Browsing Publikační činnost ČVUT by Author "Bukovský I."

Now showing items 1-4 of 4

    • Cognitive and Neural Aspects in Robotics with Applications 

      Author: Gupta M.M.; Homma N.; Hou Z.-G.; Bukovský I.
      (Hindawi Publishing Corporation, 2010)
      This editorial introduces the special issue of the Journal of Robotics containing 18 invited research papers authored by international researchers and is devoted to various aspects of cognition, perception, vision and ...

    • A Fast Neural Network Approach to Predict Lung Tumor Motion during Respiration for Radiation Therapy Applications 

      Author: Bukovský I.; Homma N.; Kei I.; Cejnek M.; Sláma M.; Beneš P.; Bíla J.
      (Hindawi Publishing Corporation, 2015)
      During radiotherapy treatment for thoracic and abdomen cancers, for example, lung cancers, respiratory motion moves the target tumor and thus badly affects the accuracy of radiation dose delivery into the target. A real-time ...

    • How Can Brain Learn to Control a Nonholonomic System? 

      Author: Homma N.; Kato S.; Goto T.; Bukovský I.; Kawashima R.; Yoshizawa M.
      (Hindawi Publishing Corporation, 2010)
      Humans can often conduct both linear and nonlinear control tasks after a sufficient number of trials, even if they initially do not have sufficient knowledge about the system's dynamics and the way to control it. Theoretically, ...

    • Novelty detection based on learning entropy 

      Author: Dohnal G.D.; Bukovský I.
      (John Wiley & Sons, 2020)
      The Approximate Individual Sample Learning Entropy is based on incremental learning of a predictor x(k+h)=f(x(k),w), where x(k)is an input vector of a given size at time k, w is a vector of weights (adaptive parameters), ...