Search Results - "Champagne, Lance E."

Simulating MQ-9 Aircrew Training to Determine Throughput, Identify Bottlenecks, and Optimize Manning Levels.

Authors: Champagne, Lance E. Talafuse, Thomas P. Gilts, Erika E.

Source: Military Operations Research. 2024, Vol. 29 Issue 2, p5-17. 13p.

Applying sequential bifurcation and feed-forward simulation to reduce the prescriptive response time of a digital twin.

Authors: Walton, Ryan B. Ciarallo, Frank W. Champagne, Lance E.

Source: International Journal of Production Economics; Feb2026, Vol. 292, pN.PAG-N.PAG, 1p

Parameterization and Multiobjective Optimization of Range and Loiter Times for Multiple-Leg, Turbojet Aircraft Mission Profiles.

Authors: Bramblett, Lauren M. Champagne, Lance E. Lunday, Brian J.

Source: Military Operations Research. 2021, Vol. 26 Issue 1, p37-57. 21p.

Validating Multi-Resolution Aircraft Models with Probabilities of Agreement.

Authors: Ledwith, Matthew C. Hill, Raymond R. Champagne, Lance E. et al.

Source: Military Operations Research. 2024, Vol. 29 Issue 2, p37-51. 15p.

Approaches to improve preprocessing for Latent Dirichlet Allocation topic modeling.

Authors: Zimmermann, Jamie Champagne, Lance E. Dickens, John M. et al.

Source: Decision Support Systems; Oct2024, Vol. 185, pN.PAG-N.PAG, 1p

A unified digital twin approach incorporating virtual, physical, and prescriptive analytical components to support adaptive real-time decision-making.

Authors: Walton, Ryan B. Ciarallo, Frank W. Champagne, Lance E.

Source: Computers & Industrial Engineering; Jul2024, Vol. 193, pN.PAG-N.PAG, 1p