Prediction of Subsurface NMR T2 Distributions in a Shale Petroleum System Using Variational Autoencoder-Based Neural Networks. - Hao Li 005; Siddharth Misra (IEEE Geosci. Remote. Sens. Lett., 2017)

Long Short-Term Memory and Variational Autoencoder With Convolutional Neural Networks for Generating NMR T2 Distributions. - Hao Li 005; Siddharth Misra (IEEE Geosci. Remote. Sens. Lett., 2019)

CryptoCurrency: A Black and White Analysis. - Siddharth Misra; Vishal Kashyap; Poonacha K. B.; Arjun Mukund; Parameshwar H. S. (Int. J. Inf. Syst. Soc. Chang., 2020)

Buyback of Shares and Its Signaling Theory: Decision Making Using RIDIT Analysis. - Siddharth Misra; Udit Narayan; Vivek Bhushan Pramanik; Prema Sundara Iyengar (Int. J. Inf. Syst. Soc. Chang., 2020)

Intelligent Image Segmentation for Organic-Rich Shales Using Random Forest, Wavelet Transform, and Hessian Matrix. - Yaokun Wu; Siddharth Misra (IEEE Geosci. Remote. Sens. Lett., 2020)

Neural network modeling of in situ fluid-filled pore size distributions in subsurface shale reservoirs under data constraints. - Hao Li 005; Siddharth Misra; Jiabo He (Neural Comput. Appl., 2020)

Robust machine-learning workflow for subsurface geomechanical characterization and comparison against popular empirical correlations. - Hao Li 005; Siddharth Misra (Expert Syst. Appl., 2021)

Controlling mixed-mode fatigue crack growth using deep reinforcement learning. - Yuteng Jin; Siddharth Misra (Appl. Soft Comput., 2022)

Unsupervised learning monitors the carbon-dioxide plume in the subsurface carbon storage reservoir. - Keyla Gonzalez; Siddharth Misra (Expert Syst. Appl., 2022)

Controlling fracture propagation using deep reinforcement learning. - Yuteng Jin; Siddharth Misra (Eng. Appl. Artif. Intell., 2023)

Optimization of Flexible Manufacturing Production Line System Based on Digital Twin. - Gowtham Ramkumar; Siddharth Misra; Gadde Raghu Babu; Anantha Rao Gottimukkala; Someshwar Siddi; Jyothula Sunil Kumar (SN Comput. Sci., 2023)

Internet of Things Driven Rule Based Management Model for Heterogeneous Environment. - Rambabu Kalathiripi; K. Saravanan; Siddharth Misra; Sandip Ramesh Patil; M. Srinivasa Rao; Nilamadhab Mishra; Niraj C. Chaudhari (SN Comput. Sci., 2024)

Geological and engineering insights from transfer learning with fourier neural operators: A case study of CO2 storage forecasting in disparate saline aquifers. - Yusuf Falola; Siddharth Misra; Andres Nunez (Appl. Soft Comput., 2025)