We demonstrated an in-depth data analytical process to facilitate the decision-making procedure in track cycling omnium\ud that includes utilization of statistical, machine learning-based, and probabilistic approaches. We considered both interomnium\ud and intra-omnium procedures
Developing expert systems that make use of artificial intelligence (AI) to provide predictive analyt...
Abstract Team pursuit track cycling is a bicycle racing sport held on velodromes and it is part of t...
Team pursuit track cycling is a bicycle racing sport held on velodromes and is part of the Summer Ol...
We demonstrated an in-depth data analytical process to facilitate the decision-making procedure in t...
This article describes the implementation of machine learning techniques that assist cycling experts...
This article describes the utilisation of an unsupervised machine learning technique and statistical...
Abstract. This paper presents work on using Machine Learning ap-proaches for predicting performance ...
This paper presents work on using Machine Learning approaches for predicting performance patterns of...
This paper reports our recent findings on the analysis of riders’ performance patterns in the new (t...
Professional sports are developing towards increasingly scientific training methods with increasing ...
Performance in triathlon is dependent upon factors that include somatotype, physiological capacity, ...
This paper uses a statistical analysis of match sprint outcomes to guide tactical decisions in this ...
The importance of young athletes in the field of professional cycling has sky-rocketed during the pa...
In this thesis, we demonstrate the value that analytics can have in guiding decisions at amateur spo...
Purpose: The purpose of this study is to develop and experimentally test the technology of system-ta...
Developing expert systems that make use of artificial intelligence (AI) to provide predictive analyt...
Abstract Team pursuit track cycling is a bicycle racing sport held on velodromes and it is part of t...
Team pursuit track cycling is a bicycle racing sport held on velodromes and is part of the Summer Ol...
We demonstrated an in-depth data analytical process to facilitate the decision-making procedure in t...
This article describes the implementation of machine learning techniques that assist cycling experts...
This article describes the utilisation of an unsupervised machine learning technique and statistical...
Abstract. This paper presents work on using Machine Learning ap-proaches for predicting performance ...
This paper presents work on using Machine Learning approaches for predicting performance patterns of...
This paper reports our recent findings on the analysis of riders’ performance patterns in the new (t...
Professional sports are developing towards increasingly scientific training methods with increasing ...
Performance in triathlon is dependent upon factors that include somatotype, physiological capacity, ...
This paper uses a statistical analysis of match sprint outcomes to guide tactical decisions in this ...
The importance of young athletes in the field of professional cycling has sky-rocketed during the pa...
In this thesis, we demonstrate the value that analytics can have in guiding decisions at amateur spo...
Purpose: The purpose of this study is to develop and experimentally test the technology of system-ta...
Developing expert systems that make use of artificial intelligence (AI) to provide predictive analyt...
Abstract Team pursuit track cycling is a bicycle racing sport held on velodromes and it is part of t...
Team pursuit track cycling is a bicycle racing sport held on velodromes and is part of the Summer Ol...
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