https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICDE2024_Online_Federated_Learning_on_Distributed_Unknown_Data_Using_UAVs.pdf
Abstract—Along with the advance of low-altitude economy, a variety of applications based on Unmanned Aerial Vehicles (UAVs) have been developed to accomplish diverse tasks. In this paper, we focus on the scenario of multiple UAVs performing Federated Learning (FL) tasks. Specifically, a group of UAVs is scheduled to repeatedly visit some Points of Interest (PoIs), collect the data produced ...
https://sites.temple.edu/rtwiseowls/ebp-resources/
If you are a recreational therapy student, professor, or researcher and you want to learn more about how to conduct a rapid or systematic review to strengthen recreational therapy evidence-based practice, take a look at this journal article and ATRA’s rapid review and systematic review guidelines.
https://cis.temple.edu/~yu/research/PPGSpotter-info24.pdf
Abstract—Free weight training (FWT) is of utmost importance for physical well-being. However, the success of FWT depends heavily on choosing the suitable workload, as improper selections can lead to suboptimal outcomes or injury. Current workload estimation approaches rely on manual recording and special-ized equipment with limited feedback. Therefore, we introduce PPGSpotter, a novel PPG ...
https://tuljournals.temple.edu/index.php/mundi/article/download/746/521/2954
Abstract: Fast fashion has become popular among Western consumers since the turn of the century. With the invention of social media, these two industries have become integrated through consumer interest and retailer intervention through sponsorship. This study seeks to better understand current consumer perceptions of fast fashion retail practices to explore causes of the perpetuated unethical ...
https://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf
Zhanteng Xie, Pujie Xin, and Philip Dames Abstract—This paper proposes a novel neural network-based control policy to enable a mobile robot to navigate safety through environments filled with both static obstacles, such as tables and chairs, and dense crowds of pedestrians. The network architecture uses early fusion to combine a short history of lidar data with kinematic data about nearby ...
https://www.fox.temple.edu/sites/fox/files/documents/CVs/marco-shaojun-qin-cv.pdf
Education Ph.D. in Marketing, University of Minnesota, Carlson School of Management, 2018
https://scholarshare.temple.edu/bitstreams/1c1f1a6d-0f34-4234-8b39-41d9eeb397f0/download
of machine learning (ML) versus a traditional statistical model in predicting dental caries in
https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICPP_2021_Duan.pdf
ABSTRACT Reducing the inference time of Deep Neural Networks (DNNs) is critical when running time sensitive applications on mobile devices. Existing research has shown that partitioning a DNN and ofloading a part of its computation to cloud servers can reduce the inference time. The single DNN partition problem has been extensively in-vestigated recently. However, in real-world applications, a ...
https://cis.temple.edu/~yu/research/FitLoc-infocom16.pdf
However, this approach doesn’t work out when one performs localization over various areas due to the high human effort cost caused by the repeated calibration for each area. To overcome these limitations, in this paper, we intro-duce FitLoc, the first fine-grained and low-cost device-free localization for multiple targets over various areas.
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