activity
20162021
most citedIndoor Positioning using Similarity-based Sequence and Dead Reckoning without Training

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.LG2021

Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation

Xuewen Zhang, Yan Qin, Chau Yuen +2

For health prognostic task, ever-increasing efforts have been focused on machine learning-based methods, which are capable of yielding accurate remaining useful life (RUL) estimati…

eess.IV2020

Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Images

Qianru Zhang, Meng Zhang, Chinthaka Gamanayake +7

Quality control is of vital importance during electronics production. As the methods of producing electronic circuits improve, there is an increasing chance of solder defects durin…

cs.NI20171 cited

Indoor Positioning using Similarity-based Sequence and Dead Reckoning without Training

Ran Liu, Chau Yuen, Tri-Nhut Do +3

For the traditional fingerprinting-based positioning approach, it is essential to collect measurements at known locations as reference fingerprints during a training phase, which c…

cs.HC2016

SenseFlow: An Experimental Study for Tracking People

Kai Li, Chau Yuen, Salil S. Kanhere +4

The main challenges in large-scale people tracking are the recognition of people density in a specific area and tracking the people flow path. To address these challenges, we prese…

cs.NI2016

System Design of Internet-of-Things for Residential Smart Grid

Sanjana Kadaba Viswanath, Chau Yuen, Wayes Tushar +5

Internet-of-Things (IoTs) envisions to integrate, coordinate, communicate, and collaborate real-world objects in order to perform daily tasks in a more intelligent and efficient ma…

cs.NI2016

Selective AP-sequence Based Indoor Localization without Site Survey

Ran Liu, Chau Yuen, Jun Zhao +4

In this paper, we propose an indoor localization system employing ordered sequence of access points (APs) based on received signal strength (RSS). Unlike existing indoor localizati…