Relevant bibliographies by topics / Sport analytics

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Sport analytics'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Sport analytics"

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Cho, Minseok, Michael Cottingham, Billy Hawkins, and Don Lee. "Sport Analytics Business: Exploring Fan Engagement on Analytical Content." IJASS(International Journal of Applied Sports Sciences) 35, no. 2 (2023): 201–14. http://dx.doi.org/10.24985/ijass.2023.35.2.201.

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With the emerging trend of technological advancement in sport media production, sport analytics has provided fan-oriented game contents through multimedia platforms. This study aims to empirically investigate sport fans’ perceptions toward sport analytics contents (i.e., statistics, video, data visualization, decision-aid) by exploring their impact on fan engagement (i.e., information, entertainment, personal identity, social interaction) and employing the uses and gratifications theory. Using multiple regressions, this study found that sport fans are more likely to consume statistics and vide
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Szymanski, Stefan. "Sport Analytics: Science or Alchemy?" Kinesiology Review 9, no. 1 (2020): 57–63. http://dx.doi.org/10.1123/kr.2019-0066.

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Sport analytics promises to use Big Data and sophisticated statistical methods to identify effective strategies in sports—“the Moneyball moment.” However, much like alchemy, sport analytics is characterized by opacity and secrecy, and outside of baseball, evidence of success that would meet the usual scientific criteria is limited. An example is used to demonstrate that quite simple models can match more complex ones in terms of prediction. Like alchemy, sport analytics can deliver important advances in our understanding, but some problems need to be addressed. These include the need to incorp
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Houtmeyers, Kobe C., Arne Jaspers, and Pedro Figueiredo. "Managing the Training Process in Elite Sports: From Descriptive to Prescriptive Data Analytics." International Journal of Sports Physiology and Performance 16, no. 11 (2021): 1719–23. http://dx.doi.org/10.1123/ijspp.2020-0958.

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Elite sport practitioners increasingly use data to support training process decisions related to athletes’ health and performance. A careful application of data analytics is essential to gain valuable insights and recommendations that can guide decision making. In business organizations, data analytics are developed based on conceptual data analytics frameworks. The translation of such a framework to elite sport may benefit the use of data to support training process decisions. Purpose: The authors aim to present and discuss a conceptual data analytics framework, based on a taxonomy used in bu
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Mumcu, Ceyda, and Gil Fried. "Analytics in Sport Marketing." Sport Management Education Journal 11, no. 2 (2017): 102–5. http://dx.doi.org/10.1123/smej.2016-0019.

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Özgüven, Yavuz, Utku Gönener, and Süleyman Eken. "A Dockerized big data architecture for sports analytics." Computer Science and Information Systems, no. 00 (2022): 10. http://dx.doi.org/10.2298/csis220118010o.

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The big data revolution has had an impact on sports analytics as well. Many large corporations have begun to see the financial benefits of integrating sports analytics with big data. When we rely on central processing systems to aggregate and analyze large amounts of sport data from many sources, we compromise the accuracy and timeliness of the data. As a response to these issues, distributed systems come to the rescue, and the MapReduce paradigm holds promise for large scale data analytics. We describe a big data architecture based on Docker containers with Apache Spark in this paper. We eval
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Wanless, Liz A., and Michael Naraine. "Sport Analytics Education for Future Executives, Managers, and Nontechnical Personnel." Sport Management Education Journal 15, no. 1 (2021): 34–40. http://dx.doi.org/10.1123/smej.2019-0070.

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Successfully adopting sport business analytics to enhance organization-wide business processes necessitates a combination of business acumen, modeling expertise, personnel coordination, and organizational support. Although the development of technical skills has been well mapped in analytics curricula, informing future leadership and affiliated nontechnical personnel about the sport business analytics process, specifically, remains a gap in sport management curricula. This acknowledgment should compel sport management programs to explore strategies for sport analytics training geared toward th
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de la Torre, Rocio, Laura O. Calvet, David Lopez-Lopez, Angel A. Juan, and Sara Hatami. "Business Analytics in Sport Talent Acquisition." International Journal of Business Analytics 9, no. 1 (2022): 1–20. http://dx.doi.org/10.4018/ijban.290406.

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Recruitment of young talented players is a critical activity for most professional teams in different sports such as football, soccer, basketball, baseball, cycling, etc. In the past, the selection of the most promising players was done just by relying on the experts’ opinion, but without a systematic data support. Nowadays, the existence of large amounts of data and powerful analytical tools have raised the interest in making informed decisions based on data analysis and data-driven methods. Hence, most professional clubs are integrating data scientists to support managers with data-intensive
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Watanabe, Nicholas M., Stephen Shapiro, and Joris Drayer. "Big Data and Analytics in Sport Management." Journal of Sport Management 35, no. 3 (2021): 197–202. http://dx.doi.org/10.1123/jsm.2021-0067.

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Big data and analytics have become an essential component of organizational operations. The ability to collect and interpret significantly large data sets has provided a wealth of knowledge to guide decision makers in all facets of society. This is no different in sport management where big data has been used on and off the field to guide decision making across the industry. As big data evolves, there are concerns regarding the use of enhanced analytic techniques and their advancement of knowledge and theory. This special issue addresses these concerns by advancing our understanding of the use
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Stuart, Morgan. "Computer Science in Sport – Research and Practice: A book review." International Journal of Computer Science in Sport 15, no. 1 (2016): 59–63. http://dx.doi.org/10.1515/ijcss-2016-0004.

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Abstract Sports informatics and computer science in sport are perhaps the most exciting and fast-moving disciplines across all of sports science. The tremendous parallel growth in digital technology, non-invasive sensor devices, computer vision and machine learning have empowered sports analytics in ways perhaps never seen before. This growth provides great challenges for new entrants and seasoned veterans of sports analytics alike. Keeping pace with new technological innovations requires a thorough and systematic understanding of many diverse topics from computer programming, to database desi
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Fister, Dušan, Iztok Fister, and Iztok Fister Jr. "Deep Analytics in Sport Community Forums." International Journal of Advanced Pervasive and Ubiquitous Computing 10, no. 2 (2018): 18–37. http://dx.doi.org/10.4018/ijapuc.2018040102.

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In recent years, some sport clubs have adopted web forums for online discussions about planning training sessions, races, club problems, sponsors and supporters, equipment and so on. Mostly, these forums are closed, because some discussions about critical information must be permitted only to registered club members. Indeed, various members are connected into a network representing a forum community that participates in forming the internal structure of a club and has taken an increasingly important role in solving the club affairs. This has influenced the classic way of doing business with me
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Dissertations / Theses on the topic "Sport analytics"

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DI, GIACOMO UMBERTO ANTONIO. "Machine learning and formal methods for sport analytics." Doctoral thesis, Università degli studi del Molise, 2022. https://hdl.handle.net/11695/115353.

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L’obiettivo principale del mio periodo di Dottorato riguarda il concetto della Soccer Analytics. Durante gli ultimi anni la Soccer Analytics ha registrato un’enorme diffusione. Di solito, in quest’ambito, i ricercatori si sono concentrati sulla predizione dei risultati delle partite anche se, soprattutto negli ultimi tempi, c’è stata un’attenzione particolare nello studio dei dati posizionali. Il mio periodo di Dottorato può essere diviso in tre parti fondamentali: nella prima parte ho preso in considerazione l’analisi e lo studio delle attività svolte dall’uomo; nella seconda parte, mi sono
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Stein, Manuel [Verfasser]. "Visual Analytics for Cooperative and Competitive Behavior in Team Sports / Manuel Stein." Konstanz : KOPS Universität Konstanz, 2020. http://d-nb.info/1206878460/34.

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Gullikson, Joey. "Strong Side, Weak Side: Goal Generating Tactics in NCAA Men's Water Polo." Scholarly Commons, 2019. https://scholarlycommons.pacific.edu/uop_etds/3618.

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In the game of water polo, it is generally accepted that the shooting position of the offensive player and the tactic employed are both important in generating goals. Despite their importance, little is known about the relationship between shooting position and offensive tactics and their impact on the probability of goal scoring. In this research, a sequence of hierarchical mixed logistic regression models is applied to a unique data set from 2016 and 2017 NCAA men’s water polo seasons to analyze the relationship between goal generating tactics and different shooting positions. The primary re
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D'Ambrosio, Luca. "Football Analytics: Predizione del ricevitore e della zona di passaggio mediante tecniche di Machine Learning." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22985/.

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Il calcio è uno sport di squadra altamente collaborativo. Passare la palla al giocatore giusto è essenziale per vincere una partita, e quindi, anticipare e prevedere le intenzioni del mittente di un passaggio potrebbe arricchire la lista dei cosiddetti “trigger” per l'attivazione o la fine della fase di pressing (collettivo e volto alla sottrazione di soluzioni di gioco dell'avversario) o pressione (individuale e indirizzata al portatore). Il lavoro svolto in questo lavoro di tesi ha lo scopo di analizzare e predire un passaggio, al fine di capire a chi sarà indirizzato. In particolare, sono
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Malqui, José Luis Sotomayor. "A visual analytics approach for passing strateggies analysis in soccer using geometric features." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/158188.

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As estrategias de passes têm sido sempre de interesse para a pesquisa de futebol. Desde os inícios do futebol, os técnicos tem usado olheiros, gravações de vídeo, exercícios de treinamento e feeds de dados para coletar informações sobre as táticas e desempenho dos jogadores. No entanto, a natureza dinâmica das estratégias de passes são bastante complexas para refletir o que está acontecendo dentro do campo e torna difícil o entendimento do jogo. Além disso, existe uma demanda crecente pela deteção de padrões e analise de estrategias de passes popularizado pelo tiki-taka utilizado pelo FC. Barc
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Bourdon, Adrien. "Implantation de pratiques et d'outils d'intelligence d'affaires pour supporter la prise de décision dans le sport compétitif : deux exemples venant du football universitaire." Mémoire, Université de Sherbrooke, 2017. http://hdl.handle.net/11143/10488.

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Depuis les 10 dernières années, l’intelligence d’affaires et l’analytique (IA&A) sont devenues des sujets d’intérêts pour la recherche en systèmes d’information (SI) ainsi que pour les professionnels du domaine. Les initiatives en IA&A ont généré des bénéfices pour de nombreuses organisations dans plusieurs secteurs tels que la finance, les assurances, le divertissement ou encore les communications. Un domaine relativement nouveau où l’IA&A a fait son apparition est le sport compétitif. Les institutions, organisations sportives et athlètes d’élite tentent de mettre à profit l’utilisation des d
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Ekholm, Edwin. "Giving answers or educating? : Evaluation of an automated tracking system and its possibilities to educate game intelligence in Swedish elite football players." Thesis, Gymnastik- och idrottshögskolan, GIH, Institutionen för idrotts- och hälsovetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:gih:diva-6228.

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The aim of the study was to evaluate an automated tracking system and its possibilities to increase knowledge and awareness (future described as educate) in game intelligence among Swedish male elite football players. The study involved both qualitative and quantitative aspects. The quantitative part consisted of observing offensive passes performed by three male players, average age 25.3 (±1.5) years, weight 75.7 (±2.1) kg and height 181 (±4.4) cm. All of the players offensive passes were judged and categorized, based on criteria by the practitioner with footballing knowledge and by the autom
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Mortelier, Alexis. "Οbservatοire de la tactique en (e-)spοrt cοllectif". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMC245.

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Cette thèse explore les dynamiques de jeu et les performances collectives en alternant entre les analyses de sports traditionnels, comme le handball, et des e-sports, tels que DotA2 et OverWatch. L'objectif est de segmenter le processus de traitement des données en plusieurs étapes, chacune apportant une compréhension spécifique. En adoptant une approche comparative entre sport et e-sport, ce travail non seulement distingue les différentes étapes de traitement des données, mais propose également une vue d'ensemble de l'analyse du (e-)sport. La première contribution réside dans le développement
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Nsolo, Edward. "Prediction models for soccer sports analytics." Thesis, Linköpings universitet, Databas och informationsteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-149033.

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In recent times there has been a substantial increase in research interest of soccer due to an increase of availability of soccer statistics data. With the help of data provider firms, access to historical soccer data becomes more simple and as a result data scientists started researching in the field. In this thesis, we develop prediction models that could be applied by data scientists and other soccer stakeholders. As a case study, we run several machine learning algorithms on historical data from five major European leagues and make a comparison. The study is built upon the idea of investig
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Halverson, Paula Dee. "The effects of peer tutoring on sport skill analytic ability /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487331541710629.

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Books on the topic "Sport analytics"

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Fried, Gil, and Ceyda Mumcu, eds. Sport Analytics. Routledge, 2016. http://dx.doi.org/10.4324/9781315619088.

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Harrison, C. Keith, and Scott Bukstein, eds. Sport Business Analytics. Auerbach Publications, 2016. http://dx.doi.org/10.1201/9781315367613.

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Sarangi, Subrat. Methods and Challenges of Using Predictive Analytics in Sport: Winning One-day International Cricket Matches. SAGE Publications Ltd, 2023. http://dx.doi.org/10.4135/9781529628883.

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Mansurali, A., P. Mary Jeyanthi, Dieu Hack-Polay, and Ali B. Mahmoud, eds. Sports Analytics. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63573-1.

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Dong, Jin Song, Masoumeh Izadi, and Zhe Hou, eds. Sports Analytics. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-69073-0.

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Severini, Thomas A. Analytic Methods in Sports. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780367252090.

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John, Cheffers, ed. Research in sport pedagogy: Empirical analytical perspective. Hofmann, 1988.

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Brefeld, Ulf, Jesse Davis, Jan Van Haaren, and Albrecht Zimmermann, eds. Machine Learning and Data Mining for Sports Analytics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-02044-5.

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Brefeld, Ulf, Jesse Davis, Jan Van Haaren, and Albrecht Zimmermann, eds. Machine Learning and Data Mining for Sports Analytics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17274-9.

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Brefeld, Ulf, Jesse Davis, Jan Van Haaren, and Albrecht Zimmermann, eds. Machine Learning and Data Mining for Sports Analytics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64912-8.

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Book chapters on the topic "Sport analytics"

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Onwumechili, Chuka. "Sport analytics." In Sport Communication. Routledge, 2017. http://dx.doi.org/10.4324/9781315270920-23.

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Fromm, Hansjörg. "Sports Analytics." In Digitalisierung und Innovation im Sport und in der Sportwissenschaft. Springer Berlin Heidelberg, 2025. https://doi.org/10.1007/978-3-662-68241-8_7-1.

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Hayduk, Ted. "Business Analytics in Sport Organizations." In The Routledge Handbook of Digital Sport Management. Routledge, 2022. http://dx.doi.org/10.4324/9781003088899-21.

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Ratten, Vanessa, and Petrus Usmanij. "Statistical modelling and sport business analytics." In Statistical Modelling and Sports Business Analytics. Routledge, 2020. http://dx.doi.org/10.4324/9780367854454-1.

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Hayduk, Ted. "The future of sport data analytics." In Statistical Modelling and Sports Business Analytics. Routledge, 2020. http://dx.doi.org/10.4324/9780367854454-14.

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Thukral, Esha, and Vanessa Ratten. "Sport companies using analytics and statistics." In Statistical Modelling and Sports Business Analytics. Routledge, 2020. http://dx.doi.org/10.4324/9780367854454-5.

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Schwarz, Eric C., and Jason D. Hunter. "Using analytics to determine sport marketing success." In Advanced Theory and Practice in Sport Marketing. Routledge, 2017. http://dx.doi.org/10.4324/9781351667630-13.

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Brefeld, Ulf. "Soccer Analytics – Analysing Tracking Data." In 13th World Congress of Performance Analysis of Sport and 13th International Symposium on Computer Science in Sport. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-31772-9_1.

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Ratten, Vanessa, and Geoff Dickson. "Big data and business intelligence in sport." In Statistical Modelling and Sports Business Analytics. Routledge, 2020. http://dx.doi.org/10.4324/9780367854454-3.

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Schwarz, Eric C., Kyle J. Brannigan, Kevin P. Cattani, and Jason D. Hunter. "Research and Analytics-Driven Information Systems." In Advanced Theory and Practice in Sport Marketing, 4th ed. Routledge, 2022. http://dx.doi.org/10.4324/9781003230717-6.

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Conference papers on the topic "Sport analytics"

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Sharma, Madhuri, Vikas Kaushik, Manisha Rathore, Vivit Kumar Yadav, Pallavi Gangwar, and Anto Nibiya. "Utilizing Data Analytics in Sports Performance Optimization." In 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N). IEEE, 2024. https://doi.org/10.1109/icac2n63387.2024.10895017.

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Lin, Hsin-Yu, Jenn-Jier James Lien, and Ya-Ning Chang. "Machine Learning in Sports Analytics: Volleyball Match Outcome Prediction." In 2024 4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). IEEE, 2024. https://doi.org/10.1109/iceccme62383.2024.10796894.

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Wbaid, Saef, Azizov Marufkhuja Ahmatkhonovich, Hilola Pulatova, and Md Afzal. "Artificial Intelligence-Powered Sports Analytics: Enhancing Performance Through Data Science." In 2025 International Conference on Computational Innovations and Engineering Sustainability (ICCIES). IEEE, 2025. https://doi.org/10.1109/iccies63851.2025.11032536.

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Mohana, J., Bharthvajan R, M. Murugesan, Habeeb Omotunde, D. Balaji, and A. Santhi Mary Antony. "An AI-Driven Approach to Real-Time Sports Analytics and Performance Evaluation." In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63760.2024.10910720.

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Arur, Vrushank Mahesh, and Aakash Dhananjay Shanbhag. "Indian Premier League Cricket Match Winner Predictor 2025 : A Sports Analytics Study." In 2024 4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). IEEE, 2024. https://doi.org/10.1109/iceccme62383.2024.10796892.

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Shukla, Tushar Dhar, Divya Nimma, Kiran Sree Pokkuluri, Syed Najmusaqib, K. K. Sivakumar, and B. Kiran Bala. "Utilizing Artificial Intelligence for Enhancing Performance and Preventing Injuries in Sports Analytics." In 2024 International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT). IEEE, 2024. https://doi.org/10.1109/ic-sit63503.2024.10862063.

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Chowdary, Pullela Harish, and Puneet Thapar. "Revolutionizing Sports Analytics: From Hypothesis Testing to Predictive Modeling in the Olympics." In 2024 International Conference on Advances in Computing, Communication and Materials (ICACCM). IEEE, 2024. https://doi.org/10.1109/icaccm61117.2024.11058703.

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M, Blessy Y., Palaniraj Rajidurai Parvathy, Kishore Verma S, B. Sreedevi, S. Jayaprakash, and S. Murugan. "AI and Cloud for Real-Time Evaluation of Sports Injury Severity and Recovery." In 2025 International Conference on Visual Analytics and Data Visualization (ICVADV). IEEE, 2025. https://doi.org/10.1109/icvadv63329.2025.10961478.

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Danilov, Artem, Tobias Gokus, and Andreas J. Huber. "Nanoscale analytics with AFM probe-assisted techniques." In CLEO: Applications and Technology. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.am4a.7.

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Scattering-type Scanning Near-field Optical Microscopy (s-SNOM), nano-FTIR spectroscopy, as well as photothermal expansion-based techniques are scanning probe approaches to achieve nanoscale spatial resolution in the infrared spectral range, bypassing the ubiquitous diffraction limit of light [1,2]. These techniques employ the strong confinement of light at the apex of a sharp metallic atomic force microscopy (AFM) tip to create a nanoscale optical hot-spot. Analyzing the scattered light from the tip, or the deflection of the cantilever upon local photothermal expansion of the sample due to ab
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M, Vaneeta, Kusuma T, Shruthi G, Avanish Rao BS, Nikhil Anand, and Abhishek M. "Data Analytics on Blitz E-sports: Enhancing Gaming Experience through Personalization and Prediction." In 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE). IEEE, 2025. https://doi.org/10.1109/iitcee64140.2025.10915318.

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Reports on the topic "Sport analytics"

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Gangrade, Anidhya. Sports Analytics. Iowa State University, 2023. http://dx.doi.org/10.31274/cc-20240624-1326.

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Jackson, Kendell. Sports Analytics. Iowa State University, 2022. http://dx.doi.org/10.31274/cc-20240624-1325.

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Guess, Connor G. Sports Analytics. Iowa State University, 2023. http://dx.doi.org/10.31274/cc-20240624-1324.

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Cassity, Elizabeth, Jennie Chainey, and Debbie Wong. Teacher development multi-year study series. Timor-Leste: Final report. Australian Council for Educational Research, 2023. http://dx.doi.org/10.37517/978-1-74286-673-4.

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The Australian Government is supporting the Government of Timor-Leste in education through the Partnership for Human Development (PHD) and Apoiu Lideransa liuhosi Mentoria no Apredizajen (ALMA). ALMA supports the Ministry of Education, Youth and Sport (MoEYS) to develop teacher professional learning, particularly in support of its major reform of rolling out and implementing the National Basic Education Curriculum (new curriculum) across schools in Timor-Leste. Under the Teacher Development Multi-Year Study for Timor-Leste (the Study), the Education Analytics Service (EAS) is investigating how
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Bishop, Megan, Jay Clausen, Samuel Beal, and Patrick Sims. Comparison of the quantitation of heavy metals in soil using handheld LIBS, XRFS, and ICP-OES. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47182.

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Handheld laser-induced breakdown spectroscopy (LIBS) is an emerging analytical technique that shows the potential to replace X-ray fluorescence spectroscopy (XRFS) in the field characterization of soils containing heavy metals. This study explored the accuracy and precision of handheld LIBS for analyzing soils containing copper and zinc to support LIBS as a re-placement for XRFS technology in situ. Success was defined by handheld LIBS results that could be replicated across field analyzers and verified by inductively coupled plasma–optical emission spectrometry (ICP-OES). A total of 108 soil s
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Tumwasorn, Somying, Ajcharaporn Sawatpanich, Nibondh Udomsantisuk, and Kamon Kawkitinarong. Development of test kit for detection of rifampin resistance in mycobacterium tuberculosis by PCR-reverse line blot hybridization. Faculty of Medicine, Chulalongkorn University, 2006. https://doi.org/10.58837/chula.res.2006.25.

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A genetic test by PCR-reverse line blot hybridization was developed for rapid detection of mycobacterium tuberculosis and rifampin resistance simultaneously. Duplex PCR targeting IS 6110 and rpoB gene was employed to detect M. tuberculosis and the rpoB fragment with rifampin resistance hot spot region. The analytical sensitivity of duplex PCR for IS 6110 and rpoB gene was found to be 10 and 100fg of M.Tuberculosis H37Rv DNA, respectively. Since duplex PCR was specific to M. tuberculosis complex, it was thus able to be applied directly in clinical specimens. Oligonucleotide probes were designed
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7

Trends of Radicalisation: Iraq/3.2 Research Report. Glasgow Caledonian University, 2025. https://doi.org/10.59019/a3gabp69.

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Iraq is one of the countries most exposed to instability and lack of security, due to many reasons which are the fragility and weakness of the state that leads to many hot spots of extremism and terrorism. These foci exist in ethnically or religiously homogeneous and heterogeneous societies, which we will discuss in this report. Moreover, the difference in the geography of these regions is one of the reasons. The importance of the report about Iraq lies in the fact that this country is one of the first ranks in extremism and terrorism, so it must be highlighted and promised as a model in the s
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