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researcher

J. Kani

2 papers here

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author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CE2

identity via Semantic Scholar / OpenAlex

most citedDR-RNN: A deep residual recurrent neural network for model reduction

72 citations · 72 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CE2018

Reduced order modeling of subsurface multiphase flow models using deep residual recurrent neural networks

J. Nagoor Kani, Ahmed H. Elsheikh

We present a reduced order modeling (ROM) technique for subsurface multi-phase flow problems building on the recently introduced deep residual recurrent neural network (DR-RNN) [1]…

cs.CE2017★ 72 cited

DR-RNN: A deep residual recurrent neural network for model reduction

J. Nagoor Kani, Ahmed H. Elsheikh

We introduce a deep residual recurrent neural network (DR-RNN) as an efficient model reduction technique for nonlinear dynamical systems. The developed DR-RNN is inspired by the it…

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