Comments: The classification of skateboarding tricks by means of the integration of transfer learning models and K-Nearest neighbors

The classification of skateboarding tricks by means of the integration of transfer learning models and K-Nearest neighbors

The skateboarding scene has reached new heights, especially with its first appearance at the now postponed Tokyo Summer Olympic Games. Therefore, owing to the scale of the sport in such competitive games, advanced innovative assessment approaches have increasingly gained due attention by relevant st...

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Bibliographic Details
Main Authors:	Muhammad Nur Aiman, Shapiee, Muhammad Ar Rahim, Ibrahim, Mohd Azraai, Mohd Razman, Muhammad Amirul, Abdullah, Musa, Rabiu Muazu, Noor Azuan, Abu Osman, P.P. Abdul Majeed, Anwar
Format:	Conference or Workshop Item
Language:	English English
Published:	Springer Science and Business Media Deutschland GmbH 2022
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/42251/1/The%20classification%20of%20skateboarding%20tricks%20by%20means.pdf http://umpir.ump.edu.my/id/eprint/42251/2/The%20classification%20of%20skateboarding%20tricks%20by%20means%20of%20the%20integration%20of%20transfer%20learning%20models%20and%20K-Nearest%20neighbors_ABS.pdf http://umpir.ump.edu.my/id/eprint/42251/ https://doi.org/10.1007/978-981-33-4597-3_40
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The classification of skateboarding tricks by means of the integration of transfer learning models and K-Nearest neighbors

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