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: Intelligent Computing Theories and Application; 16th International C De-Shuang Huang,Vitoantonio Bevilacqua,Abir Hussai Conference proceedi

[复制链接]
查看: 17453|回复: 55
发表于 2025-3-21 18:22:17 | 显示全部楼层 |阅读模式
书目名称Intelligent Computing Theories and Application
副标题16th International C
编辑De-Shuang Huang,Vitoantonio Bevilacqua,Abir Hussai
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Intelligent Computing Theories and Application; 16th International C De-Shuang Huang,Vitoantonio Bevilacqua,Abir Hussai Conference proceedi
描述.This two-volume set of LNCS 12463 and LNCS 12464 constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020. The 162 full papers of the three proceedings volumes were carefully reviewed and selected from 457 submissions...The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” Papers related to this theme are especially solicited, addressing theories, methodologies, and applications in science and technology..
出版日期Conference proceedings 2020
关键词supervised learning; unsupervised learning; reinforcement learning; semi-supervised learning; data minin
版次1
doihttps://doi.org/10.1007/978-3-030-60799-9
isbn_softcover978-3-030-60798-2
isbn_ebook978-3-030-60799-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

书目名称Intelligent Computing Theories and Application影响因子(影响力)




书目名称Intelligent Computing Theories and Application影响因子(影响力)学科排名




书目名称Intelligent Computing Theories and Application网络公开度




书目名称Intelligent Computing Theories and Application网络公开度学科排名




书目名称Intelligent Computing Theories and Application被引频次




书目名称Intelligent Computing Theories and Application被引频次学科排名




书目名称Intelligent Computing Theories and Application年度引用




书目名称Intelligent Computing Theories and Application年度引用学科排名




书目名称Intelligent Computing Theories and Application读者反馈




书目名称Intelligent Computing Theories and Application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 21:15:59 | 显示全部楼层
Identification of Cell Types from Single-Cell Transcriptomes Using a Novel Clustering Frameworks or tissues. Usually the clustering method is the main computing tool for this purpose. In particular, due to the noise and high dimensional limitations of scRNA-seq data, it poses great challenges to clustering. To overcome this challenges, researchers have developed many protocols for detecting c
发表于 2025-3-22 02:40:32 | 显示全部楼层
发表于 2025-3-22 07:12:26 | 显示全部楼层
A Modified Bacterial Foraging Optimizer with Adaptive Chemotactic Step in Dynamic Search Regionrld optimization problems. However, BFO easily encounters the issue of poor convergence when dealing with complex landscapes of optimization problems due to its inherent fixed chemotactic strategy. Aiming at the above issue, an adaptive bacterial foraging optimizer is presented in this paper, which
发表于 2025-3-22 11:38:42 | 显示全部楼层
发表于 2025-3-22 14:43:28 | 显示全部楼层
发表于 2025-3-22 18:36:44 | 显示全部楼层
Essential Proteins Identification Based on Integrated Networkting approaches have been employed to identify essential proteins. Many of these methods usually consider the topological structure of the protein-protein interaction network (PPIN). However, the fact that the PPIN includes many false negative interactions is ignored. In this paper, an integrated PP
发表于 2025-3-22 21:36:11 | 显示全部楼层
发表于 2025-3-23 05:09:13 | 显示全部楼层
发表于 2025-3-23 09:15:55 | 显示全部楼层
A Cognitive Model of Morphological Neural Networker, primary layer, growth layer and presentation layer. Through the study of MNN at different levels, the cognitive function and mechanism of MNN are profoundly revealed, and the theoretical framework of MNN cognition is established. This paper can be seen as an example of multi-disciplinary crossov
 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 10:39
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