Majdi I. Radaideh

23 papers Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multifidelity Surrogate Modeling of Depressurized Loss of Forced Cooling in High-temperature Gas Reactors. CoRR Meredith Eaheart, Majdi I. Radaideh
2026	J	`jnl`	Tensorized Discontinuous Isogeometric Analysis Method for the 2-D Time-Independent Linearized Boltzmann Transport Equation. CoRR Patrick A. Myers, Joseph A. Bogdan, Majdi I. Radaideh, Brian C. Kiedrowski
2025	J	`jnl`	Fairness and social bias quantification in Large Language Models for sentiment analysis. Knowl. Based Syst. Mohammed I. Radaideh, O. Hwang Kwon, Majdi I. Radaideh
2025	J	`jnl`	Nuclear Microreactor Control with Deep Reinforcement Learning. CoRR Leo Tunkle, Kamal Abdulraheem, Linyu Lin, Majdi I. Radaideh
2025	J	`jnl`	On the Impact of Language Nuances on Sentiment Analysis with Large Language Models: Paraphrasing, Sarcasm, and Emojis. CoRR Naman Bhargava, Mohammed I. Radaideh, O. Hwang Kwon, Aditi Verma, Majdi I. Radaideh
2025	J	`jnl`	Opening the Black-Box: Symbolic Regression with Kolmogorov-Arnold Networks for Energy Applications. CoRR Nataly R. Panczyk, Ömer Erdem, Majdi I. Radaideh
2025	J	`jnl`	Variational Digital Twins. CoRR Logan A. Burnett, Umme Mahbuba Nabila, Majdi I. Radaideh
2024	J	`jnl`	Distance preserving machine learning for uncertainty aware accelerator capacitance predictions. Mach. Learn. Sci. Technol. Steven Goldenberg, Malachi Schram, Kishansingh Rajput, Thomas Britton, Chris Pappas, Dan Lu, Jared Walden, Majdi I. Radaideh, Sarah Cousineau, Sudarshan Harave
2024	J	`jnl`	Multi-objective Combinatorial Methodology for Nuclear Reactor Site Assessment: A Case Study for the United States. CoRR Ömer Erdem, Kevin Daley, Gabrielle Hoelzle, Majdi I. Radaideh
2024	J	`jnl`	Multistep Criticality Search and Power Shaping in Microreactors with Reinforcement Learning. CoRR Majdi I. Radaideh, Leo Tunkle, Dean Price, Kamal Abdulraheem, Linyu Lin, Moutaz Elias
2023	J	`jnl`	A Comparative Analysis of Text-to-Image Generative AI Models in Scientific Contexts: A Case Study on Nuclear Power. CoRR Veda Joynt, Jacob Cooper, Naman Bhargava, Katie Vu, O. Hwang Kwon, Todd R. Allen, Aditi Verma, Majdi I. Radaideh
2023	J	`jnl`	Animorphic ensemble optimization: a large-scale island model. Neural Comput. Appl. Dean Price, Majdi I. Radaideh
2023	J	`jnl`	Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions. CoRR Steven Goldenberg, Malachi Schram, Kishansingh Rajput, Thomas Britton, Chris Pappas, Dan Lu, Jared Walden, Majdi I. Radaideh, Sarah Cousineau, Sudarshan Harave
2023	J	`jnl`	Multi-module based CVAE to predict HVCM faults in the SNS accelerator. CoRR Yasir Alanazi, Malachi Schram, Kishansingh Rajput, Steven Goldenberg, Lasitha Vidyaratne, Chris Pappas, Majdi I. Radaideh, Dan Lu, Pradeep Ramuhalli, Sarah Cousineau
2022	J	`jnl`	Fault Prognosis in Particle Accelerator Power Electronics Using Ensemble Learning. CoRR Majdi I. Radaideh, Chris Pappas, Mark Wezensky, Pradeep Ramuhalli, Sarah Cousineau
2022	J	`jnl`	Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions. CoRR Majdi I. Radaideh, Hoang Tran, Lianshan Lin, Hao Jiang, Drew Winder, Sarma Gorti, Guannan Zhang, Justin Mach, Sarah Cousineau
2022	J	`jnl`	Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders. Digit. Signal Process. Majdi I. Radaideh, Chris Pappas, Jared Walden, Dan Lu, Lasitha Vidyaratne, Thomas Britton, Kishansingh Rajput, Malachi Schram, Sarah Cousineau
2021	J	`jnl`	NEORL: NeuroEvolution Optimization with Reinforcement Learning. CoRR Majdi I. Radaideh, Katelin Du, Paul Seurin, Devin Seyler, Xubo Gu, Haijia Wang, Koroush Shirvan
2021	J	`jnl`	Rule-based reinforcement learning methodology to inform evolutionary algorithms for constrained optimization of engineering applications. Knowl. Based Syst. Majdi I. Radaideh, Koroush Shirvan
2020	J	`jnl`	Improving Intelligence of Evolutionary Algorithms Using Experience Share and Replay. CoRR Majdi I. Radaideh, Koroush Shirvan
2020	J	`jnl`	Neural-based time series forecasting of loss of coolant accidents in nuclear power plants. Expert Syst. Appl. Majdi I. Radaideh, Connor Pigg, Tomasz Kozlowski, Yujia Deng, Annie Qu
2020	J	`jnl`	Surrogate modeling of advanced computer simulations using deep Gaussian processes. Reliab. Eng. Syst. Saf. Majdi I. Radaideh, Tomasz Kozlowski
2019	J	`jnl`	Integrated framework for model assessment and advanced uncertainty quantification of nuclear computer codes under Bayesian statistics. Reliab. Eng. Syst. Saf. Majdi I. Radaideh, Katarzyna Borowiec, Tomasz Kozlowski