ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components (ACSOS 2022 - Artifacts)

Mon 19 - Fri 23 September 2022 virtual

Who

Michal Töpfer, Milad Abdullah, Martin Kruliš, Tomas Bures, Petr Hnětynka

Track

ACSOS 2022 Artifacts

Time Zone

The program is currently displayed in (UTC) Coordinated Universal Time.

Use conference time zone: (UTC) Coordinated Universal TimeSelect other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

Save

When

Wed 21 Sep 2022 19:15 - 20:45 at Poster Room - Artifacts in ACSOS and Posters and Demos

Michal Töpfer

Charles University

Czechia

Milad Abdullah

Charles University

Czechia

Martin Kruliš

Charles University

Czechia

Tomas Bures

Charles University, Czech Republic

Czechia

Petr Hnětynka

Charles University

Czechia

Time Zone

The program is currently displayed in (UTC) Coordinated Universal Time.

Use conference time zone: (UTC) Coordinated Universal TimeSelect other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

Display full programSpecify a time band

Save

Session Program

Wed 21 Sep
Displayed time zone: (UTC) Coordinated Universal Time change

19:15 - 20:45	Artifacts in ACSOS and Posters and DemosPosters and Demos / Artifacts at Poster Room

19:15 90m Poster		Towards Adaptive, Real-time Monitoring of Food Quality Using Smart Sensors Posters and Demos Elia Henrichs University of Hohenheim, Germany, Christian Krupitzer University of Hohenheim, Germany File Attached
19:15 90m Poster		Specifying Reactive Robotic Applications With Reference Attribute Motion Grammars Posters and Demos Johannes Mey Technische Universität Dresden, René Schöne Technische Universität Dresden, Ariel Podlubne , Uwe Aßmann TU Dresden, Germany Pre-print File Attached
19:15 90m Poster		Towards Resilient Execution of Adaptation in Decentralized Self-Adaptive Software Systems Posters and Demos Daniel Matusek TU Dresden
19:15 90m Other		ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components Artifacts Michal Töpfer Charles University, Milad Abdullah Charles University, Martin Kruliš Charles University, Tomas Bures Charles University, Czech Republic, Petr Hnětynka Charles University