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: Recent Trends in Image Processing and Pattern Recognition; 5th International Co KC Santosh,Ayush Goyal,Satish K Singh Conference proceeding

[复制链接]
查看: 37063|回复: 59
发表于 2025-3-21 20:07:50 | 显示全部楼层 |阅读模式
书目名称Recent Trends in Image Processing and Pattern Recognition
副标题5th International Co
编辑KC Santosh,Ayush Goyal,Satish K Singh
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Recent Trends in Image Processing and Pattern Recognition; 5th International Co KC Santosh,Ayush Goyal,Satish K Singh Conference proceeding
描述This book constitutes the refereed proceedings of the 5th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2022, held in Kingsville, TX, USA, in collaboration with the Applied AI Research Laboratory of the University of South Dakota, during December 01-02, 2022..The 31 full papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: healthcare: medical imaging and informatics; computer vision and pattern recognition; internet of things and security; and signal processing and machine learning..
出版日期Conference proceedings 2023
关键词artificial intelligence; classification methods; computer security; computer vision; correlation analysi
版次1
doihttps://doi.org/10.1007/978-3-031-23599-3
isbn_softcover978-3-031-23598-6
isbn_ebook978-3-031-23599-3Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

书目名称Recent Trends in Image Processing and Pattern Recognition影响因子(影响力)




书目名称Recent Trends in Image Processing and Pattern Recognition影响因子(影响力)学科排名




书目名称Recent Trends in Image Processing and Pattern Recognition网络公开度




书目名称Recent Trends in Image Processing and Pattern Recognition网络公开度学科排名




书目名称Recent Trends in Image Processing and Pattern Recognition被引频次




书目名称Recent Trends in Image Processing and Pattern Recognition被引频次学科排名




书目名称Recent Trends in Image Processing and Pattern Recognition年度引用




书目名称Recent Trends in Image Processing and Pattern Recognition年度引用学科排名




书目名称Recent Trends in Image Processing and Pattern Recognition读者反馈




书目名称Recent Trends in Image Processing and Pattern Recognition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

 

0票 0.00%

Good and Satisfactory

 

1票 100.00%

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 21:03:13 | 显示全部楼层
发表于 2025-3-22 03:21:53 | 显示全部楼层
Data Characterization for Reliable AI in Medicinetly patient care. However, these algorithms are highly impacted by the characteristics of the underlying data. In this work, we discuss various data characteristics, namely ., and . that impact the design, reliability, and evolution of machine learning in medical computer vision. Further, we discuss
发表于 2025-3-22 05:50:01 | 显示全部楼层
Alzheimer’s Disease Detection Using Ensemble Learning and Artificial Neural Networksr and widely used open access series of imaging studies (OASIS) dataset for Alzheimer’s disease (AD) detection. The proposed work performs an in-depth feature examination and a training-test split in a 70 : 30 ratio on the dataset and applies 8 different ML algorithms. The AD detection outcome is ob
发表于 2025-3-22 10:19:23 | 显示全部楼层
发表于 2025-3-22 13:40:12 | 显示全部楼层
Significant CC400 Functional Brain Parcellations Based LeNet5 Convolutional Neural Network for Autisare getting benefit from these advancements and one of these areas is medical imaging. Despite rapid advancements in machine learning based medical condition diagnosis systems (CADs), some ailments and disorders are hard to diagnose/classify due to the absence or the lack of consensus on biomarkers
发表于 2025-3-22 20:48:05 | 显示全部楼层
发表于 2025-3-22 23:44:57 | 显示全部楼层
Analyzing Chest X-Ray to Detect the Evidence of Lung Abnormality Due to Infectious Diseasearge effect on almost every facet of life. As COVID-19 was a disease only discovered in recent history, there is comparatively little data on the disease, how it is detected, and how it is cured. Deep learning is a powerful tool that can be used to learn to classify information in ways that humans m
发表于 2025-3-23 04:58:21 | 显示全部楼层
发表于 2025-3-23 06:24:42 | 显示全部楼层
A Novel Approach to Enhance Effectiveness of Image Segmentation Techniques on Extremely Noisy Medicantation. In this study, I have subjected medical images from LiTS - Liver Tumour Segmentation Challenge, which are extremely noisy, to various image segmentation techniques belonging to fully automatic and semi-automatic categories. These varied techniques implement different approaches towards imag
 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, 2025-6-13 16:48
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