Now showing items 1-3 of 3

    • Analysis of uncertainty in different neural network structures using Monte Carlo Dropout 

      Islam, Md. Farhadul; Zabeen, Sarah; Rahman, Fardin Bin; Islam, Md. Azharul; Kibria, Fahmid Bin (Brac University, 2023-01)
      Deep learning technologies developed at an exponential rate throughout the years. Starting from Convolutional Neural Networks (CNNs) to Involutional Neural Networks (INNs), there are several neural network (NN) architectures ...
    • Analysis of uncertainty in different neural network structures using monte carlo dropout 

      Islam, Md. Farhadul; Zabeen, Sarah; Bin Rahman, Fardin; Islam, Md. Azharul; Bin Kibria, Fahmid (Brac University, 2023-01)
      Deep learning technologies developed at an exponential rate throughout the years. Starting from Convolutional Neural Networks (CNNs) to Involutional Neural Net works (INNs), there are several neural network (NN) architectures ...
    • Tsunami source uncertainty estimation: the 2011 Japan tsunami 

      Dettmer, Jan; Hawkins, Rhys; Cummins, Phil R.; Hossen, Jakir; Sambridge, Malcolm; Hino, Ryota; Inazu, Daisuke (© 2016 Blackwell Publishing Ltd, 2016)
      This paper studies the initial sea surface displacement and its uncertainty after an earthquake based on tsunami waveforms. The spatial distribution is inferred with a Bayesian approach that provides probabilities that are ...