1 citations · 1 across the 4 of their papers we have counts for
5 papers
TLETA: Deep Transfer Learning and Integrated Cellular Knowledge for Estimated Time of Arrival Prediction
Hieu Tran, Son Nguyen, I-Ling Yen +1
Vehicle arrival time prediction has been studied widely. With the emergence of IoT devices and deep learning techniques, estimated time of arrival (ETA) has become a critical compo…
IoT Data Discovery: Routing Table and Summarization Techniques
Hieu Tran, Son Nguyen, I-Ling Yen +1
In this paper, we consider the IoT data discovery problem in very large and growing scale networks. Through analysis, examples, and experimental studies, we show the importance of…
Into Summarization Techniques for IoT Data Discovery Routing
Hieu Tran, Son Nguyen, I-Ling Yen +1
In this paper, we consider the IoT data discovery problem in very large and growing scale networks. Specifically, we investigate in depth the routing table summarization techniques…
Summarization in Semantic Based Service Discovery in Dynamic IoT-Edge Networks
Hessam Moeini, I-Ling Yen, Farokh Bastani
In the last decade, many semantic-based routing protocols had been designed for peer-to-peer systems. However, they are not suitable for IoT systems, mainly due to their high deman…
Semantically Enhanced Time Series Databases in IoT-Edge-Cloud Infrastructure
Shuai Zhang, Wenxi Zeng, I-Ling Yen +1
Many IoT systems are data intensive and are for the purpose of monitoring for fault detection and diagnosis of critical systems. A large volume of data steadily come out of a large…