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 Technologies for Interactive Entertainment; 14th EAI Internation Martin Clayton,Mauro Passacantando,Marcello Sangui Conference

[复制链接]
楼主: 从未迷惑
发表于 2025-3-26 21:15:44 | 显示全部楼层
发表于 2025-3-27 04:39:35 | 显示全部楼层
Conference proceedings 2024N 2023 which was held in Lucca, Italy, during November 27, 2023..The 15 full papers presented in this book were selected from 56 submissions. They present novel and innovative work in areas of methods (machine learning, movement), computer-based systems (architectures, software, algorithms), and dev
发表于 2025-3-27 05:22:14 | 显示全部楼层
Artificial Intelligence in Video Games 101: An Easy Introductionh and video game AI. In summary, this paper delivers a solid but easy-to-understand introductory guide to this interesting and long-running research and industrial field without sacrificing mathematical formalism but not going into every detail, as the most industry-used books and academic references will be provided.
发表于 2025-3-27 12:45:22 | 显示全部楼层
发表于 2025-3-27 13:44:22 | 显示全部楼层
1867-8211 ), and devices (digital cameras, smartphones).. The papers are grouped in sessions of thematic issues on Games and Game-Based learning; Motion Capture; Sports and Competitions; and Interfaces and Applications..978-3-031-55721-7978-3-031-55722-4Series ISSN 1867-8211 Series E-ISSN 1867-822X
发表于 2025-3-27 19:34:00 | 显示全部楼层
发表于 2025-3-28 00:57:10 | 显示全部楼层
Advancing Multi-actor Graph Convolutions for Skeleton-Based Action Recognitionlicate diverse human data to fill and interlink multiple subgraphs. Empirically, our proposed methods applied to the NTU RGB+D 120 dataset significantly enhanced the performance of the base model MSG3D, demonstrating the effectiveness of our approach in handling multi-actor scenarios.
发表于 2025-3-28 02:51:45 | 显示全部楼层
发表于 2025-3-28 09:11:02 | 显示全部楼层
发表于 2025-3-28 14:04:10 | 显示全部楼层
A PLS-SEM Approach for Composite Indicators: An Original Application on the Expected Goal Modelr sample balanced techniques. Results seem to be interesting in terms of sensitivity, F1 and AUC metrics, compared with a benchmark. In addition, some original performance composites and tracking variables introduced are significant for the classification model.
 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, 2025-5-20 18:55
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