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hierarchical
Person
Class
Person
Publication
Programmes
prof. RNDr. Tomáš Bureš Ph.D.
Academic staff at Faculty of Mathematics and Physics
8 classes
171 publications
Classes
class
Concepts of Modern Programming Languages
NPRG014 |
Faculty of Mathematics and Physics
class
Programming in Python
NPRG065 |
Faculty of Mathematics and Physics
class
Python for practice
NPRG067 |
Faculty of Mathematics and Physics
class
Embedded and Real Time Systems
+1
NSWE001 |
Faculty of Mathematics and Physics
class
Software Engineering for Dependable Systems
NSWI054 |
Faculty of Mathematics and Physics
class
Start-up or corporation: Introduction to a career in IT
NSWI063 |
Faculty of Mathematics and Physics
class
Model-driven Development
NSWI164 |
Faculty of Mathematics and Physics
Publications
publication
Strengthening architectures of smart CPS by modeling them as runtime product-lines
2014 |
Faculty of Mathematics and Physics
publication
Property networks allowing oracle-based mode-change propagation in hierarchical components
2012 |
Faculty of Mathematics and Physics
publication
Introducing Support for Embedded and Real-time Devices into Existing Hierarchical Component System: Lessons Learned
2011 |
Faculty of Mathematics and Physics
publication
Supporting Real-Life Applications in Hierarchical Component Systems
2009 |
Faculty of Mathematics and Physics
publication
SOFA 2.0: Balancing Advanced Features in a Hierarchical Component Model
+2
2006 |
Faculty of Mathematics and Physics
publication
Dynamic Access Control in Industry 4.0 Systems
2023 |
Faculty of Mathematics and Physics
publication
Modeling Machine Learning Concerns in Collective Adaptive Systems
2023 |
Faculty of Mathematics and Physics
publication
Introducing Estimators-Abstraction for Easy ML Employment in Self-adaptive Architectures
2023 |
Faculty of Mathematics and Physics
publication
Towards a Reference Component Model of Edge-Cloud Continuum
2023 |
Faculty of Mathematics and Physics
publication
Architecture-based attack propagation and variation analysis for identifying confidentiality issues in Industry 4.0
2023 |
Faculty of Mathematics and Physics
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