Reasoning about Uncertain Contexts in Pervasive Computing Environments
By Anand Ranganathan, Jalal Al-Muhtadi, Roy H. Campbell. IEEE pervasive computing, 2004
365 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/b960bce3e61b40f59f04322f4183f9fbbbe55868
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Jadwiga Indulska
- Karen Henricksen
- Abdulmotaleb El Saddik
- Kazi Masudul Alam
- Daniela Nicklas
- Oliver Brdiczka
- Claudio Bettini
- Anand Ranganathan
In Computer Vision and Pattern Recognition
- Jadwiga Indulska
- Karen Henricksen
- Daniela Nicklas
- Oliver Brdiczka
- Claudio Bettini
- Anand Ranganathan
- Daniele Riboni
- Abdulmotaleb El Saddik
In Signal Processing
Citations in the corpus
- C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems (2017, background): “The probabilistic framework of Bayesian networks (BNs) is a popular choice to model uncertainty of context awareness for a long time [34] [35] [36], whichmotivated us to select BNs to design the smart connection controller.”
- A survey of context modelling and reasoning techniques (2010, methodology): “[67] also developed an uncertainty model based on a predicate representation of contexts, where each context predicate is associated with a confidence value.”
- Context-aware systems: A literature review and classification (2009, background): “…(2005), Drakatos, Pissinou, Douligeris, and Makki (2007), Ladd, Bekris, Rudys, Kavraki, and Wallach (2005), Niemegeers and Heemstra De Groot (2005), Ranganathan, Al-Muhtadi, and Campbell (2004), Sajal, Nirmalya, and Abhishek (2006), Samaan and Karmouch (2005), Satoh (2003), Smailagic and Kogan…”