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Generalized Decision Aggregation in Distributed Sensing Systems
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Activity Recognition in the Home Using Simple and Ubiquitous Sensors
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inferredcites →https://doi.org/10.1109/icdcsw.2002.1030829openalex-snapshot
The impact of data aggregation in wireless sensor networks
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The design and evaluation of a hybrid sensor network for cane-toad monitoring
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Distributed target classification and tracking in sensor networks
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Animal Behaviour Understanding using Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/mobhoc.2009.5336999openalex-snapshot
Hierarchical distributed data classification inwireless sensor networks
inferredcites →https://doi.org/10.1109/rtss.2010.29openalex-snapshot
System-Level Calibration for Fusion-Based Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/rtss.2012.83openalex-snapshot
Quality of Information Based Data Selection and Transmission in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/rtss.2013.29openalex-snapshot
Exploitation of Physical Constraints for Reliable Social Sensing
inferredcites →https://doi.org/10.1109/rtss.2014.19openalex-snapshot
Towards Cyber-Physical Systems in Social Spaces: The Data Reliability Challenge
inferredcites →https://doi.org/10.1109/tkde.2007.190745openalex-snapshot
Truth Discovery with Multiple Conflicting Information Providers on the Web
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Lightweight detection and classification for wireless sensor networks in realistic environments
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Truth discovery with multiple conflicting information providers on the web
inferredcites →https://doi.org/10.1145/1614320.1614338openalex-snapshot
Data fusion improves the coverage of wireless sensor networks
inferredcites →https://doi.org/10.1145/2070942.2070948openalex-snapshot
Hierarchical aggregate classification with limited supervision for data reduction in wireless sensor networks
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On truth discovery in social sensing
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Wireless sensor networks for habitat monitoring
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Data mining: concepts and techniques
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1109/tpds.2017.2712630openalex-snapshot
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