Majdi I. Radaideh

According to our database, Majdi I. Radaideh authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multistep Criticality Search and Power Shaping in Microreactors with Reinforcement Learning.

Majdi I. Radaideh, Leo Tunkle, Dean Price, Kamal Abdulraheem, Linyu Lin, Moutaz Elias

CoRR, 2024

2023

Animorphic ensemble optimization: a large-scale island model.

Dean Price, Majdi I. Radaideh

Neural Comput. Appl., February, 2023

A Comparative Analysis of Text-to-Image Generative AI Models in Scientific Contexts: A Case Study on Nuclear Power.

Veda Joynt, Jacob Cooper, Naman Bhargava, Katie Vu, O. Hwang Kwon, Todd R. Allen, Aditi Verma, Majdi I. Radaideh

CoRR, 2023

Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions.

Steven Goldenberg, Malachi Schram, Kishansingh Rajput, Thomas Britton, Chris Pappas, Dan Lu, Jared Walden, Majdi I. Radaideh, Sarah Cousineau, Sudarshan Harave

CoRR, 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, Pradeep Ramuhalli, Sarah Cousineau

CoRR, 2023

2022

Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders.

Majdi I. Radaideh, Chris Pappas, Jared Walden, Dan Lu, Lasitha Vidyaratne, Thomas Britton, Kishansingh Rajput, Malachi Schram, Sarah Cousineau

Digit. Signal Process., 2022

Fault Prognosis in Particle Accelerator Power Electronics Using Ensemble Learning.

Majdi I. Radaideh, Chris Pappas, Mark Wezensky, Pradeep Ramuhalli, Sarah Cousineau

CoRR, 2022

Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions.

Majdi I. Radaideh, Hoang Tran, Lianshan Lin, Hao Jiang, Drew Winder, Sarma Gorti, Guannan Zhang, Justin Mach, Sarah Cousineau

CoRR, 2022

2021

Rule-based reinforcement learning methodology to inform evolutionary algorithms for constrained optimization of engineering applications.

Majdi I. Radaideh, Koroush Shirvan

Knowl. Based Syst., 2021

NEORL: NeuroEvolution Optimization with Reinforcement Learning.

Majdi I. Radaideh, Katelin Du, Paul Seurin, Devin Seyler, Xubo Gu, Haijia Wang, Koroush Shirvan

CoRR, 2021

2020

Surrogate modeling of advanced computer simulations using deep Gaussian processes.

Majdi I. Radaideh, Tomasz Kozlowski

Reliab. Eng. Syst. Saf., 2020

Neural-based time series forecasting of loss of coolant accidents in nuclear power plants.

Majdi I. Radaideh, Connor Pigg, Tomasz Kozlowski, Yujia Deng, Annie Qu

Expert Syst. Appl., 2020

Improving Intelligence of Evolutionary Algorithms Using Experience Share and Replay.

Majdi I. Radaideh, Koroush Shirvan

CoRR, 2020

2019

Integrated framework for model assessment and advanced uncertainty quantification of nuclear computer codes under Bayesian statistics.

Majdi I. Radaideh, Katarzyna Borowiec, Tomasz Kozlowski

Reliab. Eng. Syst. Saf., 2019