Search Results - "Marko, K.A."
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1
Quantitative FMEA automation
Published in Annual Reliability and Maintainability Symposium (1997)“…By providing a structured approach for considering potential failures and their effects, failure mode and effects analysis (FMEA) is an important process…”
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Conference Proceeding
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2
Immune Systems Inspired Approach to Anomaly Detection and Fault Diagnosis for Engines
Published in 2007 International Joint Conference on Neural Networks (01-08-2007)“…As more electronic devices are integrated into automobiles to improve the reliability, drivability and maintainability, automotive diagnosis becomes…”
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Conference Proceeding -
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Neural network application to comprehensive engine diagnostics
Published in [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics (1992)“…The authors examine the application of trainable classification systems to the problem of diagnosing faults in engines at the manufacturing plant. It is…”
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Conference Proceeding -
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Application of genetic programming to control of vehicle systems
Published in Proceedings of the Intelligent Vehicles `92 Symposium (1992)“…The development of sophisticated and complex 'intelligent' systems often requires effective means to process information and control complicated systems. An…”
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Conference Proceeding -
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Custom VLSI ASIC for automotive applications with recurrent networks
Published in 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227) (1998)“…Demands on the performance of vehicle control and diagnostic systems are steadily increasing as a consequence of stiff global competition and government…”
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Conference Proceeding -
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Measurement of the Vacuum Decay Rate of Orthopositronium
Published in Physical review letters (01-01-1976)Get full text
Journal Article -
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Automotive diagnostics using trainable classifiers: statistical testing and paradigm selection
Published in 1990 IJCNN International Joint Conference on Neural Networks (1990)“…An analysis is presented of the requirements for developing a practical trainable classifier to detect and identify faults in vehicle powertrain systems. An…”
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Conference Proceeding