Satyasaran Changdar

Satyasaran Changdar

Postdoc


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  1. 2024
  2. Udgivet

    An Application of Machine Learning Algorithms on the Prediction of the Damage Level of Rubble-Mound Breakwaters

    Saha, S., De, S. & Changdar, Satyasaran, 2024, I: Journal of Offshore Mechanics and Arctic Engineering. 146, 1, 12 s., 011202.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  3. Udgivet

    Deep learning based solution of nonlinear partial differential equations arising in the process of arterial blood flow

    Bhaumik, B., De, S. & Changdar, Satyasaran, 2024, I: Mathematics and Computers in Simulation. 217, s. 21-36

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  4. Udgivet

    Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet

    Pandey, Sumit, Changdar, Satyasaran, Perslev, Mathias & Dam, Erik Bjørnager, 2024, arxiv.org, 9 s.

    Publikation: Working paper › Preprint › Forskning

  5. Udgivet

    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, I: Computers in Biology and Medicine. 176, 20 s., 108617.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  6. 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) I: Ships and Offshore Structures. s. 1-13

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  7. 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) I: Journal of Ocean Engineering and Science.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  8. 2023
  9. Udgivet

    A unique physics-aided deep learning model for predicting viscosity of nanofluids

    Bhaumik, B., Chaturvedi, S., Changdar, Satyasaran & De, S., 2023, I: International Journal for Computational Methods in Engineering Science and Mechanics. 24, 2, s. 167-181

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  10. Udgivet

    Biomedical simulations of hybrid nano fluid flow through a balloon catheterized stenotic artery with the effects of an inclined magnetic field and variable thermal conductivity

    Dolui, S., Bhaumik, B., De, S. & Changdar, Satyasaran, 2023, I: Chemical Physics Letters. 829, 19 s., 140756.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  11. Udgivet

    Effect of a variable magnetic field on peristaltic slip flow of blood-based hybrid nanofluid through a nonuniform annular channel

    Dolui, S., Bhaumik, B., De, S. & Changdar, Satyasaran, 2023, I: Journal of Mechanics in Medicine and Biology. 21, 1, 31 s., 2250070.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  12. Udgivet

    Non-invasive phenotyping for water and nitrogen uptake by deep roots explored using machine learning

    Changdar, Satyasaran, Popovic, O., Wacker, Tomke Susanne, Markussen, Bo, Dam, Erik Bjørnager & Thorup-Kristensen, Kristian, 2023, I: Plant and Soil. 493, s. 603–616

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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