https://community.mis.temple.edu/yiwen/files/2022/02/CV_Yiwen.pdf
Southwestern University of Finance and Economics Master in Business Intelligence
https://cis.temple.edu/~wu/research/publications/Publication_files/Topology-Aware_Scheduling_Framework_for_Microservice_Applications_in_Cloud.pdf
Abstract—Loosely coupled and highly cohesived microservices running in containers are becoming the new paradigm for application development. Compared with monolithic applications, applications built on microservices architecture can be deployed and scaled independently, which promises to simplify software development and operation. However, the dramatic increase in the scale of microservices ...
https://cis-linux1.temple.edu/~jiewu/research/publications/Publication_files/ICPADS2024.pdf
Abstract—Federated Learning (FL) is an emerging privacy-preserving distributed machine learning paradigm that enables numerous clients to collaboratively train a global model without transmitting private datasets to the FL server. Unlike most existing research, this paper introduces a Data-Driven FL system in Unmanned Aerial Vehicle (UAV) networks, named DDFL, which features an innovative ...
https://news.temple.edu/news/2022-02-23/visiting-north-philadelphia-s-church-advocate
Visiting the Church of the Advocate, a National Historic Landmark located nearby Temple University’s Main Campus.
https://scholarshare.temple.edu/bitstreams/1c1f1a6d-0f34-4234-8b39-41d9eeb397f0/download
both groups, and using preventive treatments (Qu et 2022). So far, studies have shown machine learning as a potentially viable tool for predicting us, the objective of this systematic rev to determine the feasibility and accuracy of machine learning versus traditional statistical models in predicting dental caries in children.
https://cis.temple.edu/~latecki/Papers/ICME2024.pdf
Abstract—Camouflaged object detection (COD) is a challeng-ing task that identifies camouflaged objects from highly similar backgrounds. Existing methods typically treat the whole object equally while neglecting the indistinguishable regions that require more attention than other regions. In this paper, we propose a Fuzzy Boundary-Guided Network (FBG-Net) for camouflaged object detection ...
https://community.mis.temple.edu/mis3534sec001spring2022/files/2021/12/Overview-of-Systems-Thinking.pdf
The Systems Thinking Approach The approach of systems thinking is fundamentally different from that of traditional forms of analysis. Traditional analysis focuses on the separating the individual pieces of what is being studied; in fact, the word “analysis” actually comes from the root meaning “to break into constituent parts.” Systems thinking, in contrast, focuses on how the thing ...
https://www.fox.temple.edu/sites/fox/files/documents/CVs/xueming-luo-cv.pdf
Bio: Xueming Luo is the Charles Gilliland Distinguished Chair Professor of Marketing, Professor of Strategy, and Professor of MIS, and Founder/ Director of the Global Institute for Artificial Intelligence & Business Analytics in the Fox School of Business at Temple University. He is an interdisciplinary thought-leader in leveraging AI/ML algorithms, text/audio/image/video big data ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206190%20Camera%20Ready%20Version.pdf
a major challenge for federated learning in diverse settings. Personalized Federated Learning (PFL), [Tan et al., 2022a] addresses these issues by allowing client-specific models that leverage global insights to enhance local outcomes. The main challenge in PFL lies in balancing global knowledge sharing with preserving client-specific information, making the trade- off an important research ...
https://news.temple.edu/news/2024-07-02/temple-university-appoints-its-15th-president-higher-education-leader-john-fry
Following a comprehensive national search overseen by the Presidential Search Advisory Committee, higher education leader John Fry has been named as Temple University's 15th president.