Robust, multi-objective optimization for the military medical evacuation location-allocation problem PR Jenkins, BJ Lunday, MJ Robbins Omega 97, 102088, 2020 | 82 | 2020 |
Approximate dynamic programming for military medical evacuation dispatching policies PR Jenkins, MJ Robbins, BJ Lunday INFORMS Journal on Computing 33 (1), 2-26, 2021 | 50 | 2021 |
Approximate dynamic programming for the aeromedical evacuation dispatching problem: Value function approximation utilizing multiple level aggregation MJ Robbins, PR Jenkins, ND Bastian, BJ Lunday Omega 91, 102020, 2020 | 39 | 2020 |
Examining military medical evacuation dispatching policies utilizing a Markov decision process model of a controlled queueing system PR Jenkins, MJ Robbins, BJ Lunday Annals of Operations Research 271, 641-678, 2018 | 28 | 2018 |
Approximate dynamic programming for the military aeromedical evacuation dispatching, preemption-rerouting, and redeployment problem PR Jenkins, MJ Robbins, BJ Lunday European Journal of Operational Research 290 (1), 132-143, 2021 | 27 | 2021 |
Predicting success in United States Air Force pilot training using machine learning techniques PR Jenkins, WN Caballero, RR Hill Socio-Economic Planning Sciences 79, 101121, 2022 | 18 | 2022 |
An approximate dynamic programming approach for solving an air combat maneuvering problem JB Crumpacker, MJ Robbins, PR Jenkins Expert Systems with Applications 203, 117448, 2022 | 14 | 2022 |
Comparison of machine learning techniques to optimize the analysis of plutonium surrogate material via a portable LIBS device AP Rao, PR Jenkins, JD Auxier II, MB Shattan Journal of Analytical Atomic Spectrometry 36 (2), 399-406, 2021 | 14 | 2021 |
Analytical comparisons of handheld LIBS and XRF devices for rapid quantification of gallium in a plutonium surrogate matrix AP Rao, PR Jenkins, JD Auxier, MB Shattan, AK Patnaik Journal of Analytical Atomic Spectrometry 37 (5), 1090-1098, 2022 | 13 | 2022 |
Aerial MEDEVAC operations PR Jenkins, BJ Lunday, MJ Robbins Phalanx 53 (1), 63-66, 2020 | 13 | 2020 |
Using markov decision processes with heterogeneous queueing systems to examine military medevac dispatching policies PR Jenkins Air Force Institute of Technology, 2017 | 13 | 2017 |
Rapid quantitative analysis of trace elements in plutonium alloys using a handheld laser-induced breakdown spectroscopy (LIBS) device coupled with chemometrics and machine learning AP Rao, PR Jenkins, DM Vu, JD Auxier II, AK Patnaik, MB Shattan Analytical Methods 13 (30), 3368-3378, 2021 | 12 | 2021 |
Optimising aerial military medical evacuation dispatching decisions via operations research techniques PR Jenkins, MJ Robbins, BJ Lunday BMJ Mil Health 169 (e1), e90-e92, 2023 | 11 | 2023 |
Artificial Intelligence for Medical Evacuation in Great-Power Conflict PR Jenkins, BJ Lunday, MJ Robbins War on the Rocks, 2020 | 10 | 2020 |
Development of advanced machine learning models for analysis of plutonium surrogate optical emission spectra AP Rao, PR Jenkins, JD Auxier, MB Shattan, AK Patnaik Applied Optics 61 (7), D30-D38, 2022 | 9 | 2022 |
Analyzing the impact of triage classification errors on military medical evacuation dispatching policies ES Graves, PR Jenkins, MJ Robbins 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 9 | 2021 |
Toward automated instructor pilots in legacy air force systems: Physiology-based flight difficulty classification via machine learning WN Caballero, N Gaw, PR Jenkins, C Johnstone Expert Systems with Applications 231, 120711, 2023 | 8 | 2023 |
Strategic Location and Dispatch Management of Assets in a Military Medical Evacuation Enterprise PR Jenkins Air Force Institute of Technology, 2019 | 7 | 2019 |
Machine learning in analytical spectroscopy for nuclear diagnostics AP Rao, PR Jenkins, RE Pinson, JD Auxier II, MB Shattan, AK Patnaik Applied Optics 62 (6), A83-A109, 2023 | 6 | 2023 |
An air force pilot training recommendation system using advanced analytical methods NC Forrest, RR Hill, PR Jenkins INFORMS Journal on Applied Analytics 52 (2), 198-209, 2022 | 6 | 2022 |