Now showing items 1-2 of 2

    • First results from the REAL-time transient acquisition backend (REALTA) at the Irish LOFAR station 

      Murphy, P.C.; Callanan, P.; McCauley, J.; McKenna, D.J.; Ó Fionnagáin, D.; Louis, C.K.; Redman, M.P.; Cañizares, L.A.; Carley, E.P.; Maloney, S.A.; Coghlan, B.; Daly, Mark; Scully, J.; Dooley, J.; Gajjar, V.; Giese, C.; Brennan, A.; Keane, E.F.; Maguire, C.A.; Quinn, J.; Mooney, S.; Ryan, A.M.; Walsh, J.; Jackman, C.M.; Golden, A.; Ray, T.P.; Doyle, J.G.; Rigney, J.; Burton, M.; Gallagher, P.T. (ESO/EDP Sciences, 2021-10-28)
      Modern radio interferometers such as the LOw Frequency ARray (LOFAR) are capable of producing data at hundreds of gigabits to terabits per second. This high data rate makes the analysis of radio data cumbersome and ...
    • Utilizing machine learning techniques in football prediction 

      Duarte, Ryan (Technological University of the Shannon Midlands Midwest, 2022-08-20)
      From debates between football analysts, to opposing team’s fans, predicting the winner between two football teams has always been intrinsically tied to the sport. In more recent times, predicting the winner between two ...