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awesome-computational-intelligence-in-sports
A collection of literature on the use of computational intelligence methods in sports
https://github.com/firefly-cpp/awesome-computational-intelligence-in-sports
Last synced: 1 day ago
JSON representation
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Research papers ๐ฌ
- Individualized physiology-based digital twin model for sports performance prediction: a reinterpretation of the MargariaโMorton model - 024-56042-0](https://doi.org/10.1038/s41598-024-56042-0).
- DTCoach: your digital twin coach on the edge during COVID-19 and beyond - 28, doi:[10.1109/MIM.2021.9513635](https://doi.org/10.1109/MIM.2021.9513635).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Topology-Based Generation of Sport Training Sessions - 020-02048-1](https://doi.org/10.1007/s12652-020-02048-1).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- Individualized physiology-based digital twin model for sports performance prediction: a reinterpretation of the MargariaโMorton model - 024-56042-0](https://doi.org/10.1038/s41598-024-56042-0).
- Individualized physiology-based digital twin model for sports performance prediction: a reinterpretation of the MargariaโMorton model - 024-56042-0](https://doi.org/10.1038/s41598-024-56042-0).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Topology-Based Generation of Sport Training Sessions - 020-02048-1](https://doi.org/10.1007/s12652-020-02048-1).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Topology-Based Generation of Sport Training Sessions - 020-02048-1](https://doi.org/10.1007/s12652-020-02048-1).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- Individualized physiology-based digital twin model for sports performance prediction: a reinterpretation of the MargariaโMorton model - 024-56042-0](https://doi.org/10.1038/s41598-024-56042-0).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Topology-Based Generation of Sport Training Sessions - 020-02048-1](https://doi.org/10.1007/s12652-020-02048-1).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- Individualized physiology-based digital twin model for sports performance prediction: a reinterpretation of the MargariaโMorton model - 024-56042-0](https://doi.org/10.1038/s41598-024-56042-0).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Individualized physiology-based digital twin model for sports performance prediction: a reinterpretation of the MargariaโMorton model - 024-56042-0](https://doi.org/10.1038/s41598-024-56042-0).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Topology-Based Generation of Sport Training Sessions - 020-02048-1](https://doi.org/10.1007/s12652-020-02048-1).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- Topology-Based Generation of Sport Training Sessions - 020-02048-1](https://doi.org/10.1007/s12652-020-02048-1).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
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- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
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- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- New Perspectives in the Development of the Artificial Sport Trainer
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- A Feature-Weighting Approach Using Metaheuristic Algorithms to Evaluate the Performance of Handball Goalkeepers
- Design and Implementation of Concurrent Optimization Schemes for Sports Health Prediction Platform
- Contextualizing Evaluation of Performance in Volleyball: Introducing Contextual Individual Contribution Coefficients to Assess Technical Actions
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- Visualization and Analysis of Spatial Characteristics of Attacks in Field Hockey
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- Intelligent Strategy of Internet of Things Computing in Badminton Sports Activities
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- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Topology-Based Generation of Sport Training Sessions - 020-02048-1](https://doi.org/10.1007/s12652-020-02048-1).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Topology-Based Generation of Sport Training Sessions - 020-02048-1](https://doi.org/10.1007/s12652-020-02048-1).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Topology-Based Generation of Sport Training Sessions - 020-02048-1](https://doi.org/10.1007/s12652-020-02048-1).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Topology-Based Generation of Sport Training Sessions - 020-02048-1](https://doi.org/10.1007/s12652-020-02048-1).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Topology-Based Generation of Sport Training Sessions - 020-02048-1](https://doi.org/10.1007/s12652-020-02048-1).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Topology-Based Generation of Sport Training Sessions - 020-02048-1](https://doi.org/10.1007/s12652-020-02048-1).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- Individualized physiology-based digital twin model for sports performance prediction: a reinterpretation of the MargariaโMorton model - 024-56042-0](https://doi.org/10.1038/s41598-024-56042-0).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- Individualized physiology-based digital twin model for sports performance prediction: a reinterpretation of the MargariaโMorton model - 024-56042-0](https://doi.org/10.1038/s41598-024-56042-0).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Topology-Based Generation of Sport Training Sessions - 020-02048-1](https://doi.org/10.1007/s12652-020-02048-1).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Topology-Based Generation of Sport Training Sessions - 020-02048-1](https://doi.org/10.1007/s12652-020-02048-1).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Individualized physiology-based digital twin model for sports performance prediction: a reinterpretation of the MargariaโMorton model - 024-56042-0](https://doi.org/10.1038/s41598-024-56042-0).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
- Individualized physiology-based digital twin model for sports performance prediction: a reinterpretation of the MargariaโMorton model - 024-56042-0](https://doi.org/10.1038/s41598-024-56042-0).
- Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees - 3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).
- A Decision Tree-Based Smart Fitness Framework in IoT - 021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).
- Synthetic Data Augmentation of Cycling Sport Training Datasets - 3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).
- The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training - 3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).
- Adaptation of Sport Training Plans by Swarm Intelligence - 3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).
- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence - 3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).
- Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking - 3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).
- Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization - 023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).
- An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition - 019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).
- Development of a Personalized Diet Using Structural Optimization - Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43โ52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).
- Discovering the Influence of Interruptions in Cycling Training: A Data Science Study - 3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).
- Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory - FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312โ24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).
- Designing an E-Coach to Tailor Training Plans for Road Cyclists - 3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).
- Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners - Adapted Interaction, Springer, Aug. 2021, pp. 1โ52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).
- Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx - 021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).
- Quantum Photonics Advancements Enhancing Health and Sports Performance.โ Optical and Quantum Electronics - 023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).
- Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens - 981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).
- A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric - 022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).
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Dissertation or thesis ๐
- Digital Twin Coaching for Edge Computing Using Deep Learning Based 2D Pose Estimation - 26229](http://dx.doi.org/10.20381/ruor-26229).
- Towards Standardized Digital Twins for Health, Sport, and Well-being - 23746](http://dx.doi.org/10.20381/ruor-23746).
- Predicting Cycling Performance Using Machine Learning
- Automated Generation of Training Programs for Swimmers Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees
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Datasets ๐
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Soccer โฝ๏ธ
- A public data set of spatio-temporal match events in soccer competitions - 15.
- A public data set of spatio-temporal match events in soccer competitions - 15.
- A public data set of spatio-temporal match events in soccer competitions - 15.
- A public data set of spatio-temporal match events in soccer competitions - 15.
- A public data set of spatio-temporal match events in soccer competitions - 15.
- A public data set of spatio-temporal match events in soccer competitions - 15.
- A public data set of spatio-temporal match events in soccer competitions - 15.
- Data concerning isometric lower limb strength of dominant versus not-dominant leg in young elite soccer players
- A public data set of spatio-temporal match events in soccer competitions - 15.
- Data concerning the effect of plyometric training on jump performance in soccer players: A meta-analysis - 334.
- A public data set of spatio-temporal match events in soccer competitions - 15.
- A public data set of spatio-temporal match events in soccer competitions - 15.
- A public data set of spatio-temporal match events in soccer competitions - 15.
- A public data set of spatio-temporal match events in soccer competitions - 15.
- A public data set of spatio-temporal match events in soccer competitions - 15.
- A public data set of spatio-temporal match events in soccer competitions - 15.
- A public data set of spatio-temporal match events in soccer competitions - 15.
- A public data set of spatio-temporal match events in soccer competitions - 15.
- A public data set of spatio-temporal match events in soccer competitions - 15.
- A public data set of spatio-temporal match events in soccer competitions - 15.
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Basketball ๐
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Cycling ๐ฒ
- A collection of sport activity datasets for data analysis and data mining 2017a
- A collection of sport activity datasets with an emphasis on powermeter data
- Neo4j Graph Dataset of Cycling Paths in Slovenia
- A collection of sport activity files for data analysis and data mining 2016a
- A collection of sport activity datasets for data analysis and data mining 2016b
- A collection of sport activity files for data analysis and data mining
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Track and field ๐โ
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Triathlon ๐ฅ
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Wrestling ๐คผโโ๏ธ
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Perspectives ๐ฐ
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Books ๐
- Computational Intelligence for Movement Sciences - 1-59140-836-9](https://doi.org/10.4018/978-1-59140-836-9).
- Computational intelligence in sports - Hiot Soon Ong, vol. 22, Springer International Publishing, 2019, doi:[10.1007/978-3-030-03490-0](https://doi.org/10.1007/978-3-030-03490-0).
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Review papers ๐
- Artificial intelligence for team sports: a survey
- Data Mining in Sports: A Systematic Review
- Computational Intelligence in Sports: A Systematic Literature Review - Computer Interaction, vol. 2018, Hindawi Limited, Oct. 2018, pp. 1โ13, doi:[10.1155/2018/3426178](https://doi.org/10.1155/2018/3426178).
- The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review
- Beyond Hard Workout: A Multimodal Framework for Personalised Running Training with Immersive Technologies
- Application of Internet of Things and Artificial Intelligence for Smart Fitness: A Survey
- Computational Intelligence in Sports: Challenges and Opportunities within a New Research Domain
- Assessing Human Motion During Exercise Using Machine Learning: A Literature Review
- The Application and Impact of Artificial Intelligence on Sports Performance Improvement: A Systematic Literature Review
- Computational Intelligence in Gait Research: A Perspective on Current Applications and Future Challenges
- Unlocking the Potential: A Comprehensive Meta-Synthesis of Internet of Things in the Sports Industry
- Literature Review on the Relationship between Artificial Intelligence Technologies with Digital Sports Marketing and Sports Management
- A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training
- Human Digital Twin, the Development and Impact on Design
- Evolution of Sport Wearable Global Navigation Satellite Systemsโ Receivers: A Look at the Garmin Forerunner Series
- The Collection, Analysis and Exploitation of Footballer Attributes: A Systematic Review - 200554](https://doi.org/10.3233/JSA-200554).
- Physical Performance Estimation in Practice: A Systematic Review of Advancements in Performance Prediction and Modeling in Cycling
- Artificial intelligence for team sports: a survey
- The Use of Immersive Technologies in Karate Training: A Scoping Review
- Digital Twin Coaching for Physical Activities: A Survey
- A systematic review on human modeling: Digging into human digital twin implementations
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Tutorials ๐
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Software ๐ป
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Wrestling ๐คผโโ๏ธ
- gpx - Process GPX Files into R Data Structures.
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Cite us
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Wrestling ๐คผโโ๏ธ
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Categories