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Reinforcement learning-based IoT sensor scheduling strategy..:

, In: 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics),

Zhang, Yuan ; Wu, Hengshan ; Yi, Lingzhi... - p. 93-100 , 2022

Link: https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartD..

RT 
T1 <cTitle>2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)</cTitle>: T1 <Title>Reinforcement learning-based IoT sensor scheduling strategy for bridge structure health monitoring</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9903107&Exemplar=1&LAN=DE
				
A1 Zhang, Yuan
A1 Wu, Hengshan
A1 Yi, Lingzhi
A1 Luo, Bin
A1 Qiu, Yun
A1 Tang, Feilong
YR 2022
K1 Bridges
K1 Adaptation models
K1 Social computing
K1 Job shop scheduling
K1 Reinforcement learning
K1 Energy efficiency
K1 Sensors
K1 Internet of Things (IoT)
K1 Bridge Structural Health Monitoring (BSHM)
K1 Fisher Information Matrix
K1 Reinforcement Learning
SP 93
OP 100
LK http://dx.doi.org/https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00052
DO https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00052
SF ELIB - SuUB Bremen

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