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Using Provenance in Sensor Network Applications for Fault-tolerance and Troubleshooting - Position Paper.

, and . SENSORNETS, page 47-52. SciTePress, (2012)

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PRONET: Network trust assessment based on incomplete provenance., , , , , , , , and . MILCOM, page 1213-1218. IEEE, (2011)A Learning Analytics Case Study: Relation of Students Learning Approach to Online Learning Environment Behaviours., , , and . MIDI, volume 1376 of Advances in Intelligent Systems and Computing, page 135-148. Springer, (2020)Human Activity Recognition Using Convolutional Neural Networks., , and . CIBCB, page 1-5. IEEE, (2021)Pose Estimation for Future Prediction of Falling., and . ICMLA, page 1312-1317. IEEE, (2022)DustDoctor: A self-healing sensor data collection system., , , , , , , , and . IPSN, page 127-128. IEEE, (2011)Locomotion-Transportation Recognition via LSTM and GPS Derived Feature Engineering from Cell Phone Data., , , and . UbiComp/ISWC Adjunct, page 359-362. ACM, (2021)911 4 COVID-19: Analyzing Impact of COVID-19 on 911 Call Behavior., , and . ICSCA, page 1-6. ACM, (2021)Understanding the Effects on Balance for Elite Platform Divers Using Machine Learning., , , , , , and . BigDataService, page 125-130. IEEE, (2021)What-if Analysis in Wireless Sensor Networks Using Workflow Provenance.. INC, page 49-53. Plymouth University, (2016)Using Artificial Intelligence to Detect Falls., , , , and . ICICT, page 41-44. IEEE, (2023)