7 citations · 13 across the 3 of their papers we have counts for
3 papers
Artificial Neural Networks and Guided Gene Expression Programming to Predict Wall Pressure Spectra Beneath Turbulent Boundary Layers
Nachiketa Narayan Kurhade, Nagabhushana Rao Vadlamani, Akash Haridas
This study evaluates the efficacy of two machine learning (ML) techniques, namely artificial neural networks (ANN) and gene expression programming (GEP) that use data-driven modeli…
DADAgger: Disagreement-Augmented Dataset Aggregation
Akash Haridas, Karim Hamadeh, Samarendra Chandan Bindu Dash
DAgger is an imitation algorithm that aggregates its original datasets by querying the expert on all samples encountered during training. In order to reduce the number of samples q…
Deep Neural Networks to Correct Sub-Precision Errors in CFD
Akash Haridas, Nagabhushana Rao Vadlamani, Yuki Minamoto
Information loss in numerical physics simulations can arise from various sources when solving discretized partial differential equations. In particular, errors related to numerical…