找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 17th EAI Internation Honghao Gao,Xinheng Wang Conference proceedings 202

[復(fù)制鏈接]
樓主: HAND
41#
發(fā)表于 2025-3-28 16:12:27 | 只看該作者
Optimal Control and?Reinforcement Learning for Robot: A Surveylopment of reinforcement learning and optimal control has become an impetus of engineering, which has show large potentials on automation. Currently, the optimization applications on robot are facing challenges caused by model bias, high dimensional systems, and computational complexity. To solve th
42#
發(fā)表于 2025-3-28 22:35:50 | 只看該作者
43#
發(fā)表于 2025-3-29 01:29:20 | 只看該作者
Recommendation Model Based on Social Homogeneity Factor and Social Influence Factorsider the social homogeneity factor between users and do not consider the social influence factor. To make the recommendation model more in line with the real-life situation, this paper proposes a novel graph attention network to model the homogeneity effect and the influence effect in the user doma
44#
發(fā)表于 2025-3-29 05:07:26 | 只看該作者
Attention Based Spatial-Temporal Graph Convolutional Networks for?RSU Communication Load Forecastinghicular Ad-hoc Networks (VANETs). However, because of peak hour communication demands in VANETs and limited energy storage, it is necessary for RSU to adjust their participation in communication according to the requirements and allocate energy reasonably to balance the workload. Firstly, tidal traf
45#
發(fā)表于 2025-3-29 08:37:49 | 只看該作者
Mobile Encrypted Traffic Classification Based on?Message Type Inferenceation confidentiality and prevent privacy leakage. These cryptographic protocols make it difficult to classify encrypted traffic for network management and intrusion detection. Existing mobile encrypted traffic classification approaches intend to alleviate this problem for TLS 1.2 encrypted traffic
46#
發(fā)表于 2025-3-29 12:05:50 | 只看該作者
47#
發(fā)表于 2025-3-29 16:20:07 | 只看該作者
Underwater Information Sensing Method Based on Improved Dual-Coupled Duffing Oscillator Under Lévy Nsent, most interference models for underwater information sensing tasks under substantial interference choose Gaussian noise models. However, it often contains a strong impact and does not conform to the Gaussian distribution. Moreover, in the current research on the sensing of underwater unknown fr
48#
發(fā)表于 2025-3-29 19:57:37 | 只看該作者
49#
發(fā)表于 2025-3-30 03:35:12 | 只看該作者
50#
發(fā)表于 2025-3-30 07:37:53 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-20 23:45
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
贵德县| 南川市| 临泽县| 剑河县| 横山县| 南投市| 高安市| 驻马店市| 会昌县| 玉龙| 兴山县| 阿拉善左旗| 府谷县| 大石桥市| 卓尼县| 扎鲁特旗| 林西县| 拜城县| 株洲县| 关岭| 赞皇县| 炎陵县| 河源市| 敦煌市| 屏南县| 辉南县| 商城县| 和政县| 且末县| 林口县| 临澧县| 吉水县| 樟树市| 新泰市| 衡阳县| 庆云县| 静安区| 太湖县| 抚州市| 康平县| 文水县|