Real-time RDF adaptation model for smart human-care querying in IoT based mobile applications
Author:
Affiliation:
1. National Textile University, Faisalabad, Pakistan
2. Air University, Multan, Pakistan
Funder
Higher Education Commision, Pakistan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3231053.3231128
Reference14 articles.
1. CityBench: A Configurable Benchmark to Evaluate RSP Engines Using Smart City Datasets
2. Richard Cyganiak David Wood Markus Lanthaler Graham Klyne Jeremy J Carroll and Brian McBride. 2014. RDF 1.1 concepts and abstract syntax. W3C recommendation 25 02 (2014). Richard Cyganiak David Wood Markus Lanthaler Graham Klyne Jeremy J Carroll and Brian McBride. 2014. RDF 1.1 concepts and abstract syntax. W3C recommendation 25 02 (2014).
3. Real-time imaging-based assessment model for improving teaching performance and student experience in e-learning
4. IoT-based students interaction framework using attention-scoring assessment in eLearning
5. Sohail Jabbar Mudassar Ahmad Kaleem Razzaq Malik Shehzad Khalid Junaid Chaudhry and Omar Aldabbas. 2018. Designing an Energy-Aware Mechanism for Lifetime Improvement of Wireless Sensor Networks: a Comprehensive Study. Mobile Networks and Applications (2018) 1--14. 10.1007/s11036-018-1021-3 Sohail Jabbar Mudassar Ahmad Kaleem Razzaq Malik Shehzad Khalid Junaid Chaudhry and Omar Aldabbas. 2018. Designing an Energy-Aware Mechanism for Lifetime Improvement of Wireless Sensor Networks: a Comprehensive Study. Mobile Networks and Applications (2018) 1--14. 10.1007/s11036-018-1021-3
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