Titlebook: Machine Learning in Sports; Identifying Potentia Rabiu Muazu Musa,Zahari Taha,Mohamad Razali Abdull Book 2019 The Author(s), under exclusiv

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Psychological Variables in Ascertaining Potential Archers, the possession of certain psychological coping skills, namely coping with adversity, coachability, peaking under pressure, concentration, confidence and achievement motivation, goal setting and mental preparation is non-trivial in the achievement of high archery shooting score. It was also shown th

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Psycho-Fitness Parameters in the Identification of High-Potential Archers,scle strength, core muscle strength, static balance, vertical jump and athletic coping skills, were shown to be able to provide a reasonable clustering of the archers. Moreover, it was established that the coarse variation of the .-NN model yields the better classification of the HPA and LPA.

frozen-shoulder

s, and fatigue resistance. However, modern aerospace applications call for next-generation Al alloys with a stringent combination of properties such as high strength, low density, and excellent environmental stability. In that sense, we studied highly driven Al-Rare-Earth (RE) alloys under far-from-

Obstacle

parsimony

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Rabiu Muazu Musa,Zahari Taha,Anwar P. P. Abdul Majeed,Mohamad Razali Abdullahtion, hydrolyzation, settling, precipitation, and evaporation processes operation, which directly affect energy consumption and alumina quality. Thus, it is necessary to explore one method to conduct physical property prediction for liquor. Based on the Bayer process, the effects of relative factors

vascular

Rabiu Muazu Musa,Zahari Taha,Anwar P. P. Abdul Majeed,Mohamad Razali Abdullah bath temperature. The underlying idea of the framework is to reduce?its computational overhead to allow for very fast simulation?of the dissolved alumina, particle alumina, and bath temperature evolution within aluminium reduction?cells. Two main advances presented in this work: (1) a generic metho

Barter

Rabiu Muazu Musa,Zahari Taha,Anwar P. P. Abdul Majeed,Mohamad Razali Abdullahuminium’s (EGA) strategic ambitions and values of innovation and continuous improvement. In order to build a high performing machine learning model we need to fuel it with a large amount of quality data. Based on an initial survey done to determine our paper consumption within the Potlines, we have

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Rabiu Muazu Musa,Zahari Taha,Anwar P. P. Abdul Majeed,Mohamad Razali Abdullah bath temperature. The underlying idea of the framework is to reduce?its computational overhead to allow for very fast simulation?of the dissolved alumina, particle alumina, and bath temperature evolution within aluminium reduction?cells. Two main advances presented in this work: (1) a generic metho