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Found 3 papers, 1 papers with code
TLETA: Deep Transfer Learning and Integrated Cellular Knowledge for Estimated Time of Arrival Prediction
Importantly, our transfer models only train the last layers to map the transferred knowledge, that reduces the training time significantly.
IoT Data Discovery: Routing Table and Summarization Techniques
Specifically, as the first in the field, this paper investigates routing table designs and various compression techniques to support effective and space-efficient IoT data discovery routing.
Into Summarization Techniques for IoT Data Discovery Routing
Also, our approach outperforms DHT based approaches by 2 to 6 folds in terms of latency and traffic.
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