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Analyzing Distributed Deep Neural Network Deployment on Edge and Cloud Nodes in IoT Systems.

, , , , and . EDGE, page 59-66. IEEE, (2020)

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Cloud, Edge, or Both? Towards Decision Support for Designing IoT Applications., , and . IoTSMS, page 155-162. IEEE, (2018)A new approach for multi-source data prediction in Wireless Sensor Networks: Collaborative filtering., , , and . WCSP, page 1-6. IEEE, (2012)A transfer learning metamodel using artificial neural networks applied to natural convection flows in enclosures., and . CoRR, (2020)FOMA: Flexible overlay multi-path data aggregation in wireless sensor networks., , , and . ISCC, page 508-511. IEEE Computer Society, (2012)Edge Computing Simulators for IoT System Design: An Analysis of Qualities and Metrics., , , and . Future Internet, 11 (11): 235 (2019)PDC: Prediction-based data-aware clustering in wireless sensor networks., , , , and . J. Parallel Distributed Comput., (2015)Quality attributes in edge computing for the Internet of Things: A systematic mapping study., , and . Internet Things, (2021)Fast Aggregation Scheduling in Wireless Sensor Networks., , , and . IEEE Trans. Wirel. Commun., 14 (6): 3402-3414 (2015)Analyzing Distributed Deep Neural Network Deployment on Edge and Cloud Nodes in IoT Systems., , , , and . EDGE, page 59-66. IEEE, (2020)