18 citations · 26 across the 11 of their papers we have counts for
11 papers
Modeling the seasonal variability and the governing factors of Ocean Acidification over the Bay of Bengal region
A. P Joshi, H. V Warrior
The Bay of Bengal (BoB) is a high recipient of freshwater flux from rivers and precipitation, making the region strongly stratified. The strong stratification results in a thick ba…
Modeling the sea-surface CO of the central Bay of Bengal region using machine learning algorithms
A. P Joshi, V. Kumar, H. V Warrior
The present study explores the capabilities of advanced machine learning algorithms in predicting the sea-surface CO in the open oceans of the Bay of Bengal (BoB). We collec…
Data-driven prediction of complex flow field over an axisymmetric body of revolution using Machine Learning
J P Panda, H V Warrior
Computationally efficient and accurate simulations of the flow over axisymmetric bodies of revolution (ABR) has been an important desideratum for engineering design. In this articl…
Evaluation of machine learning algorithms for predictive Reynolds stress transport modeling
J. P. Panda, H. V. Warrior
The application machine learning (ML) algorithms to turbulence modeling has shown promise over the last few years, but their application has been restricted to eddy viscosity based…
Modelling the Pressure Strain Correlation in turbulent flows using Deep Neural Networks
J P Panda, H V Warrior
The pressure strain correlation plays a critical role in the Reynolds stress transport modelling. Accurate modelling of the pressure strain correlation leads to proper prediction o…
Experimental and numerical investigation of the hydrodynamic characteristics of Autonomous Underwater Vehicles over sea-beds with complex topography
A. Mitra, J. P. Panda, H. V. Warrior
Improved designs for Autonomous Underwater Vehicles (AUV) are becoming increasingly important due to their utility in academic and industrial applications. However, a majority of s…