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Titlebook: Sports Analytics; Data-Driven Sports a A Mansurali,P. Mary Jeyanthi,Ali B. Mahmoud Book 2024 The Editor(s) (if applicable) and The Author(s

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樓主: 民俗學(xué)
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發(fā)表于 2025-3-23 10:10:17 | 只看該作者
Enhancing Player Experience Through AI-Powered Wireless Sensor Networks: A KNN Algorithm Approach fdaily activities and sports engagements. While existing systems have shown promise, they often must capture the intricacies of players’ movements and actions, leading to incomplete insights and suboptimal performance optimization. This study presents a novel approach leveraging the K-nearest neighbo
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發(fā)表于 2025-3-23 17:31:56 | 只看該作者
Predicting Indian Super League (ISL) Soccer Player Positions Using Personal and Performance Attribusion-making processes, with a specific focus on the Indian Super League (ISL). Through the strategic deployment of multinomial logistic regression, support vector machines, random forest, and ensemble methods, the research unfolds a comprehensive analysis, aiming to predict player positions and anti
13#
發(fā)表于 2025-3-23 21:53:15 | 只看該作者
Sports Marketing Analytics: Digital Evolution in Shaping the Sports Industry,entertainment and action. Digital technology and client happiness have additionally evolved to support and facilitate sports industry. Teams that succeed in modern sports employ analytics mostly for two primary purposes. Firstly, the teams can increase their connection and interaction with their con
14#
發(fā)表于 2025-3-23 23:06:58 | 只看該作者
Book 2024er of data-driven insights. From the nail-biting moments on the field to the strategic decisions behind the scenes, this comprehensive guide unveils the secrets that propel teams to victory and champions to greatness.It explores the cutting-edge techniques and methodologies that revolutionize the wa
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發(fā)表于 2025-3-24 04:38:11 | 只看該作者
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發(fā)表于 2025-3-24 09:09:53 | 只看該作者
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發(fā)表于 2025-3-24 11:49:37 | 只看該作者
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發(fā)表于 2025-3-24 16:49:26 | 只看該作者
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發(fā)表于 2025-3-24 21:16:05 | 只看該作者
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發(fā)表于 2025-3-24 23:22:03 | 只看該作者
S. Binthu Mathavan,A. PraveenAttenuation 13 b. Reflection of sound 13 c. Near and far field 13 3. Scanning and recording techniques 15 a. Example of depth sonar 15 b. A-scan and Time-Motion recording 17 c. Single element 8-scan techniques 17 4. The Doppler effect 17 CHAPTER III PRESENT APPLICATIONS IN CARDIOLOGY 19 1. General r
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