Johan Reimann
Johan Reimann
GE Research
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Artificial intelligence/machine learning in manufacturing and inspection: A GE perspective
KS Aggour, VK Gupta, D Ruscitto, L Ajdelsztajn, X Bian, KH Brosnan, ...
MRS Bulletin 44 (7), 545-558, 2019
An intelligent approach to coordinated control of multiple unmanned aerial vehicles
G Vachtsevanos, L Tang, J Reimann
Proceedings of the American helicopter society 60th annual forum, Baltimore, MD, 2004
Design of intentional backdoors in sequential models
Z Yang, N Iyer, J Reimann, N Virani
arXiv preprint arXiv:1902.09972, 2019
Using condition based maintenance to improve the profitability of performance based logistic contracts
J Reimann, G Kacprzynski, D Cabral, R Marini
Annual Conference of the PHM Society 1 (1), 2009
Hierarchical decomposition approach for pursuit-evasion differential game with multiple players
J Ge, L Tang, J Reimann, G Vachtsevanos
2006 IEEE Aerospace Conference, 7 pp., 2006
Suboptimal approaches to multiplayer pursuit-evasion differential games
J Ge, L Tang, J Reimann, G Vachtsevanos
AIAA Guidance, Navigation, and Control Conference and Exhibit, 6786, 2006
Deep learning for imputation of industrial multivariate time-series
JM Reimann
US Patent App. 15/195,347, 2017
Modeling and Control of Unmanned Aerial Vehicles: Current Status and Future Directions
G Vachtsevanos, P Antsaklis, KP Valavanis
Modeling and Control of Complex Systems, 293-312, 2007
UAVs in urban operations: target interception and containment
J Reimann, G Vachtsevanos
Journal of Intelligent and Robotic Systems 47, 383-396, 2006
Prognostics in the Control Loop.
L Tang, GJ Kacprzynski, K Goebel, J Reimann, ME Orchard, A Saxena, ...
AAAI Fall Symposium: Artificial Intelligence for Prognostics, 129-136, 2007
Intelligent control of unmanned aerial vehicles for improved autonomy
P Jones, B Ludington, J Reimann, G Vachtsevanos
European journal of control 13 (2-3), 320-333, 2007
Application of symbolic regression to electrochemical impedance spectroscopy data for lubricating oil health evaluation
C Byington, N Mackos, G Argenna, A Palladino, J Reimann, J Schmitigal
Annual Conference of the PHM Society 4 (1), 2012
Modeling and control of unmanned aerial vehicles
G Vachtsevanos, B Ludington, J Reimann, P Antsaklis, K Valavanis
may, 2014
Target tracking with unmanned aerial vehicles: From single to swarm vehicle autonomy and intelligence
B Ludington, J Reimann, G Vachtsevanos, I Barlas
2006 14th Mediterranean Conference on Control and Automation, 1-6, 2006
Method and system to automate the maintenance of data-driven analytic models
PP Bonissone, NS Iyer, F Xue, JM Reimann, P Ardis
US Patent 9,904,540, 2018
Target tracking and adversarial reasoning for unmanned aerial vehicles
B Ludington, J Reimann, G Vachtsevanos
2007 IEEE Aerospace Conference, 1-17, 2007
Using multiplayer differential game theory to derive efficient pursuit-evasion strategies for unmanned aerial vehicles
JM Reimann
Georgia Institute of Technology, 2007
Artificial intelligence enabled material behavior prediction
T Hanlon, J Reimann, MA Soare, A Singhal, J Grande, M Edgar, ...
arXiv preprint arXiv:1906.05270, 2019
Automated prognostics systems and methods
R Patrick, S Vittal, JM Reimann
US Patent 9,791,352, 2017
System and method using generative model to supplement incomplete industrial plant information
JM Reimann, CD Johnson, D Wu, SC Evans, RE Kleinhample, ...
US Patent App. 14/322,488, 2016
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