Use of reliability measures to improve the performance of fuzzy ARTMAP networks. - Pradeep Ramuhalli; Lalita Udpa; Satish S. Udpa (IJCNN, 1999)

Fuzzy ARTMAP network with evolutionary learning. - Pradeep Ramuhalli; Robi Polikar; Lalita Udpa; Satish S. Udpa (ICASSP, 2000)

Dynamic Programming Based Multichannel Image Restoration. - Mrityunjay Kumar; Pradeep Ramuhalli (ICASSP (2), 2005)

Finite-element neural networks for solving differential equations. - Pradeep Ramuhalli; Lalita Udpa; Satish S. Udpa (IEEE Trans. Neural Networks, 2005)

Integrated imaging and vision techniques for industrial inspection: a special issue on machine vision and applications. - Zheng Liu 002; Hiroyuki Ukida; Pradeep Ramuhalli; David S. Forsyth (Mach. Vis. Appl., 2010)

Particle-Filter-Based Multisensor Fusion for Solving Low-Frequency Electromagnetic NDE Inverse Problems. - Tariq Khan; Pradeep Ramuhalli; Sarat C. Dass (IEEE Trans. Instrum. Meas., 2011)

Online sensor calibration assessment in nuclear power systems. - Jamie Coble; Pradeep Ramuhalli; Ryan Meyer; Hash Hashemian (IEEE Instrum. Meas. Mag., 2013)

Progress towards prognostic health management of passive components in advanced reactors - Model selection and evaluation. - Surajit Roy; Gerges Dib; Pradeep Ramuhalli; Evelyn H. Hirt; Matthew S. Prowant; Lorenzo Luzi; Allan F. Pardini; Stan G. Pitman (ICPHM, 2015)

Uncertainty aware anomaly detection to predict errant beam pulses in the SNS accelerator. - Willem Blokland; Pradeep Ramuhalli; Charles Peters; Yigit A. Yucesan; Alexander Zhukov; Malachi Schram; Kishansingh Rajput; Torri Jeske (CoRR, 2021)

Fault Prognosis in Particle Accelerator Power Electronics Using Ensemble Learning. - Majdi I. Radaideh; Chris Pappas; Mark Wezensky; Pradeep Ramuhalli; Sarah Cousineau (CoRR, 2022)

Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning. - Katarzyna Borowiec; Dan Lu 001; Vikas Chandan; Samrat Chatterjee; Pradeep Ramuhalli; Ramakrishna Tipireddy; Mahantesh Halappanavar; Frank Liu 001 (ICMLA, 2023)

Multi-module based CVAE to predict HVCM faults in the SNS accelerator. - Yasir Alanazi; Malachi Schram; Kishansingh Rajput; Steven Goldenberg; Lasitha Vidyaratne; Chris Pappas; Majdi I. Radaideh; Dan Lu 001; Pradeep Ramuhalli; Sarah Cousineau (CoRR, 2023)

A Provably Accurate Randomized Sampling Algorithm for Logistic Regression. - Agniva Chowdhury; Pradeep Ramuhalli (AAAI, 2024)

Transient Optimization of the Cryogenic Moderator System Controller at the Spallation Neutron Source for Improved Performance. - Bryan P. Maldonado; Frank Liu 001; Nolan Goth; Pradeep Ramuhalli; Matthew Howell; Ryuji Maekawa; Brian D. Degraff; Sarah Cousineau (CCTA, 2024)

Robust errant beam prognostics with conditional modeling for particle accelerators. - Kishansingh Rajput; Malachi Schram; Willem Blokland; Yasir Alanazi; Pradeep Ramuhalli; Alexander Zhukov; Charles Peters; Ricardo Vilalta (Mach. Learn. Sci. Technol., 2024)

Temperature-Compensated Tuning Fork Sensor for Internal Pressure Monitoring of Spent Fuel Canisters. - Sreejith Vattaparambil Sreedharan; Pradeep Ramuhalli; Muhammad Zubair Aslam; Veerla Swarnalatha; Shuai Ju; Mitali Hardik Desai; Masoud Naghdi; Haifeng Zhang 009 (IEEE Trans. Instrum. Meas., 2025)

Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research. - Ahmed Almeldein; Mohammed Alnaggar; Rick Archibald; Tom Beck; Arpan Biswas; Rike Bostelmann; Wes Brewer; Chris Bryan; Christopher Calle; Cihangir Celik; Rajni Chahal; Jong Youl Choi; et al. (CoRR, 2025)