S. Chakraverty, Arup Kumar Sahoo, D. Mohapatra (2025); Artificial Neural Networks and Type-2 Fuzzy Set: Elements of Soft Computing and Its Applications, eISBN: 9780443328954, Elsevier Publication, DOI: 10.1016/C2023-0-52592-3. [Link, PDF]
S. Chakraverty, D. Mohapatra, Arup Kumar Sahoo, (2026); Artificial Intelligence Modeling for Dynamical Problems, Elsevier Publication (In Press)
P. Kumar, Arup Kumar Sahoo (2026); Applied and Computational Mathematics: Applications in Finance and Data Science, Springer Publication (In Press)
Arup Kumar Sahoo, S.K. Sahoo, S. Chakraverty (2026), AI-Guided Ocean Wave Prediction Device, Application No.: 476085-001
Arup Kumar Sahoo, S.K. Sahoo, S. Chakraverty (2025), CL-PINN: A Physics-informed Neural Networks Framework for Equatorial Tsunami Wave Propagation in Geophysical Ocean, IEEE Access, 13(2025), 149174-149186, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2025.3602179. [Link, PDF]
Arup Kumar Sahoo, S. Kumar, S. Chakraverty (2025), Physics-informed Neural Network for Vibration Analysis of Large Membranes, Journal of Nonlinear, Complex and Data Science, 25 (7-8): 505-521, ISSN: 2752-2334, DOI: 10.1515/jncds-2024-0081. [Link, PDF]
Arup Kumar Sahoo, S. Kumar, S. Chakraverty (2024), An Unsupervised Scientific Machine Learning Algorithm for Approximating Displacement of Object in Mass-Spring-Damper Systems, IEEE Access, 12(2024), 147753-147761, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2024.3475548. [Link, PDF]
Arup Kumar Sahoo, S. Chakraverty (2024), An Unsupervised Wavelet Neural Network Model for Approximating the Solutions of Non-linear Nervous Stomach Model Governed by Tension, Food and Medicine, Computer Methods in Biomechanics and Biomedical Engineering, 27(11), 1538-1551, ISSN: 2168-1163, DOI: 10.1080/10255842.2023.2248332. [Link, PDF]
Arup Kumar Sahoo, S. Chakraverty (2022), A Novel Approach to Simulate Lane-Emden and Emden-Fowler Equations using Curriculum Learning-Based Unsupervised Symplectic Artificial Neural Network, East Asian Journal on Applied Mathematics, 13(2), 276-298, ISSN: 2079-7370, DOI: 10.4208/eajam.2022-115.300922. [Link, PDF]
Arup Kumar Sahoo, S. Chakraverty (2022), Machine intelligence in dynamical systems: \A state-of-art review, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 12(1), e1461, eISSN: 1942-4795, DOI: 10.1002/widm.1461. [Link, PDF]
7. A. Bhanja, D. Parhi, D. Gajendra, K. Sinha, Arup Kumar Sahoo (2025), Driver Drowsiness Shield (DDSH): A Real-time Driver Drowsiness Detection System, ROBOMECH Journal, 12 (18), ISSN: 2197-4225, DOI: 10.1186/s40648-025-00307-4. [Link, PDF]
8. Arup Kumar Sahoo, S. Chakraverty (2024), A Neural Network Approach for the Solution of Van der Pol-Mathieu-Duffing Oscillator Model, Evolutionary Intelligence, 17(3), 1425–1435, ISSN: 1864-5909, DOI: 10.1007/s12065-023-00835-1. [Link, PDF]
9. S. Kumar, Arup Kumar Sahoo, S. Chakraverty (2023), Physics-Informed Machine Learning Framework for Approximating the Modified Degasperis-Procesi Equation, International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE), IEEE, 2023, DOI: 10.1109/AIKIIE60097.2023.10389876. [Link, PDF]
10. Arup Kumar Sahoo, S. Chakraverty (2023), Modeling of Mexican Hat Wavelet Neural Network with L-BFGS Algorithm for Simulating the Recycling Procedure of Waste Plastic in Ocean, Journal of Engineering Management and Systems Engineering, 2(1), 6175, DOI: 10.56578/jemse020104. [Link, PDF]
Arup Kumar Sahoo, S. Chakraverty (2024), Unsupervised Artificial Neural Network Model for Solving Fractional Differential Equations, Computational and Modeling for Fractional Order Systems, Elsevier, Amsterdam, Netherlands, 213-226, ISBN: 978-0-443-15404-1 DOI: 10.1016/B978-0-44-315404-1.00018-7. [Link, PDF]
Arup Kumar Sahoo, S. Chakraverty (2023), Curriculum Learning-Based Approach to Design an Unsupervised Neural Model for Solving Emden-Fowler Type Equations of Third-Order, Mathematical Methods in Dynamical Systems, CRC Press, Boca Raton, USA, 355-374, eISBN: 9781003328032, DOI:10.1201/9781003328032-14. [Link, PDF]
S. Kumar, Arup Kumar Sahoo, S. Chakraverty (2022), Comparative study of Chebyshev and Legendre Polynomial-based Neural Models for Approximating Multidimensional Poverty for an Indian State, Polynomial Paradigms: Trends and Applications in Science and Engineering, IOP, Bristol, 13-1 to 13-14, eISBN: 978-0-7503-5067-9, DOI: 10.1088/978-0-7503-5067-9ch13. [Link, PDF]
Arup Kumar Sahoo, S. Chakraverty (2021), Multilayer Unsupervised Symplectic Artificial Neural Network Model for Solving Duffing and Van der Pol-Duffing Oscillator Equations Arising in Engineering Problems, Modeling and Computation in Vibration Problems, Volume 2, IOP, Bristol, 3-1 to 3-13, ISBN: 978-0-7503-3485-3, DOI: 10.1088/978-0-7503-3487-7ch3. [Link, PDF]
Arup Kumar Sahoo, S. Chakraverty (2021), Curriculum Learning-Based Artificial Neural Network Model for Solving Differential Equations, Soft Computing in Interdisciplinary Sciences, Springer, Singapore, 129-145, ISBN: 978-981-16-4713-0, DOI: 10.1007/978-981-16-4713-0. [Link, PDF]
M. Sahoo, Arup Kumar Sahoo, and S. Chakraverty (2024), G-KdVNet: ANN-ADM Surrogate for Geophysical KdV Equation, https://doi.org/10.48550/arXiv.2601.04408
Arup Kumar Sahoo, I. Klein (2025), MoRPI-PINN: A Physics-Informed Framework for Mobile Robot Pure Inertial Navigation, https://doi.org/10.48550/arXiv.2507.18206.
S. Saini, R. Vats, and Arup Kumar Sahoo (2026), A-PINN: Auxiliary Physics-informed Neural Networks for Structural Vibration Analysis in Continuous Euler-Bernoulli Beam, https://arxiv.org/abs/2601.00866.
Arup Kumar Sahoo, I. Klein (2026), PiDR: Physics-Informed Inertial Dead Reckoning for Autonomous Platforms. http://arxiv.org/abs/2601.03040
GPS Denied Environment
Physics-informed Neural Network
CL-PINN
Mass-Spring-Damper Systems
COVID-19 detection from CXR images
Functional Link Neural Network
Polynomial Link Neural Network
Recycling Procedure of Waste Plastic in Ocean
TFM (Tension, Food, Medicine) Nervous Stomach Model
Curriculum Learning
Real World Data Availability
Equatorial Tsunami Wave
Modified Degasperis-Procesi Equation
Ground Truth
PINN Predicted
MSE Error