activity
20222024
most citedCQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion

1 citations · 1 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2024

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…

cs.NI2024

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…

cs.RO2024

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…

cs.DS2024

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…

cs.DB2024

Not All RDF is Created Equal: Investigating RDF Load Times on Resource-Constrained Devices

Piotr Sowinski, Anh Le-Tuan, Pawel Szmeja +1

As the role of knowledge-based systems in IoT keeps growing, ensuring resource efficiency of RDF stores becomes critical. However, up until now benchmarks of RDF stores were most o…

cs.CV2024

Cooperative Students: Navigating Unsupervised Domain Adaptation in Nighttime Object Detection

Jicheng Yuan, Anh Le-Tuan, Manfred Hauswirth +1

Unsupervised Domain Adaptation (UDA) has shown significant advancements in object detection under well-lit conditions; however, its performance degrades notably in low-visibility s…

cs.DB2023

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…

cs.DC2023

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…

cs.CV2023

VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph

Jicheng Yuan, Anh Le-Tuan, Manh Nguyen-Duc +3

The availability of vast amounts of visual data with heterogeneous features is a key factor for developing, testing, and benchmarking of new computer vision (CV) algorithms and arc…

cs.DB2022★ 1 cited

CQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion

Anh Le-Tuan, Manh Nguyen-Duc, Chien-Quang Le +4

We present CQELS 2.0, the second version of Continuous Query Evaluation over Linked Streams. CQELS 2.0 is a platform-agnostic federated execution framework towards semantic stream…

cs.RO2022

SemRob: Towards Semantic Stream Reasoning for Robotic Operating Systems

Manh Nguyen-Duc, Anh Le-Tuan, Manfred Hauswirth +2

Stream processing and reasoning is getting considerable attention in various application domains such as IoT, Industry IoT and Smart Cities. In parallel, reasoning and knowledge-ba…