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MiA-CODER: A Multi-Intelligent Agent-Enabled Reinforcement Learning for Accurate Coverage Hole Detection and Recovery in Unequal Cluster-Tree-Based QoSensing WSN.

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Title: MiA-CODER: A Multi-Intelligent Agent-Enabled Reinforcement Learning for Accurate Coverage Hole Detection and Recovery in Unequal Cluster-Tree-Based QoSensing WSN.
Authors: Philco, Luis Orlando1, luis.philco@cu.ucsg.edu.ec, Marrone, Luis2, luis.philco@cu.ucsg.edu.ec, Estupiñan, Emily1, luis.philco@cu.ucsg.edu.ec
Source: Applied Sciences (2076-3417); Dec2021, Vol. 11 Issue 23, p11134, 25p
Database: Applied Science & Technology Source
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        Value: 10.3390/app112311134
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        Text: English
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        PageCount: 25
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      – TitleFull: MiA-CODER: A Multi-Intelligent Agent-Enabled Reinforcement Learning for Accurate Coverage Hole Detection and Recovery in Unequal Cluster-Tree-Based QoSensing WSN.
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            NameFull: Philco, Luis Orlando
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            NameFull: Marrone, Luis
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              Text: Dec2021
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              Y: 2021
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              Value: 11
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              Value: 23
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