SANJAYKUMAR, S., NATARAJAN, S., LAKSHMI, P. Y., ORHAN, B. E., LOBO, J., GEANTĂ, V., & NÉMETH, Z. (2024). Predictive analytics for identifying most valuable players in the 2024 T20 cricket world cup: A comparative study of support vector regression Kernels. Journal of Physical Education & Sport, 25(10), 1324. https://doi.org/10.7752/jpes.2024.10256
Chicago Style (17th ed.) CitationSANJAYKUMAR, SWAMYNATHAN, SUBHASHREE NATARAJAN, PONNUSAMY YOGA LAKSHMI, BEKIR ERHAN ORHAN, JOSEPH LOBO, VLAD-ADRIAN GEANTĂ, and ZSOLT NÉMETH. "Predictive Analytics for Identifying Most Valuable Players in the 2024 T20 Cricket World Cup: A Comparative Study of Support Vector Regression Kernels." Journal of Physical Education & Sport 25, no. 10 (2024): 1324. https://doi.org/10.7752/jpes.2024.10256.
MLA (9th ed.) CitationSANJAYKUMAR, SWAMYNATHAN, et al. "Predictive Analytics for Identifying Most Valuable Players in the 2024 T20 Cricket World Cup: A Comparative Study of Support Vector Regression Kernels." Journal of Physical Education & Sport, vol. 25, no. 10, 2024, p. 1324, https://doi.org/10.7752/jpes.2024.10256.