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: Artificial Intelligence in Sports, Movement, and Health; Carlo Dindorf,Eva Bartaguiz,Michael Fr?hlich Book 2024 The Editor(s) (if applicab

[復(fù)制鏈接]
查看: 54290|回復(fù): 50
樓主
發(fā)表于 2025-3-21 17:20:58 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Intelligence in Sports, Movement, and Health
影響因子2023Carlo Dindorf,Eva Bartaguiz,Michael Fr?hlich
視頻videohttp://file.papertrans.cn/168/167602/167602.mp4
發(fā)行地址Explore how cutting-edge AI for sports enhances training, performance analysis, and strategic decision-making.Discover how AI improves injury prevention and promotes overall health management.Uncover
圖書封面Titlebook: Artificial Intelligence in Sports, Movement, and Health;  Carlo Dindorf,Eva Bartaguiz,Michael Fr?hlich Book 2024 The Editor(s) (if applicab
影響因子.This comprehensive work explores Artificial Intelligence′s profound impact on revolutionizing how we approach sports, movement, and health. It presents a rich collection of insights, practical applications, and perspectives poised to transform these domains. Therefore, leading experts in the fields were brought together, offering diverse perspectives and applications across various disciplines. Through the examination of real-world use cases and future possibilities, this book empowers readers with knowledge, enhancing the understanding of the transformative potential of AI in sports, movement, and health..
Pindex Book 2024
The information of publication is updating

書目名稱Artificial Intelligence in Sports, Movement, and Health影響因子(影響力)




書目名稱Artificial Intelligence in Sports, Movement, and Health影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence in Sports, Movement, and Health網(wǎng)絡(luò)公開度




書目名稱Artificial Intelligence in Sports, Movement, and Health網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Intelligence in Sports, Movement, and Health被引頻次




書目名稱Artificial Intelligence in Sports, Movement, and Health被引頻次學(xué)科排名




書目名稱Artificial Intelligence in Sports, Movement, and Health年度引用




書目名稱Artificial Intelligence in Sports, Movement, and Health年度引用學(xué)科排名




書目名稱Artificial Intelligence in Sports, Movement, and Health讀者反饋




書目名稱Artificial Intelligence in Sports, Movement, and Health讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:12:16 | 只看該作者
Advancing Endurance Sports with Artificial Intelligence: Application-Focused Perspectives refinement. In a professional context, where personalized training has long been the norm, the value lies in AI‘s capacity to identify weaknesses, providing insights that may surpass traditional coaching methods. This new type of intelligent data analysis can support the coach and the athlete in th
板凳
發(fā)表于 2025-3-22 00:38:01 | 只看該作者
Sensors, Internet of Things and Artificial Intelligence for the Diagnosis and Prevention of Falls antisfactory, current AI-based approaches do not address the identification of dedicated fall risk factors in a way that would allow a precise response through specific exercise intervention. Future research should focus on interpretable AI-based concepts that provide a deeper insight into the individ
地板
發(fā)表于 2025-3-22 06:58:59 | 只看該作者
Artificial Intelligence for Sport Injury Predictiones the unique advantages offered by AI-based analyses, and discusses challenges when attempting to utilise AI for injury prediction. Overall, the use of AI for sport injury prediction offers a fascinating opportunity. It may one day create a revolution in the field, improving not only prediction its
5#
發(fā)表于 2025-3-22 10:47:48 | 只看該作者
Generative Artificial Intelligence in Anti-doping Analysis in Sportssuccessfully generate synthetic samples that closely resembled real samples, indicating its potential for augmenting datasets used in doping detection. This approach not only enhances the robustness of indirect methods of doping detection by providing a larger dataset for analysis but also addresses
6#
發(fā)表于 2025-3-22 16:27:46 | 只看該作者
Transferring Lessons Learned from Uncertainty-Aware Visual Analytics in Clinical Data to Predictive sociated with ML predictions in sports. Drawing upon the knowledge acquired from uncertainty-aware visualization in clinical data, we can lay the groundwork for more resilient and informed applications of ML in the sporting domain.
7#
發(fā)表于 2025-3-22 20:45:22 | 只看該作者
8#
發(fā)表于 2025-3-22 22:32:45 | 只看該作者
9#
發(fā)表于 2025-3-23 04:30:40 | 只看該作者
Artificial Intelligence in Sports, Movement, and Health
10#
發(fā)表于 2025-3-23 06:59:48 | 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, 2025-10-8 18:54
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
林甸县| 鹰潭市| 呼图壁县| 昔阳县| 永济市| 梁河县| 沙雅县| 锦州市| 防城港市| 汝南县| 游戏| 黄冈市| 日喀则市| 凌源市| 元阳县| 巴林右旗| 高邑县| 东山县| 浦江县| 宜都市| 彰化县| 即墨市| 金堂县| 雅安市| 台北县| 杨浦区| 延津县| 文昌市| 肥城市| 怀化市| 内江市| 凤凰县| 五河县| 卓资县| 孝感市| 安庆市| 墨竹工卡县| 海林市| 澎湖县| 德令哈市| 乌拉特前旗|