Search Results - "Hammell, R.J."

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  1. 1

    Development of a decision system to aid project managers in determining information technology project status by Barnes, A.P., Hammell, R.J.

    “…In the project management environment, it is critical to know how the project is performing from the viewpoint of scope, schedule, cost, and other constraints…”
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    Conference Proceeding
  2. 2

    Knowledge visualization to enhance human-agent situation awareness within a computational Recognition-Primed Decision system by Hanratty, T., Yen, J., McNeese, M., Sooyoung Oh, Hyun-Woo Kim, Minotra, D., Strater, L., Cuevas, H., Colombo, D., Hammell, R.J.

    “…Recent operations in Iraq and Afghanistan have confirmed that in order to achieve effective Network-Centric Operations (NCO), innovative enhancement to…”
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    Conference Proceeding
  3. 3

    A Fuzzy Associative Memory for the Classification of Chemical Warfare Agent Simulants by Hammell, R.J., Schafer, R.J.

    “…This paper presents the development and testing of a fuzzy associative memory (FAM) architecture for use in the classification of chemical warfare agent…”
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    Conference Proceeding
  4. 4

    Adaptivity in a hierarchical fuzzy model by Hammell, R.J., Sudkamp, T.

    “…A hierarchical architecture for fuzzy modeling and inference has been developed to allow adaptation based on system performance feedback. A general adaptive…”
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    Conference Proceeding
  5. 5

    Utilizing Concept Maps to Improve Human-Agent Collaboration Within a Recognition-Primed Decision Model by Hanratty, T., Hammell, R.J., Yen, J., Xiaocong Fan

    “…In our ever expanding network-centric, service- oriented environments, human-agent collaboration is becoming increasingly more important to the success of…”
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    Conference Proceeding
  6. 6

    A prototype knowledge-based assistant for acquisition strategy development by Hammell, R.J., Cross, S.E.

    “…An application of knowledge-based system techniques to the problem of developing acquisition strategies for government procurements is reported. The need for…”
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    Conference Proceeding
  7. 7

    Discovering imprecise temporal associations by Sudkamp, T., Hammell, R.J.

    “…This paper examines the discovery of associations defined by fuzzy temporal predicates in time-tagged information from multiple distributed data sources. The…”
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    Conference Proceeding
  8. 8

    Interpolation, completion, and learning fuzzy rules by Sudkamp, T., Hammell, R.J.

    “…Fuzzy inference systems and neural networks both provide mathematical systems for approximating continuous real-valued functions. Historically, fuzzy rule…”
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    Journal Article
  9. 9

    Soft computing algorithms applied to the segmentation of nerve cell images by Schafer, R.J., Hammell, R.J.

    “…Microscopic images of stained nerve cells are routinely analyzed during neuropathological research. Manual analysis relies heavily on operator knowledge, and…”
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    Conference Proceeding
  10. 10

    Scouting for imprecise temporal associations to support effectiveness of drugs during clinical trials by Vincenti, G., Hammell, R.J., Trajkovski, G.

    “…The field of data mining is dedicated to the analysis of data to find underlying connections and the discovery of new patterns. This research targets the…”
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    Conference Proceeding
  11. 11

    Data mining for imprecise temporal associations by Vincenti, G., Hammell, R.J., Trajkovski, G.

    “…The field of data mining is dedicated to the analysis of data in order to find underlying connections and the discovery of new patterns. Since the volume of…”
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    Conference Proceeding
  12. 12

    A fuzzy model for learning and adaptivity by Hammell, R.J., Sudkamp, T.

    “…Fuzzy models have been designed to represent approximate or imprecise relationships in complex systems and have been successfully employed in control systems,…”
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    Conference Proceeding
  13. 13

    Learning algorithms and dimensionality by Sudkamp, T., Hammell, R.J.

    “…Approximation theory based on fuzzy sets provides a tool for modeling complex systems for which only an imprecise or approximate specification is available. In…”
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    Conference Proceeding
  14. 14

    Granularity and specificity in fuzzy function approximation by Sudkamp, T., Hammell, R.J.

    “…This paper describes some preliminary investigations into the relationships between granularity and specificity in fuzzy rule bases. It proposes a strategy for…”
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    Conference Proceeding
  15. 15