This chapter highlights the relationship of psycho-fitness variables towards the recognition of HPA and LPA. The variables, namely hand grip, upper muscle 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 k-NN model yields the better classification of the HPA and LPA
Title: Influence of psychological states to sport performance in achery Purpose: Main aim is classif...
Objective: to determine the impact of special precision-target exercises on the level and structure ...
Support Vector Machine (SVM) has been revealed to be a powerful learning algorithm for classificatio...
This chapter assesses the association of a selection of anthropometry parameters in identifying HPA ...
The present study aims to explore different physical characteristics towards a successful performanc...
The present study aims at classifying and predicting high and low potential archers from a collectio...
The present chapter measured the association of archery performance in relation to bio-physiological...
The utilisation of artificial intelligence for prediction and classification in the sport of archery...
k-nearest neighbour (k-NN) has been shown to be an effective learning algorithm for classification a...
Previous studies on the psychological aspect of archery are rather limited. The current study invest...
Background: Archery is a close skill sport in which the archer interacts with body and equipment. Th...
k-nearest neighbour (k-NN) has been shown to be an effective learning algorithm for classification a...
The present study classified and predicted high and low potential archers from a set of bio-physiolo...
This chapter provides the general conclusion of the present brief. The limitations, practical implic...
The present study employs a machine learning algorithm namely support vector machine (SVM) to classi...
Title: Influence of psychological states to sport performance in achery Purpose: Main aim is classif...
Objective: to determine the impact of special precision-target exercises on the level and structure ...
Support Vector Machine (SVM) has been revealed to be a powerful learning algorithm for classificatio...
This chapter assesses the association of a selection of anthropometry parameters in identifying HPA ...
The present study aims to explore different physical characteristics towards a successful performanc...
The present study aims at classifying and predicting high and low potential archers from a collectio...
The present chapter measured the association of archery performance in relation to bio-physiological...
The utilisation of artificial intelligence for prediction and classification in the sport of archery...
k-nearest neighbour (k-NN) has been shown to be an effective learning algorithm for classification a...
Previous studies on the psychological aspect of archery are rather limited. The current study invest...
Background: Archery is a close skill sport in which the archer interacts with body and equipment. Th...
k-nearest neighbour (k-NN) has been shown to be an effective learning algorithm for classification a...
The present study classified and predicted high and low potential archers from a set of bio-physiolo...
This chapter provides the general conclusion of the present brief. The limitations, practical implic...
The present study employs a machine learning algorithm namely support vector machine (SVM) to classi...
Title: Influence of psychological states to sport performance in achery Purpose: Main aim is classif...
Objective: to determine the impact of special precision-target exercises on the level and structure ...
Support Vector Machine (SVM) has been revealed to be a powerful learning algorithm for classificatio...