Suchergebnisse - Big data

Born, D.-P., Stöggl, T., Lorentzen, J., Romann, M., Björklund, G. “… Objectives To evaluate the new age groups of the World Junior Championships in swimming from a scientific perspective, establish benchmarks and performance corridors that predict success at peak performance age and compare performance corridors between men and women and short-, middle-, and long-distance freestyle races. Design Longitudinal big data analysis. Methods In total, 347,186 annual best times of male (n = 3360, 561 ± 177 Swimming Points) and female freestyle swimmers (n = 2570, 553 ± 183 Swimming Points) were collected across all race distances at peak performance age and retrospectively analyzed throughout adolescence.  …”

Cook, G. M., Fletcher, D., Peyrebrun, M. “… The questionnaires assessed perceptions of 12 variables within the Big Five personality traits, the dark triad, and emotional intelligence, and the data was analyzed using three one-way multivariate analysis of variance and follow-up univariate F-tests.  …”

Pettersen, S. D., Aslaksen, P. M., Pettersen, S. A. “… Background: Previous studies shows that elite and high-level athletes possess consistently higher pain tolerance to ischemic and cold pain stimulation compared to recreationally active. However, the data previously obtained within this field is sparse and with low consistency.  …”

Cook, G. M., Fletcher, D., Peyrebrune, M. “… The questionnaires assessed 12 variables within the Big Five personality traits, the dark triad, and emotional intelligence, and the data was analyzed using three one-way multivariate analysis of variance and follow-up univariate F-tests.  …”

Emig, T., Peltonen, J. “… Menschliche Laufleistung aus Big Data der tatsächlichen Welt …”

Xin, Z. W. “… With the correction action in technical movements and new system training programs to increase the speed of the swim, the study has a big breakthrough in the future of the swim team.This study has carried out data analysis of the swimming team of a primary school in Guangzhou and national team of China, so as to study the training program of the most suitable members to improve the performance of the team members of the swimming team.  …”

Hilmkil, A., Ivarsson, O., Johansson, M., Kuylenstierna, D., van Erp, T. “… Big Data …”

Zabala, M., Javaloyes, A., Mateo-March, M. “… Zur Rolle von Trainern, Sportwissenschaft, Powermetern und "Big Data" im professionellen Straßenradsport …”

Hilmkil, A., Ivarsson, O., Johansson, M., Kuylenstierna, D., van Erp, T. “… Big Data …”

de Leeuw, A.-W., Meerhoff, L. A., Knobbe, A. “… Big data …”

Hopker, J., Passfield, L., Faiss, R., Saugy, M. “… The application of `big data` analysis techniques would then enable better insight into the nature of variability of rider training and race performance, provide potential interpretation solutions, and enhance the effectiveness and impact of interventions.  …”

Ferber, R. “… We also know that this goal of extracting and analysing big data via high-performance computing is only possible through a collaborative and international community: one we continue to build. …”

Sha, L., Lucey, P., Morgan, S., Sridharan, S., Pease, D. “… Big Data …”

Sagar Nangare “… Fallstudie zur Nutzung von Cloudcomputing, IoT, Big Data, maschinellem Lernen, DevOps bei der Tour de France …”

Smit, A., Wolbert, F., Hettinga , F. J. “… The SRM Ergometer has a free mode with a gear box and a big flywheel, so requirements 1 and 2 are fulfilled.  …”

Kunitson, V., Port, K., Pedak, K. “… Finswimming is a sport where athlete uses one big monofin to produce propulsion. The purpose of this study was to describe relationship between isokinetic strength of different muscle groups and 100 meters finswimming time.  …”

Lehari, T. “… Fortschritte im Schwimmen durch Big Data …”

Harrison, A. “… Big Data …”

Hill, G. “… Wie die Mannschaft von British Cycling mit Big Data dominierte …”

Langholz, J. B., Westman, G., Karlsteen, M. “… Therefore it would be valuable to find an easily applicable tool to visualize biomechanical data. Feedback to athletes based on scientifically measured variables would then ideally be more efficient and effective.  …”