6 papers
Co-Learning: Towards Semi-Supervised Object Detection with Road-side Cameras
Jicheng Yuan, Anh Le-Tuan, Ali Ganbarov +2
Recently, deep learning has experienced rapid expansion, contributing significantly to the progress of supervised learning methodologies. However, acquiring labeled data in real-wo…
Towards an Implementation of the Knowledge-Based Control Plane for Intelligent Swarm Networks
Xuanchi Guo, Anh Le-Tuan, Danh Le-Phuoc
This paper proposes the possibility of integrating Dynamic Knowledge Graph (DKG) with Software-Defined Networking (SDN). This new approach aims to assist the management and control…
A comparison of extended object tracking with multi-modal sensors in indoor environment
Jiangtao Shuai, Martin Baerveldt, Manh Nguyen-Duc +3
This paper presents a preliminary study of an efficient object tracking approach, comparing the performance of two different 3D point cloud sensory sources: LiDAR and stereo camera…
Experimental comparison of graph-based approximate nearest neighbor search algorithms on edge devices
Ali Ganbarov, Jicheng Yuan, Anh Le-Tuan +2
In this paper, we present an experimental comparison of various graph-based approximate nearest neighbor (ANN) search algorithms deployed on edge devices for real-time nearest neig…
Building a P2P RDF Store for Edge Devices
Xuanchi Guo, Anh Le-Tuan, Danh Le-Phuoc
The Semantic Web technologies have been used in the Internet of Things (IoT) to facilitate data interoperability and address data heterogeneity issues. The Resource Description Fra…
Semantic Programming for Device-Edge-Cloud Continuum
Anh Le-Tuan, David Bowden, Danh Le-Phuoc
This position paper presents ThothSP, a Semantic Programming framework with the aim of lowering the coding effort in building smart applications on the Device-Edge-Cloud continuum…