Results 221 to 230 of about 17,273 (262)

A reinforcement learning-guided interpretable method for postoperative sepsis prediction with Hilbert-Schmidt Independence Criterion. [PDF]

Front Big Data
Zhong K, Chen H, Sun Q, Wang P, Liu Z, Chen Y.   +5 more
europepmc   +1 more source

Policy lessons regarding medical security for rare diseases inChina: Insights from Zhejiang Province through the multiplestreams framework. [PDF]

Intractable Rare Dis Res
Wang M, Rong C, Wang P.
europepmc   +1 more source

Precise Time Synchronization in Packet Networks Using Deep Learning for Future Intelligent Transportation. [PDF]

Sensors (Basel)
Deng H, Li H, Tian Z, Tian J, Du W.
europepmc   +1 more source

D3PG-Light: A Lightweight and Stable Resource Scheduling Framework for UAV-Integrated Sensing, Communication, and Computation Systems. [PDF]

Sensors (Basel)
Cheng Q, Wu W, Zhou Y.
europepmc   +1 more source

Evaluation of the implementation of the EIP-AGRI Multi Actor Approach in H2020 Multi Actor Projects and Thematic Networks

, 2022
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A multi-actor analysis of the QoE environment

2010 9th Conference of Telecommunication, Media and Internet, 2010
The concept of Quality of Experience (QoE) comprises quality as perceived by the end user. The implementation of technologies that allow to provide a high and constant level of QoE involves an extensive network of actors, each having its own strategy and chasing different goals.
Tobias Heger, Thomas Monath, Mario Kind
openaire   +1 more source

Multi‐actor systems and ethics

International Transactions in Operational Research, 2010
AbstractThis paper looks at implicit and explicit ethical aspects of research and decision making in complex issues that are characterized by combined systems and multi‐actor complexities. These social–technical issues, called multi‐actor systems, are so complex that researchers and decision makers need to reduce these complexities.
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Multi-Actor System

1984
A multi-actor system is a combination of two or more plan generation and plan execution systems (actors) which act and intercommunicate in a shared task environment.
Alan Bundy, Lincoln Wallen
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Multi-Actor Value Modeling for Federated Systems

IEEE Systems Journal, 2018
Design methods for federated systems must consider local incentives and interactive effects among independent decision-makers. This paper extends value-centric design methodology to multi-actor cases by using game-theoretic principles. Federated systems are represented as a Stag Hunt game where players choose between independent (noncooperative) and ...
Paul T. Grogan, Koki Ho, Alessandro Golkar, Olivier L. de Weck   +3 more
openaire   +1 more source