[Published]
Alok Naik, "Numerical Investigation of the Incompressible Navier-Stokes Equations: Lid-Driven Cavity and Validation using the Ghia Benchmark", International Journal of Mathematical Sciences and Computing(IJMSC), Vol.12, No.2, pp. 101-108, 2026. DOI: 10.5815/ijmsc.2026.02.07
Alok Naik, "Beyond Accuracy: A Hybrid BERT-BiLSTM Framework with Explainable AI (XAI) for Detecting Machine-Generated Disinformation", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.16, No.3, pp. 350-358, 2026. DOI: 10.5815/ijwmt.2026.03.23
[Under Review]
Alok Naik, “Explainable Machine Learning for Predicting Hydrodynamic Residuary Resistance in Sailing Yachts" under review at Journal of Ocean Engineering and Marine Energy, June, 2026.
Alok Naik, “Physics-Informed Neural Networks for the Incompressible Navier–Stokes Equations”, under review at Facta Universitatis, Series: Mathematics and Informatics, January 2026.
Jisha CR, Nandana S, Alok Naik, Vijithra A, Anoop Pakkattil, "Physics-Guided Deep Learning Framework for Bearing Degradation and Remaining Useful Life Prediction in Wind Turbines”, under review at Reliability Engineering & System Safety, June 2026.
Jisha CR, Alok Naik, Nandana S, Vijithra A, “Physics-Informed Virtual Sensing for Spatiotemporal State Modeling of Lithium-Ion Batteries”, under review at Theoretical Computer Science, June 2026.
Jisha CR, Vijithra A, Alok Naik, Nandana S, “Physics-Informed Neural Network Framework for Engine Degradation Modeling”, under review at Communications in Nonlinear Science and Numerical Simulation, May 2026.
Alok Naik, Ambar Dutta, “Benchmarking Interpretable Machine Learning Models for Heart Disease Risk Prediction using SHAP and TOPSIS”, under review at International Journal of Intelligent Systems and Applications (IJISA), July, 2025.
Alok Naik, Ambar Dutta, “Early-Stage Alzheimer’s Disease Prediction Using Explainable Machine Learning”, under review at International Journal of Information Technology and Computer Science (IJITCS), Sept. , 2025.
[Preprint]