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Low-Power Footprint Inference with a Deep Neural Network of..:

, In: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing,

Silva, Pedro ; Rocha, Rui - p. 800-807 , 2023

Link: https://dl.acm.org/doi/10.1145/3555776.3577681

RT 
T1 <cTitle>Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing</cTitle>: T1 <Title>Low-Power Footprint Inference with a Deep Neural Network offloaded to a Service Robot through Edge Computing</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3577681&Exemplar=1&LAN=DE
				
A1 Silva, Pedro
A1 Rocha, Rui
PB ACM
YR 2023
K1 service robot
K1 edge computing
K1 deep NN
K1 system on module
K1 ROS
K1 Computer systems organization
K1 Embedded and cyber-physical systems
K1 Robotics
K1 Robotic autonomy
K1 Architectures
K1 Other architectures
K1 Neural networks
K1 Human-centered computing
K1 Ubiquitous and mobile computing
K1 Ubiquitous and mobile computing theory, concepts and paradigms
K1 Ubiquitous computing
K1 Ubiquitous and mobile computing systems and tools
K1 Computing methodologies
K1 Artificial intelligence
K1 Distributed artificial intelligence
K1 Mobile agents
K1 Knowledge representation and reasoning
K1 Cognitive robotics
SP 800
OP 807
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3555776.3577681
DO https://dl.acm.org/doi/10.1145/3555776.3577681
SF ELIB - SuUB Bremen

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