Search Results - Di Credico, A.

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  1. 1

    Longitudinal analysis of body composition in Italian national U17 male handball players using bioelectrical impedance vector analysis

    Serafini, S., Papale, O., di Credico, A., Fusco, A., Mascherini, G., Izzicupo, P.
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    “…di Credico, A.…”
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    DE-PASS Best Evidence statement (BESt): A systematic review and meta-analysis on the effectiveness of trials on device-measured physical activity and sedentary behaviour and their...

    Bartoš, F., Brandes, M., Capranica, L., Carlin, A., Ciaccioni, S., Corvino, C., Cortis, C., di Credico, A., Drid, P., Gallè, F., Izzicupo, P., Jahre, H., Khudair, M., Kolovelonis, A., Kongsvold, A., Kouidi, E., Ling, F. C. M., MacDonncha, C., Maier, M., Marcuzzi, A., Mork, P. J., Ng, K., Palumbo, F., Peric, R., Rumbold, P. L. S., Sandu, P., Stavnsbo, M., Syrmpas, I., Tempest, G. D., Vilela, S., Woods, C., Wunsch, K.
    Published in Sports Medicine (2025)
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    “…di Credico, A.…”
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    Can data-driven supervised machine learning approaches applied to infrared thermal imaging data estimate muscular activity and fatigue?

    Perpetuini, D., Formenti, D., Cardone, D., Trecroci, A., Rossi, A., Di Credico, A., Merati, G., Alberti, G., Di Baldassarre, A., Merla, A.
    Published in Sensors (2023)
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