Ken J Dayman Research Associate Contact 865.574.2835 | DAYMANKJ@ORNL.GOV All Publications Flexible classification with spatial quantile comparison and novel statistical features applied to spent nuclear fuel analysi... Determining Cooling Time to Improve Burnup Estimation for Characterizing Reactor Operations Contrastive Machine Learning with Gamma Spectroscopy Data Augmentations for Detecting Shielded Radiological Material Transfer... Short-lived noble gas effluent trends from a research reactor Characterizing Reactor Operations from Realistic Simulated Environmental Samples: Combining High-Performance Computing and Data Analytics SNM Radiation Signature Classification Using Different Semi-Supervised Machine Learning Models Improving an Acoustic Vehicle Detector Using an Iterative Self-Supervision Procedure Tracking Material Transfers at a Nuclear Facility with Physics-Informed Machine Learning and Data Fusion Quantifying the Impact of New Data Streams and Methods using a Mission-Relevant Framework... Isotope Ratio Features for Classification of Dissolution Events Using Effluents Measurements Development of a Neutron List Mode Collar (LMCL) and List Mode Response Matrix Analysis Concept Development and evaluation of a list mode neutron coincidence collar for spatial response measurements of fresh fuel assemblies Updates to Relevance Vector Machine Polychotomous Classification, Variable Selection, and Proof-of-Concept Application to List Mode Neutron Collar Data Reactor Power Level Estimation by Fusing Multi-Modal Sensor Measurements Machine Learning Approaches for Nuclear Material Accounting Data from Irradiation and Reprocessing Automated Vehicle Detection in a Nuclear Facility Using Low-Frequency Acoustic Sensors Leveraging Machine Learning Capabilities for the Characterization of Irradiated Uranium: A Case Study of Analysis Methods for Nuclear Safeguards and Nuclear Forensics An Explainable Statistical Learning Algorithm to Support Data Fusion Classification of Dissolution Events Using Fusion of Effluents Measurements and Classifiers Classifiers for Dissolution Events in Processing Facility Using Effluents Measurements Using Quantile Comparisons to Classify Environmental Samples Transformative Data Analytics Capabilities for Nuclear Forensics and Safeguards Verification Data Pattern Recognition and Change Detection at the Neutron Instrument Level Classification of Forensic Measurements Using Multivariate Quantile Comparisons Sparse Bayesian Regression with Integrated Feature Selection for Nuclear Reactor Analysis Pagination Current page 1 Page 2 Next page ›â¶Äº Last page Last » Key Links Curriculum Vitae Organizations National Security Sciences Directorate Nuclear Nonproliferation Division Nonproliferation Engineering Science and Technologies Section Collection Science and Engineering Group
