Publicaciones en las que colabora con Leticia Elena Curiel Herrera (16)

2011

  1. Complications detection in treatment for bacterial endocarditis

    Advances in Intelligent and Soft Computing

  2. Genetic algorithms to simplify prognosis of endocarditis

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010

  1. A soft computing method for detecting lifetime building thermal insulation failures

    Integrated Computer-Aided Engineering, Vol. 17, Núm. 2, pp. 103-115

  2. A soft computing system for modelling the manufacture of steel components

    Soft Computing Methods for Practical Environment Solutions: Techniques and Studies (IGI Global), pp. 127-142

  3. Detection of heat flux failures in building using a soft computing diagnostic system

    Neural Network World, Vol. 20, Núm. 7, pp. 883-898

  4. Modelling of heat flux in building using soft-computing techniques

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009

  1. A soft computing system for modelling the manufacture of steel components

    Advances in Intelligent and Soft Computing, Vol. 57, pp. 601-609

  2. Improving energy efficiency in buildings using machine intelligence

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. The application of a two-step AI model to an automated pneumatic drilling process

    International Journal of Computer Mathematics, Vol. 86, Núm. 10-11, pp. 1769-1777

2008

  1. AI for modelling the laser milling of copper components

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Conventional methods and AI models for solving an industrial problem

    Proceedings - EMS 2008, European Modelling Symposium, 2nd UKSim European Symposium on Computer Modelling and Simulation

2005

  1. A cooperative unsupervised connectionist model to identify the optimal conditions of a pneumatic drill

    Advances in Soft Computing

  2. A proposal: distributed agent-based IDS to detect anomalous SNMP situations using unsupervised learning

    4th International workshop on practical applications of agents and multiagent systems: IWPAAMS 2005

  3. Collaborative agents for drilling optimisation tasks using an unsupervised connectionist model

    4th International workshop on practical applications of agents and multiagent systems: IWPAAMS 2005