Biomedical Data Classification with Improvised Deep Learning Architectures

Machine learning applications, including deep learning-based obstacle detection and classification, human activity classification from egocentric videos, 3D object classification

Abstract : We develop a framework for analyzing the capital allocation and capital structure decisions facing financial institutions such as banks. Our model incorporates two

In this study, the prevalence of wasting among children under 5 years increased with the levels of food insecurity from mild (9.4%) to moderate (10.8%) and to severe (11.3%)

The High Court was of the opinion that although there may be more than one cause of a plaintiff’s loss, a defendant’s breach may still be a necessary condition of the harm and

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Learning phrase representations using rnn encoder-decoder for statistical machine translation.. Empirical evaluation of gated recurrent neural networks on

The first polynomial- time algorithm for testing whether a graph admits a skew partition was given in [ 9 ] and actually solves the list skew partition problem.. More recently, a

The surface morphology of mild steel specimen immersed in 1M H2SO4 in the absence and presence of hair sample extract at room temperature for 3 h was studied using a Scanning