• EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication 

      Ibtehaz N.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Rahman M.S.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      In recent years, physiological signal-based authentication has shown great promises, for its inherent robustness against forgery. Electrocardiogram (ECG) signal, being the most widely studied biosignal, has also received ...
    • Fuzzy intervention in biological phenomena 

      Nounou, H.N.; Nounou, M.N.; Meskin, Nader; Datta, A.; Dougherty, E.R. ( IEEE , 2012 , Article)
      An important objective of modeling biological phenomena is to develop therapeutic intervention strategies to move an undesirable state of a diseased network toward a more desirable one. Such transitions can be achieved by ...
    • Wavelet-based multiscale filtering of genomic data 

      Nounou, M.; Nounou, H.; Meskin, Nader; Datta, A. ( IEEE Computer Society , 2012 , Conference Paper)
      Measured biological data are a rich source of information about the biological phenomena they represent. For example, time-series genomic or metabolic microarray data can be used to construct dynamic genetic regulatory ...