| Investigation of nanoparticle as a drug carrier suspended in a blood flowing through an inclined multiple stenosed artery S Changdar, S De Bionanoscience 8 (1), 166-178, 2018 | 27 | 2018 |
| Analytical investigation of nanoparticle as a drug carrier suspended in a MHD blood flowing through an irregular shape stenosed artery S Changdar, S De Iranian Journal of Science and Technology, Transactions A: Science 43, 1259-1272, 2019 | 26 | 2019 |
| Analytical solution of mathematical model of magnetohydrodynamic blood nanofluid flowing through an inclined multiple stenosed artery S Changdar, S De Journal of Nanofluids 6 (6), 1198-1205, 2017 | 25 | 2017 |
| A survey of data mining applications and techniques S Mukherjee, R Shaw, N Haldar, S Changdar International journal of Computer Science and information Technologies 6 (5 …, 2015 | 25 | 2015 |
| Analysis of non-linear pulsatile blood flow in artery through a generalized multiple stenosis S Changdar, S De Arabian Journal of Mathematics 5, 51-61, 2016 | 20 | 2016 |
| EFFECT OF A VARIABLE MAGNETIC FIELD ON PERISTALTIC SLIP FLOW OF BLOOD-BASED HYBRID NANOFLUID THROUGH A NONUNIFORM ANNULAR CHANNEL S Dolui, B Bhaumik, S De, S Changdar Journal of Mechanics in Medicine and Biology 23 (01), 2250070, 2023 | 17 | 2023 |
| Combined impact of Brownian motion and thermophoresis on nanoparticle distribution in peristaltic nanofluid flow in an asymmetric channel B Bhaumik, S Changdar, S De International Journal of Ambient Energy 43 (1), 5064-5075, 2022 | 15 | 2022 |
| Study of nanoparticle as a drug carrier through stenosed arteries using Bernstein polynomials A Chatterjee, S Changdar, S De International Journal for Computational Methods in Engineering Science and …, 2020 | 15 | 2020 |
| Physics-based smart model for prediction of viscosity of nanofluids containing nanoparticles using deep learning S Changdar, B Bhaumik, S De Journal of Computational Design and Engineering 8 (2), 600-614, 2021 | 14 | 2021 |
| Prediction of the stability number of conventional rubble-mound breakwaters using machine learning algorithms S Saha, S Changdar, S De Journal of Ocean Engineering and Science, 2022 | 10 | 2022 |
| Transport of spherical nanoparticles suspended in a blood flowing through stenose artery under the influence of Brownian motion S Changdar, S De Journal of Nanofluids 6 (1), 87-96, 2017 | 10 | 2017 |
| An optimized hyper kurtosis based modified duo-histogram equalization (HKMDHE) method for contrast enhancement purpose of low contrast human brain CT scan images S Mukhopadhyay, N Ghosh, R Burman, PK Panigrahi, S Pratiher, ... 2015 International Conference on Advances in Computing, Communications and …, 2015 | 10 | 2015 |
| A smart model for prediction of viscosity of nanofluids using deep learning S Changdar, S Saha, S De Smart Science 8 (4), 242-256, 2020 | 9 | 2020 |
| A unique physics-aided deep learning model for predicting viscosity of nanofluids B Bhaumik, S Chaturvedi, S Changdar, S De International Journal for Computational Methods in Engineering Science and …, 2023 | 8 | 2023 |
| An expert model based on physics-aware neural network for the prediction of thermal conductivity of nanofluids B Bhaumik, S Changdar, S De Journal of Heat Transfer 144 (10), 103501, 2022 | 7 | 2022 |
| 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 S Dolui, B Bhaumik, S De, S Changdar Chemical Physics Letters 829, 140756, 2023 | 6 | 2023 |
| Numerical simulation of nonlinear pulsatile Newtonian blood flow through a multiple stenosed artery S Changdar, S De International Scholarly Research Notices 2015, 2015 | 5 | 2015 |
| Solution of Definite Integrals using Functional Link Artificial Neural Networks S Changdar, S Bhattacharjee arXiv preprint arXiv:1904.09656, 2019 | 4 | 2019 |
| Analysis of blood flow through multi-irregular shape stenosed artery S Das, S Das, S Changdar, S De Int J Pharm Biol Sci 4 (2), 244-252, 2014 | 4 | 2014 |
| An Application of Machine Learning Algorithms on the Prediction of the Damage Level of Rubble-Mound Breakwaters S Saha, S De, S Changdar Journal of Offshore Mechanics and Arctic Engineering 146 (1), 011202, 2024 | 3 | 2024 |
Soumen DeDepartment of Applied Mathematics, University of CallcuttaBestätigte E-Mail-Adresse bei caluniv.ac.in
