Institute of Information Theory and Automation (UTIA)

Aktivität: Wissenschaftlicher GastaufenthaltBesuch einer externen akademischen EinrichtungForschung

Paolo Mercorelli - Gastwissenschaftler*in

Visiting Scientist Felloship at the Academy of Science of Prague with the Institute of Information Theory and Automation (UTIA) working on the Project entitled "Complex Motion Modeling and Control for Robotic Systems" dealing with applications of Bernstein polynomials and Bézier curves in cooperation with Ing. Květoslav Belda, Ph.D..
03.09.201807.09.2018

Zuletzt angesehen

Publikationen

  1. How difficult is the adaptation of POS taggers?
  2. New developments in extrusion of profiles with variable curvatures and cross-sections
  3. Mythos
  4. Formative assessment in inclusive mathematics education in secondary schools
  5. Typewriting Dynamics
  6. A model of a servo piezo mechanical hydraulic actuator and its regulation using repetitive control
  7. A Model Based Feedforward Regulator Improving PI Control of an Ice-Clamping Device Activated by Thermoelectric Cooler
  8. Commitment Strategies for Sustainability
  9. Weaving values, knowledge and context to care for human–nature relationships in protected areas
  10. As cast microstructures on the mechanical and corrosion behaviour of ZK40 modified with Gd and Nd additions
  11. Modeling High Aswan Dam Reservoir Morphology Using Remote Sensing to Reduce Evaporation
  12. Influence of Dy in solid solution on the degradation behavior of binary Mg-Dy alloys in cell culture medium
  13. The State of Multimedia Mass-Balance Modeling in Environmental science and decision-making
  14. Effect of erbium modification on the microstructure, mechanical and corrosion characteristics of binary Mg-Al alloys
  15. A switching model predictive control for overcoming a hysteresis effect in a hybrid actuator for camless internal combustion engines
  16. Mapping social values of ecosystem services: What is behind the map?
  17. Anonymized Firm Data under Test: Evidence from a Replication Study
  18. Privacy-Preserving Localization and Social Distance Monitoring with Low-Resolution Thermal Imaging and Deep Learning