Suchergebnisse - Big data

Schaugaard, B. T., Hinkle, L. J, Davidson, G., Mortensen, B. B., Johnson, A. W. “… METHODS: Preexisting ultrasound images and data from 133 Div. 1 college football players (Ht 189 ± 6.1 cm; Wt 105 ± 19.8 kg) were analyzed for PDI intensity using a previously validated clinical scale of 0-5.  …”

Hacking, T. K., Wilwand, M., Johnson, A. W., Mortensen, B. B. “… The average max force exerted from the right and left leg from 3 trials was recorded for data analysis. RESULTS: Overall, we noted a weak correlation between players BW and their max eccentric HS (r = 0.34, p = <0.0008, Force: 451.6 ± 83.5 N).  …”

D. Memmert “… Durch die Integration von Big Data können Spielergebnisse, Fitnessparameter und individuelle Leistungen eingehend analysiert werden, was zu neuen Entwicklungen in der Forschung führt.  …”

Wilwand, M., Sponbeck, J., Allen, S. P., Snow, G., Hunter, I., Johnson, A. W. “… The study included NCAA Division I AF players aged 18 and older who were active on the roster and not injured at the time of data collection. Positions were grouped as follows: the combo group (linebackers and tight ends), the big group (offensive and defensive linemen), and the skill group (defensive backs, kickers, wide receivers, quarterbacks, and running backs).  …”

Karcher, C., Font, R., Marcos-Jorquera, D., Gilart-Iglesias, V., Manchado, C. “… Auswertung externer Belastungsreaktionen auf kumulative Spielzeit und Position bei der Handball-Europameisterschaft der Frauen 2022 durch einen IoT- und Big-Data-Architekturansatz …”

Gibson, J. H., Bingham, G. E., Merrigan, J. J., Taber, C. B. “… Abstract Objectives: This study examined the personality traits of weightlifting coaches of various competitive levels. The Big Five personality traits have been used in a wide variety of populations and settings throughout the world.  …”

Manchado, C., Tortosa-Martinez, J., Marcos-Jorquera, D., Gilart-Iglesias, V., Pueo, B., Chirosa-Rios, L. J. “… Überwachung der externen Belastung während des realen Wettkampfs bei männlichen Handballspielern durch Big-Data-Analytik: Unterschiede nach Spielpositionen …”

Scott, G. A., Bezodis, N. E., Bennett, M., Church, S., Waldron, M., Kilduff, L. P., Brown, M. R. “… Wie siegreiche Teams im Rugby Union erfolgreich kicken: Ein Big-Data-Ansatz …”

Holzer, D., Hummel, C., Paternoster, F. K., Stöcker, F., Thiele, F. “… A marker-based approach (MB) is widely used to obtain kinematic data in weightlifting [1]. Yet, it is not suitable for in field activities such as competitions.  …”

Cartón-Llorente, A., Lozano, D., Iglisias, V. G., Jorquera, D. M., Manchado, C. “… Worst-Case-Szenario-Analyse der körperlichen Beanspruchung von Elite-Handballspielern nach Spielposition durch Big-Data-Analytik …”

Dodt, M., Fasold, F., Memmert, D. “… This study, therefore, examines the personality profile of amateur handball referees (n = 582) for the first time using the German version of the Big Five Inventory 2 (BFI-2). Current data from German handball referees at the expert level and the German general population were used to compare and discuss the results.  …”

Venzke, J., Schäfer, R., Niederer, D., Manchado, C., Platen, P. “… During 65 matches of the EURO 2020, local positioning system data (Kinexon Precision Technologies) were collected (16.6 Hz), yielding 1853 datasets.  …”

U. Fehr, V. Werner “… Sports Innovation: Smart Equipment and Wearable Technology " Session Informations- und Feedbacksysteme " Sport-Informationssysteme - Review verschiedener Produkte basierend auf einem sportinformatischen Architekturkonzept " Effiziente Suche und Bewertung von Szenen in Spielsportarten " Überprüfung zeitlicher und räumlicher Genauigkeit im Trampolinturnen Validierung einer Web-Applikation zum Fern-Monitoring von Belastungs- und Erholungsparametern " Einsatzmöglichkeiten und Transfer von Künstlicher Intelligenz im internationalen Spitzensport - zwischen Small und Big Data " Einsatz von Künstlicher Intelligenz im internationalen Spitzensport - Eine Erhebung des Status Quo " Darstellung von Informationen im Bereich des Peripheren Sehens bei Sportlern/innen " Session Messtechnik und Datenanalyse 1 " Eignet sich OpenPose zur 3-D-Analyse im Leistungssport?  …”

Kang, Y.-G., Kwak, H.-P. “… Eine Wettkampfanalyse der Handball-Weltmeisterschaft der Frauen mit Big Data: Fokus auf die 5 Top-Teams der Handballweltmeisterschaften 2007-2019 …”

Nallamothu, B. K. “… In this issue of Circulation: Cardiovascular Quality & Outcomes, we publish a Cardiovascular Perspective by the Big Ten Cardiac Registry Steering Committee (CRSC).  …”

David Pifer, N., Huml, M. R. “… Using two-way fixed effects panel regression models to analyze 11 seasons (2007-17) of data for 114 NCAA Division I Football Bowl Subdivision (FBS) programs, this study found support for the Year-Two Effect`s existence, particularly in situations where coaches were replacing a prior coach that had been fired for on-field performance reasons.  …”

Putukian, M., D`Alonzo, B. A., Campbell-McGovern, C. S., Wiebe, D. J. “… Purpose: To describe methods of the Ivy League-Big Ten Epidemiology of Concussion Study and first epidemiologic findings.  …”

Bigsby, K. G., Ohlmann, J. W., Zhao, K. “… Big data …”

Collis, A. “… Big Data …”

Vukosavljevic, J., Kocic, M., Beric, D., Stojic, M. “… That way we obtain objective data of player efficiency. The parameters for the assessment of situational success, according to the rule, are collected during big competitions because they already have established methods for the registration of certain parameters on specific games and during the competition (official statistics IHF or EHF).  …”