Ken J Dayman Research Associate Contact 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 Isotope Ratio Features for Classification of Dissolution Events Using Effluents Measurements Quantifying the Impact of New Data Streams and Methods using a Mission-Relevant Framework... 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 An Explainable Statistical Learning Algorithm to Support Data Fusion 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 Classification of Dissolution Events Using Fusion of Effluents Measurements and Classifiers Transformative Data Analytics Capabilities for Nuclear Forensics and Safeguards Classifiers for Dissolution Events in Processing Facility Using Effluents Measurements Using Quantile Comparisons to Classify Environmental Samples 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 ›› Last page Last » Key Links Curriculum Vitae ORCID Organizations National Security Sciences Directorate Nuclear Nonproliferation Division Nonproliferation Engineering Science and Technologies Section Collection Science and Engineering Group
