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Machine Learning-based Energy Optimisation in Smart City In..:

, In: Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing,

Samikwa, Eric ; Schärer, Jakob ; Braun, Torsten. - p. 364-369 , 2023

Link: https://dl.acm.org/doi/10.1145/3565287.3616527

RT 
T1 <cTitle>Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing</cTitle>: T1 <Title>Machine Learning-based Energy Optimisation in Smart City Internet of Things</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3616527&Exemplar=1&LAN=DE
				
A1 Samikwa, Eric
A1 Schärer, Jakob
A1 Braun, Torsten
A1 Di Maio, Antonio
PB ACM
YR 2023
K1 machine learning
K1 internet of things
K1 energy optimisation
K1 smart sensors
K1 temperature monitoring
K1 Information systems
K1 Information systems applications
K1 Spatial-temporal systems
K1 Sensor networks
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Artificial intelligence
K1 Distributed artificial intelligence
K1 Hardware
K1 Power and energy
K1 Thermal issues
K1 Temperature monitoring
SP 364
OP 369
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3565287.3616527
DO https://dl.acm.org/doi/10.1145/3565287.3616527
SF ELIB - SuUB Bremen

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