Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Qian, Xiaoye"'
Autor:
Qian, Xiaoye
As an increasing number of people with chronic diseases and the elderly population, the demand for healthcare is rising. Smart healthcare systems have rapidly evolved in the recent past decades. In the past few decades, the smart healthcare technolog
Autor:
Qian, Xiaoye, Tang, Youbao, Zhang, Ning, Han, Mei, Xiao, Jing, Huang, Ming-Chun, Lin, Ruei-Sung
Transformer-based approaches have been successfully proposed for 3D human pose estimation (HPE) from 2D pose sequence and achieved state-of-the-art (SOTA) performance. However, current SOTAs have difficulties in modeling spatial-temporal correlations
Externí odkaz:
http://arxiv.org/abs/2301.07322
The growing availability of the data collected from smart manufacturing is changing the paradigms of production monitoring and control. The increasing complexity and content of the wafer manufacturing process in addition to the time-varying unexpecte
Externí odkaz:
http://arxiv.org/abs/2111.06982
Autor:
Yella, Jaswanth, Zhang, Chao, Petrov, Sergei, Huang, Yu, Qian, Xiaoye, Minai, Ali A., Bom, Sthitie
Over the last few decades, modern industrial processes have investigated several cost-effective methodologies to improve the productivity and yield of semiconductor manufacturing. While playing an essential role in facilitating real-time monitoring a
Externí odkaz:
http://arxiv.org/abs/2111.06981
Autor:
Huang, Yu, Zhang, Chao, Yella, Jaswanth, Petrov, Sergei, Qian, Xiaoye, Tang, Yufei, Zhu, Xingquan, Bom, Sthitie
In the era of big data, data-driven based classification has become an essential method in smart manufacturing to guide production and optimize inspection. The industrial data obtained in practice is usually time-series data collected by soft sensors
Externí odkaz:
http://arxiv.org/abs/2111.06980
Autor:
Zhang, Chao, Yella, Jaswanth, Huang, Yu, Qian, Xiaoye, Petrov, Sergei, Rzhetsky, Andrey, Bom, Sthitie
With the rapid development of AI technology in recent years, there have been many studies with deep learning models in soft sensing area. However, the models have become more complex, yet, the data sets remain limited: researchers are fitting million
Externí odkaz:
http://arxiv.org/abs/2111.05973
IEEE BigData 2021 Cup: Soft Sensing at Scale is a data mining competition organized by Seagate Technology, in association with the IEEE BigData 2021 conference. The scope of this challenge is to tackle the task of classifying soft sensing data with m
Externí odkaz:
http://arxiv.org/abs/2109.03181
Autor:
Qian, Xiaoye
With the development of technologies, the increasing number of mobile devices are used all around the world. Wearable sensors can provide quantitative assessments for fall-based movements. Detecting falls from multiple intelligent wearable sensors ha
Publikováno v:
Leadership & Organization Development Journal, 2022, Vol. 43, Issue 5, pp. 734-749.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/LODJ-10-2021-0452
Publikováno v:
In Smart Health December 2022 26