 2025-7-4 10:41
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