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The many approaches for self-adaptation available nowadays employ different mechanisms for the aforementioned tasks.
Approaches for self-regulation of coating thermal conductivity, heat flow, and thermal spike mitigations are discussed in the context of surface structure evolution and phase transitions.
Decentralised approaches for self-adaptation use several feedback loops (or several of its components) to control a system (typically complex and distributed) (Vromant et al. 2011; Weyns et al. 2013).
Most of the approaches for self-adaptive systems implement a reconfiguration service that receives as input the list of all possible configurations and the plans to switch between them.
The RANZCP guidelines provide some additional details with regard to recommended treatment approaches for self-harm than the NICE guidelines.
In this work, we propose a learning-based approach for self-optimization in SON deployments.
Web-based self-management programs offer a novel approach for self-insured employers seeking to improve and maintain employee health.
This paper proposes an approach for self-deploying services within collaborative sessions composed of remote heterogeneous user nodes.
This article emphasises on the development of a straight forward approach for self-sensing shape memory alloy.
In this paper, we describe an observation-based approach for self-managing web servers that can adapt to changing workloads while maintaining the QoS requirements of different classes.
The mechanism has been designed by combining a top-down design approach for self-organizing resource-flow system and a systemic development framework for the development of decentralized, distributed coordination processes.
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