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Adaptive management of energy consumption using adaptive ru..:

, In: Proceedings of the 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems,

Bergen, Andreas ; Taherimakhsousi, Nina ; Müller, Hausi A. - p. 120-126 , 2015

Link: https://dl.acm.org/doi/10.5555/2821357.2821380

RT 
T1 <cTitle>Proceedings of the 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems</cTitle>: T1 <Title>Adaptive management of energy consumption using adaptive runtime models</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2821380&Exemplar=1&LAN=DE
				
A1 Bergen, Andreas
A1 Taherimakhsousi, Nina
A1 Müller, Hausi A.
PB IEEE Press
YR 2015
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Classification and regression trees
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Hardware
K1 Communication hardware, interfaces and storage
K1 Signal processing systems
K1 Networks
K1 Network performance evaluation
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Computer systems organization
K1 Dependable and fault-tolerant systems and networks
K1 Modeling and simulation
K1 Model development and analysis
K1 Robustness
K1 Hardware reliability
K1 Signal integrity and noise analysis
SP 120
OP 126
LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/2821357.2821380
DO https://dl.acm.org/doi/10.5555/2821357.2821380
SF ELIB - SuUB Bremen

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