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: Advances in Data-Driven Computing and Intelligent Systems; Selected Papers from Swagatam Das,Snehanshu Saha,Jagdish Chand Bansal Conference

[复制链接]
查看: 32961|回复: 63
发表于 2025-3-21 18:07:48 | 显示全部楼层 |阅读模式
期刊全称Advances in Data-Driven Computing and Intelligent Systems
期刊简称Selected Papers from
影响因子2023Swagatam Das,Snehanshu Saha,Jagdish Chand Bansal
视频video
发行地址Presents research papers on data-driven computing and intelligent systems.Results of ADCIS 2022 held at BITS Pilani, K K Birla Goa Campus, Goa, India.Serves as a reference for researchers and practiti
学科分类Lecture Notes in Networks and Systems
图书封面Titlebook: Advances in Data-Driven Computing and Intelligent Systems; Selected Papers from Swagatam Das,Snehanshu Saha,Jagdish Chand Bansal Conference
影响因子The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.
Pindex Conference proceedings 2023
The information of publication is updating

书目名称Advances in Data-Driven Computing and Intelligent Systems影响因子(影响力)




书目名称Advances in Data-Driven Computing and Intelligent Systems影响因子(影响力)学科排名




书目名称Advances in Data-Driven Computing and Intelligent Systems网络公开度




书目名称Advances in Data-Driven Computing and Intelligent Systems网络公开度学科排名




书目名称Advances in Data-Driven Computing and Intelligent Systems被引频次




书目名称Advances in Data-Driven Computing and Intelligent Systems被引频次学科排名




书目名称Advances in Data-Driven Computing and Intelligent Systems年度引用




书目名称Advances in Data-Driven Computing and Intelligent Systems年度引用学科排名




书目名称Advances in Data-Driven Computing and Intelligent Systems读者反馈




书目名称Advances in Data-Driven Computing and Intelligent Systems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 21:57:36 | 显示全部楼层
发表于 2025-3-22 01:09:36 | 显示全部楼层
https://doi.org/10.1007/b108480zed using recently developed meta-heuristic equilibrium optimizer algorithm (EOA). The simulation results demonstrate that proposed technique outperformed in various noisy environments of additive white Gaussian noise (AWGN) from − 10 to 10 dB. Furthermore, the mean-square-error ., maximum-error .,
发表于 2025-3-22 06:06:27 | 显示全部楼层
发表于 2025-3-22 09:48:11 | 显示全部楼层
https://doi.org/10.1007/b108480 OSN services to stay connected with each other for social interactions, business opportunities, entertainment, and career. The open nature and popularity of OSN have resulted in a number of frauds and misappropriations. Online Social Network Fraud (OSNF) is a growing threat in cyberspace through OS
发表于 2025-3-22 16:58:16 | 显示全部楼层
https://doi.org/10.1007/b108480ctional conventional buck–boost topology to exchange power between the electrical vehicles (EVs) and power grid. A comparative analysis between PI and fuzzy logic controllers of the system is presented. In the prior stage, a peak voltage of 325 V, 50 Hz AC supply is converted to DC and boosted up to
发表于 2025-3-22 20:47:54 | 显示全部楼层
https://doi.org/10.1007/b108480s computer vision applications as well. ResNet is known for its skip connections or residual connection that solves the vanishing gradient problem using deeper architectures. Most researchers have used the traditional skip connection method in their various works. However, the pattern of these resid
发表于 2025-3-22 22:02:02 | 显示全部楼层
发表于 2025-3-23 03:02:17 | 显示全部楼层
发表于 2025-3-23 07:43:41 | 显示全部楼层
The Probable Causes of the Fear of Dying, CT screening has shown to be beneficial in detecting lung cancer in its early stages, when it manifests as pulmonary nodules. Low-Dose Computed Tomography (LDCT) scanning has proven to improve the accuracy of detecting the lung nodules and categorizing during early stages, lowering the death rate.
 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, 2025-5-17 20:16
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