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Cricketing Insights Unveiled: Python-Based Information Extraction from IPL
Published 2024-12-01Subjects: Get full text
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A Spatiotemporal Graph Transformer Network for real-time ball trajectory monitoring and prediction in dynamic sports environments
Published 2025-04-01Subjects: Get full text
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Real-Time Football Match Prediction Platform
Published 2025-01-01“…The integration of real-time data into sports analytics has significantly enhanced the accuracy of football match predictions, which is vital for team management, tactical planning, and commercial applications *such as sports betting. …”
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Human Activity Recognition Using Graph Structures and Deep Neural Networks
Published 2024-12-01“…Human activity recognition (HAR) systems are essential in healthcare, surveillance, and sports analytics, enabling automated movement analysis. …”
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Multiple Machine Learning Algorithms-based NBA Team Playoffs Prediction
Published 2025-01-01“…The research demonstrates the power of machine learning in improving prediction accuracy, providing insights for future sports analytics, and offering a foundation for integrating more complex data like player metrics or strategic factors. …”
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An integrated dataset of spatiotemporal and event data in elite soccer
Published 2025-02-01“…This dataset supports the validation of existing analytical techniques and facilitates the development of new methodologies in sports analytics. With availability under CC-BY 4.0, it promotes transparency, reproducibility, and the idea of open science in match analysis research.…”
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Prediction of Outcomes in Sports Under Probability in Kigezi Region.
Published 2024“…The study objectives were to identify the effect of poor prediction of sports results on the coaches and the entire team and to find out the role of Probability in Sports Analytics. The study used purposive and random sampling in selecting respondents. …”
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Transformer-Based Multi-Player Tracking and Skill Recognition Framework for Volleyball Analytics
Published 2025-01-01“…The integration of advanced computing technologies has opened new avenues in sports analytics, enabling data-driven methods for performance monitoring and strategy development. …”
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Graph Convolutional Networks for multi-modal robotic martial arts leg pose recognition
Published 2025-01-01“…IntroductionAccurate recognition of martial arts leg poses is essential for applications in sports analytics, rehabilitation, and human-computer interaction. …”
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“Play by play”: A dataset of handball and basketball game situations in a standardized spaceZenodo
Published 2025-02-01“…We refer to this standardized coordinate space as the 'unified space'.The dataset holds significant potential for reuse in various domains related to sports analytics and machine learning research. It can serve as a valuable resource for researchers, coaches, and sports enthusiasts, contributing to improvements in player performance, game strategies, match retransmissions, and sports-related technologies.…”
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