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: Machine Learning for Cyber Security; 4th International Co Yuan Xu,Hongyang Yan,Jin Li Conference proceedings 2023 The Editor(s) (if applica

[复制链接]
楼主: Taylor
发表于 2025-3-30 11:19:11 | 显示全部楼层
发表于 2025-3-30 13:30:01 | 显示全部楼层
Path Planning Algorithm Based on A_star Algorithm and Q-Learning Algorithm,search, the path planning problem has greater research and application value. Based on machine learning, the mobile robot is continuously tried and trained in the simulation environment to eventually achieve the optimal path planning requirements for real-time obstacle avoidance, resulting in a new
发表于 2025-3-30 16:38:26 | 显示全部楼层
发表于 2025-3-30 21:59:41 | 显示全部楼层
Local Feature Acquisition Method of Multi-layer Vision Network Image Based on Virtual Reality,various changes such as noise, illumination, scale, and rotation. Faced with this situation, this paper proposes a method for local feature acquisition of multi-layer visual network images based on virtual reality. Based on virtual reality technology, the multi-layer visual network image is reconstr
发表于 2025-3-31 04:56:46 | 显示全部楼层
Channel Selection for EEG Emotion Recognition via an Enhanced Firefly Algorithm with Brightness-Dise and other fields. EEG signal contains a large number of meaningful and extractable features. Therefore, effective feature selection plays an essential role in reducing feature dimensions and avoiding redundancy. In order to select the emotion related features from hundreds of features and achieve
发表于 2025-3-31 05:42:25 | 显示全部楼层
发表于 2025-3-31 11:28:58 | 显示全部楼层
,Trimodal Fusion Network Combined Global-Local Feature Extraction Strategy and Spatial-Frequency Fustions, and lesions. Most of the existing methods focus on the fusion of two modalities, and in fact, it is very common for the disease that requires the fusion of trimodal to assist diagnosis. This paper proposes a high-precision trimodal medical image fusion network. According to the information ch
发表于 2025-3-31 15:32:17 | 显示全部楼层
发表于 2025-3-31 19:20:21 | 显示全部楼层
发表于 2025-4-1 01:07:54 | 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, 2025-5-24 00:39
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