Majdi I. Radaideh

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Reinforcement Learning

Evolutionary Neural Networks

Distance Preserving

Top Venues

Reliab. Eng. Syst. Saf.

Neural Comput. Appl.

Expert Syst. Appl.

Publications

Majdi I. Radaideh, Leo Tunkle, Dean Price, Kamal Abdulraheem, Linyu Lin, Moutaz Elias
Multistep Criticality Search and Power Shaping in Microreactors with Reinforcement Learning. CoRR (2024)
Steven Goldenberg, Malachi Schram, Kishansingh Rajput, Thomas Britton, Chris Pappas, Dan Lu, Jared Walden, Majdi I. Radaideh, Sarah Cousineau, Sudarshan Harave
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions. CoRR (2023)
Dean Price, Majdi I. Radaideh
Animorphic ensemble optimization: a large-scale island model. Neural Comput. Appl. 35 (4) (2023)
Veda Joynt, Jacob Cooper, Naman Bhargava, Katie Vu, O. Hwang Kwon, Todd R. Allen, Aditi Verma, Majdi I. Radaideh
A Comparative Analysis of Text-to-Image Generative AI Models in Scientific Contexts: A Case Study on Nuclear Power. CoRR (2023)
Yasir Alanazi, Malachi Schram, Kishansingh Rajput, Steven Goldenberg, Lasitha Vidyaratne, Chris Pappas, Majdi I. Radaideh, Dan Lu, Pradeep Ramuhalli, Sarah Cousineau
Multi-module based CVAE to predict HVCM faults in the SNS accelerator. CoRR (2023)
Majdi I. Radaideh, Chris Pappas, Mark Wezensky, Pradeep Ramuhalli, Sarah Cousineau
Fault Prognosis in Particle Accelerator Power Electronics Using Ensemble Learning. CoRR (2022)
Majdi I. Radaideh, Hoang Tran, Lianshan Lin, Hao Jiang, Drew Winder, Sarma Gorti, Guannan Zhang, Justin Mach, Sarah Cousineau
Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions. CoRR (2022)
Majdi I. Radaideh, Chris Pappas, Jared Walden, Dan Lu, Lasitha Vidyaratne, Thomas Britton, Kishansingh Rajput, Malachi Schram, Sarah Cousineau
Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders. Digit. Signal Process. 130 (2022)
Majdi I. Radaideh, Katelin Du, Paul Seurin, Devin Seyler, Xubo Gu, Haijia Wang, Koroush Shirvan
NEORL: NeuroEvolution Optimization with Reinforcement Learning. CoRR (2021)
Majdi I. Radaideh, Koroush Shirvan
Rule-based reinforcement learning methodology to inform evolutionary algorithms for constrained optimization of engineering applications. Knowl. Based Syst. 217 (2021)
Majdi I. Radaideh, Tomasz Kozlowski
Surrogate modeling of advanced computer simulations using deep Gaussian processes. Reliab. Eng. Syst. Saf. 195 (2020)
Majdi I. Radaideh, Koroush Shirvan
Improving Intelligence of Evolutionary Algorithms Using Experience Share and Replay. CoRR (2020)
Majdi I. Radaideh, Connor Pigg, Tomasz Kozlowski, Yujia Deng, Annie Qu
Neural-based time series forecasting of loss of coolant accidents in nuclear power plants. Expert Syst. Appl. 160 (2020)
Majdi I. Radaideh, Katarzyna Borowiec, Tomasz Kozlowski
Integrated framework for model assessment and advanced uncertainty quantification of nuclear computer codes under Bayesian statistics. Reliab. Eng. Syst. Saf. 189 (2019)