Search Results - Cardone, D.
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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)“…Cardone, D.…”
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Determining clearance during the preparticipation evaluation
Boyaijan-O'Neill, L., Cardone, D., Dexter, W., DiFiori, J., Fields, K. B., Jones, D. A., Pallay, R., Small, E., Reed, F., Roberts, W. O., Wroble, R., Zinni, P.Published in The Physician and Sportsmedicine (2004)“…Cardone, D.…”
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The preparticipation examination for the athlete with special needs
Boyaijan-O'Neill, L., Cardone, D., Dexter, W., DiFiori, J., Fields, B., Jones, D. A., Pallay, R., Small, E., Reed, F., Roberts, W. O., Wroble, R., Zinni, P.Published in The Physician and Sportsmedicine (2004)“…Cardone, D.…”