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: Advances in Smart Vehicular Technology, Transportation, Communication and Applications; Proceedings of VTCA Tsu-Yang Wu,Shaoquan Ni,Margar

[复制链接]
楼主: Johnson
发表于 2025-3-23 12:34:18 | 显示全部楼层
Vorbereitungen für den Ernstfallast month, the corresponding data sets are constructed, and then the data are trained using the recurrent neural network model GRU to derive the passenger flow prediction results for the following week.
发表于 2025-3-23 15:17:43 | 显示全部楼层
发表于 2025-3-23 18:54:49 | 显示全部楼层
发表于 2025-3-24 00:09:48 | 显示全部楼层
https://doi.org/10.1007/978-3-319-99954-8system’s optimization efficiency from multi-dimensional economic perspectives with its feasibility and efficacy solution. The validation results show that the proposed scheme has more convergence speed and robustness than the other comparative methods.
发表于 2025-3-24 06:06:44 | 显示全部楼层
Katarzyna Borowska,Jarosław Stepaniukintenance of unmanned vehicle formation in the leader-slave mode with a single leader. This method can provide a low-cost and high-reliability cooperative control scheme for large-scale unmanned vehicle formation performance.
发表于 2025-3-24 10:21:11 | 显示全部楼层
Multi-constraints Face Detect-Track Systemning set of the sample, and then use the K Nearest Neighbor (KNN) algorithm for feature classification. In the optimization process, we use a threshold (.) for feature identification to select useful features. Finally, the 9 standard test data sets in UCI are used to verify the effectiveness of the QUATRE algorithm.
发表于 2025-3-24 11:08:16 | 显示全部楼层
发表于 2025-3-24 18:29:38 | 显示全部楼层
Research on Dynamic Passenger Flow Distribution of Rail Transit Based on Multi-dimensional Euclideanstination) data to obtain section passenger flow data. The result of dynamic passenger flow allocation can provide basic data for the passenger flow forecasting module on the one hand, and provide certain guidance for the planning and designing of rail transit on the other hand.
发表于 2025-3-24 22:40:27 | 显示全部楼层
发表于 2025-3-25 03:04:08 | 显示全部楼层
An Enhanced Flower Pollination Algorithm for Power System Economic Load Dispatchsystem’s optimization efficiency from multi-dimensional economic perspectives with its feasibility and efficacy solution. The validation results show that the proposed scheme has more convergence speed and robustness than the other comparative methods.
 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, 2025-5-7 13:07
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