Prediction and Performance Assessment in Woman Handball Athletes by Employing Machine Learning Methods-Reference-Cited by-同舟云学术

Prediction and Performance Assessment in Woman Handball Athletes by Employing Machine Learning Methods

Published:2022 Issue: Volume: Page:51-60
ISSN:2191-6853
Container-title:Advanced Technologies and Societal Change
language:
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Author:

Vivek Kolla^ORCID,Harikiran J.,Suresh Babu Kunda,Anil Carie Ch.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-4044-6_6

Reference18 articles.

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2. Gomez-Lopez, M., Manzano-Sanchez, D., Merino-Barrero, J.A., Valero-Valenzuela, A.: Causes of success in handball through the beliefs about ability. RevistaInternacional de Medicina y Ciencias de la ActividadFisica y del Deporte. 20(77) (2020)

3. Popa, D., Mindrescu, V., Iconomescu, T.M., Talaghir, L.G.: Mindfulness and self-regulation strategies predict performance of romanian handball players. Sustainability 12(9), 3667 (2020)

4. Hermassi, S., Souhaiel, C.M., Fieseler, G., Schulze, S., Irlenbusch, L., Delank, K.S., Schwesig, R., Hoffmeyer, B.: Validity of new handball agility test: association with specific skills and muscular explosive determinants of lower limbs in young handball players. DRASSA J. Developm. Res. Sport Sci. Activities. 3(1), 79–103 (2017)

5. Sekulic, D., Foretic, N., Gilic, B., Esco, M.R., Hammami, R., Uljevic, O., Versic, S., Spasic, M.: Importance of agility performance in professional futsal players; reliability and applicability of newly developed testing protocols. Int. J. Environ. Res. Public Health 16(18), 3246 (2019)