Propagation-aware Knowledge Extraction for Fault Detection in Wireless Sensor Networks via RF Link Quality, Text, and Data Mining
Wireless sensor networks (WSNs) form the foundation of data-driven environments in contemporary industries, agriculture, healthcare, and smart cities. However, early fault identification in WSNs remains a persistent challenge due to severe propagation conditions, the uncertainty of environmental fac...
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| Other Authors: | , , , , , |
| Format: | article |
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2025
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| Online Access: | http://hdl.handle.net/11675/14496 https: |
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