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Quantum Computing and Machine Learning for Efficiency of Ma..:

, In: 2022 Systems and Information Engineering Design Symposium (SIEDS),

Hamdy, Ibrahim H. ; St. John, Maxwell J. ; Jennings, Sidney W.... - p. 369-374 , 2022

Link: https://doi.org/10.1109/SIEDS55548.2022.9799399

RT 
T1 <cTitle>2022 Systems and Information Engineering Design Symposium (SIEDS)</cTitle>: T1 <Title>Quantum Computing and Machine Learning for Efficiency of Maritime Container Port Operations</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9799399&Exemplar=1&LAN=DE
				
A1 Hamdy, Ibrahim H.
A1 St. John, Maxwell J.
A1 Jennings, Sidney W.
A1 Magalhaes, Tiago R.
A1 Roberts, James H.
A1 Polmateer, Thomas L.
A1 Manasco, Mark C.
A1 Williams, Joi Y.
A1 Hendrickson, Daniel C.
A1 Eddy, Timothy L.
A1 Loose, Davis C.
A1 Chowdhury, Mashrur
A1 Lambert, James H.
YR 2022
K1 Rails
K1 Quantum computing
K1 Processor scheduling
K1 Pandemics
K1 Neural networks
K1 Reinforcement learning
K1 Containers
K1 logistics systems
K1 reinforcement learning
K1 energy
K1 emissions
K1 container allocation
K1 shipping container
K1 systems resilience
K1 network optimization
SP 369
OP 374
LK http://dx.doi.org/https://doi.org/10.1109/SIEDS55548.2022.9799399
DO https://doi.org/10.1109/SIEDS55548.2022.9799399
SF ELIB - SuUB Bremen

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