https://scholarshare.temple.edu/bitstreams/a44ee42e-1084-4b92-8021-219d7ccca8ae/download
EXAMINATION OF THE HOLLYWOOD MOVIE TRAILERS EDITING PATTERN EVOLUTION OVER TIME BY USING THE QUANTITATIVE APPROACH OF STATISTICAL STYLISTIC ANALYSIS A Thesis ...
https://sites.temple.edu/nsfcareerakt/files/2019/06/140601033-%E5%8D%9A%E5%A3%AB%E6%AF%95%E4%B8%9A%E8%AE%BA%E6%96%87.pdf
TPACK视角下小学数学教师专业发展的研究 研究生:
https://sites.temple.edu/dslab/?page_id=68
He completed three separate internship at Ford Motor Company’s Research and Advanced Engineering (R&AE) division, where he led the research efforts on an on-going project involving optimal control of a complex nonlinear MIMO system (AC75 sailboat) via model-free optimization and implemented data-driven modeling (DDM) techniques to develop ...
https://cis.temple.edu/~latecki/Courses/CIS166-Spring10/Lectures/Ch9.ppt
The incidence matrix w.r.t. this ordering of V and E is the n m matrix M = [mij], where Incidence Matrix Example Represent the graph shown with an incidence matrix. 1 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 1 1 1 0 1 0 0 0 0 1 0 1 1 0 v1 v2 v3 v4 v5 vertices e1 e2 e3 e4 e5 e6 edges v1 v2 v3 v4 v5 e1 e2 e3 e4 e5 e6 Isomorphism Two simple graphs are ...
https://cis.temple.edu/~yu/research/CrispBP-Mobicom21.pdf
ABSTRACT Arterial blood pressure (ABP) monitoring using wearables has emerged as a promising approach to empower users with self-monitoring for efective diagnosis and control of hypertension. However, existing schemes mainly monitor ABP at discrete time intervals, involve some form of user efort, have insuficient ac-curacy, and require collecting suficient training data for model development ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICC2024.pdf
[11] Y. Wei, J. Jang-Jaccard, F. Sabrina, A. Singh, W. Xu, and S. Camtepe, “Ae-mlp: A hybrid deep learning approach for ddos detection and classification,” IEEE Access, vol. 9, pp. 146810–146821, 2021. [12]
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 ...