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Janos Sztipanovits
First name
Janos
Last name
Sztipanovits
Kalli, S. ., & Sztipanovits, J. . (1989). Structural Adaptivity: New Way to Increase Intelligence and Flexibility of Patient Monitoring Systems. In
IFAC Symposium on Medical Instrumentation
.
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Padalkar, S. ., Karsai, G. ., & Sztipanovits, J. . (1988). Graph-Based Real-Time Fault Diagnostics. In
4th Conference on Artificial Intelligence for Space Applications
(p. 115–123). Huntsville, AL. (Original work published 2024)
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Sztipanovits, J. ., Karsai, G. ., & Purves, B. . (1988). Model-Based Approach for Intelligent Control. In
Fourth SPIE Conference on Space Station Automation
(p. 46–65). Cambridge, MA.
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Karsai, G. ., Sztipanovits, J. ., & Gero, J. S. (1988). Application of Knowledge-Based Techniques in Fourier-Infrared Spectroscopy. In
Artificial Intelligence in Engineering: Robotics and Processes
(p. 387–402). Elsevier.
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Kalli, S. ., & Sztipanovits, J. . (1988). Hierarchical Structure of Intelligent Patient Monitoring System. In
Finnish National Conference on Artificial Intelligence
(p. 123–128).
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Karsai, G. ., Biegl, C. ., Padalkar, S. ., Sztipanovits, J. ., Kawamura, K. ., Miyasaka, N. ., & Inui, M. . (1988). Knowledge-Based Approach to Real-Time Supervisory Control. In
Amercian Control Conference
(p. 620–626). Atlanta, GA.
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Blokland, W. ., & Sztipanovits, J. . (1988). Knowledge-Based Approach to Reconfigurable Control Systems. In
American Control Conference
(p. 1623–1628). Atlanta, GA.
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Biegl, C. ., Karsai, G. ., Sztipanovits, J. ., Bourne, J. ., Mushlin, R. ., & Harrison, C. . (1986). Experiment Design Language for Intelligent MRI Systems. In
8th Annual IEEE/EMBS Conference
(p. 803–807). Dallas, TX.
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Sztipanovits, J. ., Krishnamurthy, C. ., & Purves, B. . (1986). Programming Model for Coupled Intelligent Systems in Distributed Execution Environment. In
SPIE’s Cambridge Symposium on Advances in Intelligent Robotics Systems
(p. 40–48). Cambridge , MA.
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Sztipanovits, J. . (1986). Knowledge-Based Approach in Measurement and Instrumentation. In
3rd International Conference on Measurement in Clinical Medicine
(p. 29–33). Edinburgh, United Kingdom.
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