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 Sustainable Systems; Proceedings of ICISS Jennifer S. Raj,Ram Palanisamy,Yong Shi Conference proceedings 2022 The Editor(s) (if

[复制链接]
楼主: 可入到
发表于 2025-3-23 09:48:31 | 显示全部楼层
,Impact of Segmentation Techniques for Conditıon Monitorıng of Electrical Equipments from Thermal Imnique is proposed to isolate the Region of Interest. The performance of the proposed technique is compared with that of the conventional segmentation techniques. IACM removes the undesirable regions and is successful in detecting the Region of Interest of any shape and size.
发表于 2025-3-23 17:13:50 | 显示全部楼层
2367-3370 rence resource for researchers and practitioners in academia.This book features research papers presented at the 4th International Conference on Intelligent Sustainable Systems (ICISS 2021), held at SCAD College of Engineering and Technology, Tirunelveli, Tamil Nadu, India, during February 26–27, 20
发表于 2025-3-23 21:24:54 | 显示全部楼层
发表于 2025-3-23 23:26:41 | 显示全部楼层
Performance Evaluation of Hierarchical Clustering Protocols in WSN Using MATLAB,ralized LEACH, SEP, DEEC, and developed DEEC protocols under different scenarios such as change in the sink position and change in the area. We evaluated and compared them on performance metrics such as network lifetime, throughput, and energy consumption.
发表于 2025-3-24 05:27:10 | 显示全部楼层
发表于 2025-3-24 07:29:01 | 显示全部楼层
发表于 2025-3-24 13:05:30 | 显示全部楼层
发表于 2025-3-24 18:30:25 | 显示全部楼层
发表于 2025-3-24 19:18:11 | 显示全部楼层
,Deep Learning-Based Approach for Parkinson’s Disease Detection Using Region of Interest,ed an algorithm to identify the most discriminative range of MRI slices at the subject level to differentiate between Normal Cohorts (NC) and Parkinson’s Disease (PD) subjects. We have also focused on handling data leakage and verified the model generalizability using Stratified k-fold cross-validation.
发表于 2025-3-24 23:11:43 | 显示全部楼层
Deep Learning in Precision Medicine,terdisciplinary domain, healthcare system is now amalgamated with advance AI domains like Deep Learning, Machine Learning, Big Data, etc. The paper summarizes the applications of Deep Learning in several medical sectors and discusses various algorithms adopted by researchers to include the power of Deep Learning in current medical system.
 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 吾爱论文网 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.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-15 19:30
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