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: Deep Learning in Data Analytics; Recent Techniques, P Debi Prasanna Acharjya,Anirban Mitra,Noor Zaman Book 2022 Springer Nature Switzerland

[复制链接]
楼主: BROOD
发表于 2025-3-23 12:30:05 | 显示全部楼层
发表于 2025-3-23 15:40:15 | 显示全部楼层
Automatic Image Segmentation by Ranking Based SVM in Convolutional Neural Network on Diabetic Fundus stage, a deep ranking support vector machine (SVM) is used to define a consistent feature label, which will be served as input to a CNN. It reduces the number of channels in the following CNN and allows it to converge on extended detailed segmentation of the optic discs and vessels. In order to gai
发表于 2025-3-23 18:46:28 | 显示全部楼层
A Predictive Data Analytic Approach to Get Insight of Healthcare Databasesed in an increased life span of patients with genetic disabilities. Thus, the affected persons can now live up to a higher age. The current study aimed to discover hidden patterns from congenital heart databases for future medical diagnosis using a clustering technique to find secret ways. The desig
发表于 2025-3-24 00:00:24 | 显示全部楼层
An Extensive Study of Privacy Preserving Recommendation System Using Collaborative Filteringmation in a side recommender system is the main requirement with the best accuracy. This chapter summarizes all privacy-preserving methods for providing security and privacy to the user’s rating of a particular item.
发表于 2025-3-24 04:26:07 | 显示全部楼层
发表于 2025-3-24 06:46:56 | 显示全部楼层
发表于 2025-3-24 13:31:23 | 显示全部楼层
On the Study of Machine Learning Algorithms Towards Healthcare Applicationstion of machine learning in healthcare may help increase the efficiency of diagnosing disease and be time-saving in predicting the device. In this chapter, the different healthcare sectors and how machine learning is useful in different sectors are looked into.
发表于 2025-3-24 17:28:01 | 显示全部楼层
发表于 2025-3-24 19:32:04 | 显示全部楼层
发表于 2025-3-25 00:19:43 | 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, 2025-5-18 09:08
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