The Experts below are selected from a list of 9 Experts worldwide ranked by ideXlab platform

Michelynn Mcknight - One of the best experts on this subject based on the ideXlab platform.

  • not just another pretty Interface Expert information searching and retrieval
    Journal of Hospital Librarianship, 2008
    Co-Authors: Michelynn Mcknight
    Abstract:

    ABSTRACT Hospital librarians' practice includes the art and science of preparation for the search, use of complex tools for information retrieval, the search process, and the value-added delivery of results that completes information retrieval. They do focused searching for specific published information for themselves (for instance for evidence-based librarianship or collection development) or as intermediary searchers for their clients. Library schools' full semester courses in this subject usually are electives, so this article is an introduction for some and a review for others.

Orlando Contreras - One of the best experts on this subject based on the ideXlab platform.

  • Expert diagnostic using qualitative data and rule based inferential reasoning
    Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1998
    Co-Authors: Joaquim Melendezfrigola, Joan Colomerllinas, Josep Lluis De La Rosa, Orlando Contreras
    Abstract:

    A diagnostic structure based on modular Expert system architecture is presented in this paper. An illustrative example shows how Expert knowledge is used to deduce fault situations. In this example, qualitative representation of numerical variables of process is used to Interface Expert knowledge and process variables. The goal is to use this new information to deduce abnormal situations that can not be differentiate from the normal evolution of process dynamics using only data available from process. The evolution of process variables and abstracted information are used as inputs for the reasoning modules.

Cecilia Sosa Arias Peixoto - One of the best experts on this subject based on the ideXlab platform.

  • human computer Interface Expert system for agile methods
    Information Technology Interfaces, 2009
    Co-Authors: Cecilia Sosa Arias Peixoto
    Abstract:

    The Agile Method known as Scrum has been widely adopted in many companies due to its ability to handle scope changes and produce tangible deliverables at a fast rate. This article presents some limitations of Agile Methods and the results of using Scrum in a specific project. It was found that good practice in development of human computer Interfaces have been left aside in favor of reducing sprint duration. The developers almost always “listen to what customers say instead of watch what customers do.” This behavior has a tendency to negatively impact usability. This article proposes an Expert System to help developers design Human-Computer Interfaces.

Joaquim Melendezfrigola - One of the best experts on this subject based on the ideXlab platform.

  • Expert diagnostic using qualitative data and rule based inferential reasoning
    Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1998
    Co-Authors: Joaquim Melendezfrigola, Joan Colomerllinas, Josep Lluis De La Rosa, Orlando Contreras
    Abstract:

    A diagnostic structure based on modular Expert system architecture is presented in this paper. An illustrative example shows how Expert knowledge is used to deduce fault situations. In this example, qualitative representation of numerical variables of process is used to Interface Expert knowledge and process variables. The goal is to use this new information to deduce abnormal situations that can not be differentiate from the normal evolution of process dynamics using only data available from process. The evolution of process variables and abstracted information are used as inputs for the reasoning modules.

Joan Colomerllinas - One of the best experts on this subject based on the ideXlab platform.

  • Expert diagnostic using qualitative data and rule based inferential reasoning
    Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1998
    Co-Authors: Joaquim Melendezfrigola, Joan Colomerllinas, Josep Lluis De La Rosa, Orlando Contreras
    Abstract:

    A diagnostic structure based on modular Expert system architecture is presented in this paper. An illustrative example shows how Expert knowledge is used to deduce fault situations. In this example, qualitative representation of numerical variables of process is used to Interface Expert knowledge and process variables. The goal is to use this new information to deduce abnormal situations that can not be differentiate from the normal evolution of process dynamics using only data available from process. The evolution of process variables and abstracted information are used as inputs for the reasoning modules.