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: Swarm, Evolutionary, and Memetic Computing; 6th International Co Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suga Conference proceedings

[复制链接]
楼主: 司法权
发表于 2025-3-27 00:27:36 | 显示全部楼层
Region Based Multiple Features for an Effective Content Based Access Medical Image Retrieval an Int Feedback mechanism. The efficiency of the proposed method has been evaluated by using a huge data base by employing multiple features and integrating with Relevance feedback approach. Correspondingly, the Recall Rate has been enormously enhanced and Error Rate has been reduced as compared to the existing classical retrieval methods.
发表于 2025-3-27 04:41:05 | 显示全部楼层
An Improved Quantum Inspired Immune Clone Optimization Algorithm,e. The proposed algorithm is tested on few benchmark optimization functions and the results are compared with other existing algorithms. The simulation results show that the proposed algorithm has better convergence, robustness and precision.
发表于 2025-3-27 05:23:03 | 显示全部楼层
Particle Swarm Optimization for the Deployment of Directional Sensors,ered in the region. The main aim is to identify the optimal/near optimal deployment locations of the directional sensor nodes such that the coverage is maximized. We use Particle Swarm Optimization (PSO) algorithm to compute the deployment locations of the nodes. The experimental results reveal that PSO is a promising method to solve this problem.
发表于 2025-3-27 11:07:33 | 显示全部楼层
发表于 2025-3-27 17:41:41 | 显示全部楼层
发表于 2025-3-27 18:33:50 | 显示全部楼层
发表于 2025-3-27 22:46:30 | 显示全部楼层
Cohort Intelligence and Genetic Algorithm Along with AHP to Recommend an Ice Cream to a Diabetic Paelection, crossover and mutation strategies. The analytical hierarchy process (AHP) is used to conceptualize complex problems. The recently developed Cohort Intelligence (CI) algorithm models behavior of individuals within the group. The research for recommending an ice cream to a diabetic patient w
发表于 2025-3-28 04:39:06 | 显示全部楼层
发表于 2025-3-28 08:46:43 | 显示全部楼层
发表于 2025-3-28 10:32:13 | 显示全部楼层
Development of Back Propagation Neural Network (BPNN) Model to Predict Combustion Parameters of Diext, control of design, as well as operating parameters for better performance are focused in the present work. Experiments are done on a 4-s, variable compression ratio (VCR) diesel engine and the required data is collected by varying fuel injection timing (IJT), compression ratio (CR), load and fue
 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, 2025-6-7 17:18
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