Information fusion for computer security: State of the art and open issues
Information Fusion
Integration techniques in intelligent operational management: a review
Knowledge-Based Systems
Using computational intelligence and parallelism to solve an industrial design problem
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
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From the Publisher:Routinely collected sensor data provide the first level of information for use in ensuring the optimal and safe operation of manufacturing plants. However, these numerical observations are seldom consistent, as they may be corrupted by measurement errors as well as by random and gross errors regardless of how well the instrumentation system is designed and operated. Erroneous data may compromise plant safety and lead to off-specification production. Although the reconciliation of process data has been studied for more than 20 years, Data Processing and Reconciliation for Chemical Process Operations provides the first unified treatment of this important subject. An introduction to the modern literature is presented together with in-depth coverage of the relevant theory of data reconciliation. The theory is illuminated by numerous examples from representative chemical processes, including detailed industrial case studies.