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: Soft Computing in Data Analytics; Proceedings of Inter Janmenjoy Nayak,Ajith Abraham,Asit Kumar Das Conference proceedings 2019 Springer Na

[复制链接]
查看: 27089|回复: 62
发表于 2025-3-21 17:40:58 | 显示全部楼层 |阅读模式
书目名称Soft Computing in Data Analytics
副标题Proceedings of Inter
编辑Janmenjoy Nayak,Ajith Abraham,Asit Kumar Das
视频video
概述Describes advancements in the fields of soft computing and related areas.Contains original research papers on innovations and algorithms, applications of soft computing and advance computing.Serves as
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Soft Computing in Data Analytics; Proceedings of Inter Janmenjoy Nayak,Ajith Abraham,Asit Kumar Das Conference proceedings 2019 Springer Na
描述.The volume contains original research findings, exchange of ideas and dissemination of innovative, practical development experiences in different fields of soft and advance computing. It provides insights into the International Conference on Soft Computing in Data Analytics (SCDA). It also concentrates on both theory and practices from around the world in all the areas of related disciplines of soft computing. The book provides rapid dissemination of important results in soft computing technologies, a fusion of research in fuzzy logic, evolutionary computations, neural science and neural network systems and chaos theory and chaotic systems, swarm based algorithms, etc. The book aims to cater the postgraduate students and researchers working in the discipline of computer science and engineering along with other engineering branches... .
出版日期Conference proceedings 2019
关键词Innovations and Algorithms; Applications of Soft Computing; Advance Computing; SCDA 2018; SCDA Proceedin
版次1
doihttps://doi.org/10.1007/978-981-13-0514-6
isbn_softcover978-981-13-0513-9
isbn_ebook978-981-13-0514-6Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

书目名称Soft Computing in Data Analytics影响因子(影响力)




书目名称Soft Computing in Data Analytics影响因子(影响力)学科排名




书目名称Soft Computing in Data Analytics网络公开度




书目名称Soft Computing in Data Analytics网络公开度学科排名




书目名称Soft Computing in Data Analytics被引频次




书目名称Soft Computing in Data Analytics被引频次学科排名




书目名称Soft Computing in Data Analytics年度引用




书目名称Soft Computing in Data Analytics年度引用学科排名




书目名称Soft Computing in Data Analytics读者反馈




书目名称Soft Computing in Data Analytics读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-22 00:13:49 | 显示全部楼层
发表于 2025-3-22 01:45:15 | 显示全部楼层
发表于 2025-3-22 05:45:13 | 显示全部楼层
Nawdha Thakoor,Dhiren Kumar Behera,Désiré Yannick Tangman,Muddun BhuruthDiscrete handling describes systems that use a fixed number of vehicles (e.g. industrial trucks, AGVs, etc.) for transferring unit loads between workcenters. In designing job shop facilities using discrete materials handling systems, the designer must cost-effectively trade-off handling opacity and
发表于 2025-3-22 10:26:25 | 显示全部楼层
Abdul Wahid Nasir,Arun Kumar SinghDiscrete handling describes systems that use a fixed number of vehicles (e.g. industrial trucks, AGVs, etc.) for transferring unit loads between workcenters. In designing job shop facilities using discrete materials handling systems, the designer must cost-effectively trade-off handling opacity and
发表于 2025-3-22 13:54:34 | 显示全部楼层
发表于 2025-3-22 17:34:34 | 显示全部楼层
发表于 2025-3-22 22:12:26 | 显示全部楼层
发表于 2025-3-23 03:58:11 | 显示全部楼层
Shrabani Sahu,Sasmita Beheralows and nexuses.Combines popular approaches of material flo.This book introduces and integrates material flows with their nexuses in the regional socioeconomic system, to explore the environmental impacts of the system. Currently, many related studies conducted on global and country levels focus on
发表于 2025-3-23 08:51:19 | 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, 2025-5-14 14:07
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