Satyasaran Changdar
Postdoc
Ingredient and Dairy Technology
Rolighedsvej 26
1958 Frederiksberg C
1 - 6 out of 6Page size: 10
- 2024
- Published
An Application of Machine Learning Algorithms on the Prediction of the Damage Level of Rubble-Mound Breakwaters
Saha, S., De, S. & Changdar, Satyasaran, 2024, In: Journal of Offshore Mechanics and Arctic Engineering. 146, 1, 12 p., 011202.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Deep learning based solution of nonlinear partial differential equations arising in the process of arterial blood flow
Bhaumik, B., De, S. & Changdar, Satyasaran, 2024, In: Mathematics and Computers in Simulation. 217, p. 21-36Research output: Contribution to journal › Journal article › Research › peer-review
- Published
- Published
Nanoparticle aggregation and electro-osmotic propulsion in peristaltic transport of third-grade nanofluids through porous tube
Dolui, S., Bhaumik, B., De, S. & Changdar, Satyasaran, 2024, In: Computers in Biology and Medicine. 176, 20 p., 108617.Research output: Contribution to journal › Journal article › Research › peer-review
- E-pub ahead of print
Physics informed machine learning based applications for the stability analysis of breakwaters
Saha, S., De, S. & Changdar, Satyasaran, 2024, (E-pub ahead of print) In: Ships and Offshore Structures. p. 1-13Research output: Contribution to journal › Journal article › Research › peer-review
- E-pub ahead of print
Prediction of the stability number of conventional rubble-mound breakwaters using machine learning algorithms
Saha, S., Changdar, Satyasaran & De, S., 2024, (E-pub ahead of print) In: Journal of Ocean Engineering and Science.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 283968692
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Non-invasive phenotyping for water and nitrogen uptake by deep roots explored using machine learning
Research output: Contribution to journal › Journal article › Research › peer-review
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