Search Results - "mathematic-logical model"
-
1
-
2
Early specialization in formative basketball: A machine learning analysis of shooting patterns in U14 and professional players
Contreras-García, J. M., Courel-Ibáñez, J., Piñar-López, M. I., Ibáñez, S. J.Published in Journal of Sports Sciences (2024)“…mathematic-logical model…”
-
3
Prediction of talent selection in elite male youth soccer across 7 seasons: A machine-learning approach
Altmann, S., Ruf, L., Thiem, S., Beckmann, T., Wohak, O., Romeike, C., Härtel, S.Published in Journal of Sports Sciences (2024)“…mathematic-logical model…”
-
4
"There is more that unites us than divides us". Optimizing talent transfer processes by clustering 34 sports by their task, individual and environmental similarities
Teunissen, J. W., De Bock, J., Schasfoort, D., Slembrouck, M., Verstockt, S., Lenoir, M., Pion, J.Published in Frontiers in Sports and Active Living (2024)“…mathematic-logical model…”
-
5
Classification of recovery states in U15, U17, and U19 sub-elite football players: a machine learning approach
Teixeira, J. E., Encarnação, S., Branquinho, L., Ferraz, R., Portella, D. L., Monteiro, D., Morgans, R., Barbosa, T. M., Monteiro, A. M., Forte, P.Published in Frontiers in Psychology (2024)“…mathematic-logical model…”
-
6
School-age talent identification in female handball by a mathematical model: Equation proposed from anthropometry, maturity offset, fitness, and technical field-tests
Caporal, G., Gaya, A. C. A., Pedretti, A., Mello, J. B.Published in Research Quarterly for Exercise and Sport (2024)“…mathematic-logical model…”
-
7
Physical fitness and motor ability parameters as predictors for skateboarding performance: A logistic regression modelling analysis
Ab Rasid, A. M., Muazu Musa, R., Abdul Majeed, A. P., Musawi Maliki, A. B. H., Abdullah, M. R., Mohd Razmaan, M. A., Abu Osman, N. A.Published in PLOS ONE (2024)“…mathematic-logical model…”
-
8
Gold score athletics: talent detection model for track and field
van Keulen, G. E., Werneck, F. Z., Coelho, E. F., Aguiar, C. M., Miranda, L., de Lima, J. R. P.Published in Revista Brasileira de Medicina do Esporte (2023)“…mathematic-logical model…”
-
9
Predicting 6000m performance time in junior rowers using a 500m indoor rowing test
da Silva, L. F., de Almeida-Neto, P. F., Gama, D., Miarka, B., Aidar, F. J., dos Santos Silva, T., Sabido, V., Neto, R. B., Slimani, M., Dantas, P. M. S., de Araujo Tinoco Cabral, B. G.Published in Preprints (2023)“…mathematic-logical model…”
-
10
Peak Height Velocity affects injury burden in circa-PHV soccer players
Monasterio, X., Gil, S., Bidaurrazaga-Letona, I., Lekue, J. A., Diaz-Beitia, G., Santisteban, J. M., Lee, D.-J., Zumeta-Olaskoaga, L., Martin-Garetxana, I., Larruskain, J.Published in International Journal of Sports Medicine (2023)“…mathematic-logical model…”
-
11
Prediction of aerobic and anaerobic capacity from selected oxidative stress parameters, muscle damage indices and inflammatory markers in soccer and hockey players
Sarkar, S., Kr Dey, S., Datta, G., Bandyopadhyay, A.Published in Polish Journal of Sport and Tourism (2023)“…mathematic-logical model…”
-
12
Validity and reliability of new equations for the prediction of maximal oxygen uptake in male and female elite adolescent rowers
Cherouveim, E. D., Methenitis, S. K., Simeonidis, T., Georginis, P., Tsekouras, Y. E., Biskitzi, C., Tsolakis, C., Koulouvaris, P.Published in Journal of Human Kinetics (2022)“…mathematic-logical model…”
-
13
Importance of anthropometric features to predict physical performance in elite youth soccer: a machine learning approach
Bongiovanni, T., Trecroci, A., Cavaggioni, L., Rossi, A., Perri, E., Pasta, G., Iaia, F. M., Alberti, G.Published in Research in Sports Medicine (2021)“…mathematic-logical model…”
-
14
Mathematical models to identify high-performance players for the Brazilian under-19 men`s volleyball team
Schons, P., Berriel, G. P., Preissler, A. A. B., Caporal, G. C., Costa, R. R., da Silva, L. C. R., Kruel, L. F. M.Published in Journal of Sports Sciences (2022)“…mathematic-logical model…”
-
15
Framework for intelligent swimming analytics with wearable sensors for stroke classification
Costa, J., Silva, C., Santos, M., Fernandes, T., Faria, S.Published in Sensors (2021)“…mathematic-logical model…”
-
16
-
17
Predicting youth athlete sleep quality and the development of a translational tool to inform practitioner decision making
Suppiah, H. T., Swinbourne, R., Wee, J., He, Q., Pion, J., Driller, M. W., Gastin, P. B., Carey, D. L.Published in Sports Health: A Multidisciplinary Approach (2022)“…mathematic-logical model…”
-
18
Descriptive and kinetic analysis of two different vertical jump tests among youth and adolescent male basketball athletes using a supervised machine learning approach
Gillett, J., De Witt, J., Stahl, C. A., Martinez, D., Dawes, J. J.Published in The Journal of Strength and Conditioning Research (2021)“…mathematic-logical model…”
-
19
Nutzung multikriterieller und unscharfer (FUZZY-)Analysen zum Talentscreening im Sport (Use of multi-criteria and fuzzy (FUZZY) analyses for talent screening in sport)
Ester, J., Zinner, J., Utesch, T., Büsch, D.Published in Informatik-Spektrum (2020)“…mathematic-logical model…”
-
20
The application of Artificial Neural Network and k-Nearest Neighbour classification models in the scouting of high-performance archers from a selected fitness and motor skill perfo...
Muazu Musa, R., Abdul Majeed, A. P. P., Taha, Z., Abdullah, M. R., Husin Musawi Maliki, A. B., Azura Kosni, N.Published in Science & Sports (2019)“…mathematic-logical model…”