Esyin Chew; Anwar P. P. Abdul Majeed; Pengcheng Liu; Jon Platts; Hyun Myung; Junmo Kim; Jong-Hwan Kim Springer Verlag, Singapore (2022) Pehmeäkantinen kirja
Anwar P. P. Abdul Majeed; Jessnor Arif Mat-Jizat; Mohd Hasnun Arif Hassan; Zahari Taha; Han Lim Choi; Junmo Kim Springer Verlag, Singapore (2019) Kovakantinen kirja
Anwar P. P. Abdul Majeed; Jessnor Arif Mat-Jizat; Mohd Hasnun Arif Hassan; Zahari Taha; Han Lim Choi; Junmo Kim Springer Verlag, Singapore (2020) Pehmeäkantinen kirja
Anwar P.P. Abdul Majeed; Eng Hwa Yap; Pengcheng Liu; Xiaowei Huang; Anh Nguyen; Wei Chen; Ue-Hwan Kim Springer International Publishing AG (2024) Pehmeäkantinen kirja
Anwar P.P. Abdul Majeed; Eng Hwa Yap; Pengcheng Liu; Xiaowei Huang; Anh Nguyen; Wei Chen; Ue-Hwan Kim Springer International Publishing AG (2024) Pehmeäkantinen kirja
Mohd Azraai Mohd Razman; Anwar P. P. Abdul Majeed; Rabiu Muazu Musa; Zahari Taha; Gian-Antonio Susto; Yukinori Mukai Springer Verlag, Singapore (2020) Pehmeäkantinen kirja
Rabiu Muazu Musa; Anwar P. P. Abdul Majeed; Muhammad Zuhaili Suhaimi; Mohd Azraai Mohd Razman; Mohamad Razali Abdullah; Abu Springer Verlag, Singapore (2021) Pehmeäkantinen kirja
Esyin Chew; Anwar P. P. Abdul Majeed; Pengcheng Liu; Jon Platts; Hyun Myung; Junmo Kim; Jong-Hwan Kim Springer Verlag, Singapore (2021) Kovakantinen kirja
Mohd Hafiz Arzmi; Anwar P. P. Abdul Majeed; Rabiu Muazu Musa; Mohd Azraai Mohd Razman; Hong-Seng Gan; Isma Mohd Khairuddin Springer Verlag, Singapore (2023) Pehmeäkantinen kirja
Muazu Musa Rabiu Muazu Musa; P.P. Abdul Majeed Anwar P.P. Abdul Majeed; Abdullah Mohamad Razali Abdullah Springer Nature B.V. (2022) Pehmeäkantinen kirja
This brief highlights the association of different performance variables that influences archery performance and the employment of different machine learning algorithms in the identification of potential archers. The sport of archery is often associated with a myriad of performance indicators namely bio-physiological, psychological, anthropometric as well as physical fitness. Traditionally, the determination of potential archers is carried out by means of conventional statistical techniques. Nonetheless, such methods often fall short in associating non-linear relationships between the variables. This book explores the notion of machine learning that is capable of mitigating the aforesaid issue. This book is valuable for coaches and managers in identifying potential archers during talent identification programs.
