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Ball classification through object detection using deep learning for handball

Dynamic gameplay, fast-paced and fast-changing gameplay, where angle shooting (top and bottom corner) has the best chance of a good goal, are the main aspects of handball. When it comes to the narrow-angle area, the goalkeeper has trouble blocked the goal. Therefore, this research discusses image pr...

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書誌詳細
主要な著者:	Arzielah Ashiqin, Alwi, Ahmad Najmuddin, Ibrahim, Muhammad Nur Aiman, Shapiee, Muhammad Ar Rahim, Ibrahim, Mohd Azraai, Mohd Razman, Ismail, Mohd Khairuddin
フォーマット:	論文
言語:	English
出版事項:	Penerbit UMP 2020
主題:	T Technology (General)
オンライン･アクセス:	http://umpir.ump.edu.my/id/eprint/33637/1/Ball%20classification%20through%20object%20detection%20using%20deep%20learning.pdf http://umpir.ump.edu.my/id/eprint/33637/ https://doi.org/10.15282/mekatronika.v2i2.6751 https://doi.org/10.15282/mekatronika.v2i2.6751
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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