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: Theories and Applications; Proceedings of SoCTA Rajesh Kumar,Ajit Kumar Verma,Sanjay Sharma Conference proceedings 2023 The

[复制链接]
查看: 42193|回复: 60
发表于 2025-3-21 17:12:48 | 显示全部楼层 |阅读模式
书目名称Soft Computing: Theories and Applications
副标题Proceedings of SoCTA
编辑Rajesh Kumar,Ajit Kumar Verma,Sanjay Sharma
视频video
概述Provides insights into soft computing and inspires researchers to work in the field of soft computing.Results of SoCTA 2022 held in December 2022.Serves as a reference for researchers and practitioner
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Soft Computing: Theories and Applications; Proceedings of SoCTA Rajesh Kumar,Ajit Kumar Verma,Sanjay Sharma Conference proceedings 2023 The
描述.This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and health care, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2022), held at University Institute of Technology, Himachal Pradesh University Shimla, Himachal Pradesh, India. The book offers valuable insights into soft computing for teachers and researchers alike; the book inspires further research in this dynamic field..
出版日期Conference proceedings 2023
关键词Global Optimization; Engineering Applications; Computational Intelligence; Neural Networks; Metaheuristi
版次1
doihttps://doi.org/10.1007/978-981-19-9858-4
isbn_softcover978-981-19-9857-7
isbn_ebook978-981-19-9858-4Series 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 Singapor
The information of publication is updating

书目名称Soft Computing: Theories and Applications影响因子(影响力)




书目名称Soft Computing: Theories and Applications影响因子(影响力)学科排名




书目名称Soft Computing: Theories and Applications网络公开度




书目名称Soft Computing: Theories and Applications网络公开度学科排名




书目名称Soft Computing: Theories and Applications被引频次




书目名称Soft Computing: Theories and Applications被引频次学科排名




书目名称Soft Computing: Theories and Applications年度引用




书目名称Soft Computing: Theories and Applications年度引用学科排名




书目名称Soft Computing: Theories and Applications读者反馈




书目名称Soft Computing: Theories and Applications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

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

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 2025-3-21 21:33:44 | 显示全部楼层
发表于 2025-3-22 03:15:28 | 显示全部楼层
https://doi.org/10.1007/978-981-19-9858-4Global Optimization; Engineering Applications; Computational Intelligence; Neural Networks; Metaheuristi
发表于 2025-3-22 07:42:36 | 显示全部楼层
,A New Family of Generalized Euler-Genocchi Polynomials Associated with Hermite Polynomials,In this paper, we introduce a new class of generalized Hermite-based Euler-Genocchi polynomials and present some properties and identities of these polynomials. We derive some explicit and implicit summation formulas of these polynomials. Also, we derive some symmetry identities of these polynomials by applying generating functions.
发表于 2025-3-22 09:30:21 | 显示全部楼层
Rajesh Kumar,Ajit Kumar Verma,Sanjay SharmaProvides insights into soft computing and inspires researchers to work in the field of soft computing.Results of SoCTA 2022 held in December 2022.Serves as a reference for researchers and practitioner
发表于 2025-3-22 15:19:27 | 显示全部楼层
978-981-19-9857-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
发表于 2025-3-22 19:36:01 | 显示全部楼层
发表于 2025-3-23 01:06:19 | 显示全部楼层
发表于 2025-3-23 02:28:04 | 显示全部楼层
,Empirical Analysis of Unsupervised Link Prediction Algorithms in Weighted Networks,on several real networks of different domains. We observed that the weighted version of the method path of length 3, i.e. L3-WT outperforms other methods on all four evaluation metrics with some exceptions. LHN1-WT method is the second outperformer on LesMiserables and Netscience datasets.
发表于 2025-3-23 09:15:14 | 显示全部楼层
,Recommendation System and Its Techniques in Machine Learning: A Survey,ducts to them, thus increasing revenue. This paper seeks to clarify the idea of the recommendation systems built upon, the many methods used to create these systems and the necessity of using these systems in the current and future environments.
 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, 2025-5-18 12:38
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