• Bayesian network based heuristic for energy aware EEG signal classification 

      Mohamed A.; Shaban K.B.; Mohamed A. ( SpringerLink , 2013 , Conference Paper)
      A major challenge in the current research of wireless electroencephalograph (EEG) sensor-based medical or Brain Computer Interface applications is how to classify EEG signals as accurately and energy efficient as possible. ...
    • Channel Aware and Queue Aware Scheduling in LTE Uplink 

      Hajipour J.; Mohamed A.; Leung V.C.M. ( SpringerLink , 2012 , Conference Paper)
      Long Term Evolution (LTE) uses single carrier frequency division multiple access (SCFDMA) technique as the multiple access scheme in the uplink, due to its low peak to average power ratio (PAPR) compared to orthogonal ...