… reinforcement learning for coordinated virtual machine … power consumption and improves
the energy efficiency of the underlying server system through dynamic consolidation and power…

… novel applications by consolidating CPS displaying with information-driven learning and
mining … Nevertheless, open mists offer clients of virtual machines (VMs) a highly flexible set of …

… ); (2) improving the energy efficiency of system service. Based on … On the use of hybrid
reinforcement learning for autonomic … Shares and utilities based power consolidation in virtualized …

… Future research is needed to overcome some limitations in this study and further explore
the issue of applying Text-to-Speech technology for its use in second language …

… level, and to consolidate the knowledge they had learned in prior stages of the model. …
on CTML and its application to second/foreign language (S/FL) learning, with the aim of …

… for acquisition, consolidation and ultimately … application can be found in both terms:
generalized, in terms of this research, will be the findings on the transference mechanism applied for …

… The framework established in this study can be applied to the LPBF process optimization
and mechanical properties manipulation of AlSi10Mg-based alloys and other additive …

… is the need to accelerate the process of consolidation of NIS into an integrated scientific, …
s "energy valley" in Groningen (the Netherlands), which became the center of energy saving …

… While Deep Reinforcement Learning (DRL)-based networked systems have shown a great
potential in various application scenarios, a key observation is that Deep Neural Networks (…

… We apply a systematic process to conduct this review, identifying, selecting and analysing
data from previous studies compiled in a final pool of papers (De Menezes and Kelliher, 2011)…