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Total Results: 20

Common Data Elements:

https://ira.temple.edu/sites/ira/files/Temple%20University%20CDS-2024-2025-v2.pdf

The Common Data Set (CDS) initiative is a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson’s, and U.S. News & World Report. The combined goal of this collaboration is to improve the quality and accuracy of information provided to all involved in a student’s transition into higher education, as well as ...

Early Prediction of Power Outage Duration Through Hierarchical ...

https://dabi.temple.edu/external/zoran/papers/Rafaa_Complex_Net_2025.pdf

Early Prediction of Power Outage Duration Through Hierarchical Spatiotemporal Multiplex Networks Rafaa Aljurbua1,2(B) , Jumanah Alshehri1,3 , Shelly Gupta1 , Abdulrahman Alharbi1,4 , and Zoran Obradovic1

LONG TIME BEHAVIOR OF SOLUTIONS OF AN ELECTROCONVECTION MODEL

https://sites.temple.edu/ignatova/files/2024/08/abig5.pdf

ABSTRACT. We consider a two dimensional electroconvection model which consists of a nonlinear and nonlocal system coupling the evolutions of a charge distribution and a fluid. We show that the solutions decay in time in L2(R2) at the same sharp rate as the linear uncoupled system. This is achieved by proving that the difference between the nonlinear and linear evolution decays at a faster rate ...

Electronic Transition Dipole Moment and Radiative Lifetime Calculations ...

https://sites.temple.edu/molecularoptics/files/2024/07/DAMOP2016PresentationAydin_Sanli-1.pdf

Conclusion We carried out a computational study of lifetimes and transition dipole moment matrix elements of ion-pair states of Lithium Dimer. Due to the ion-pair interaction, there are avoided crossings between the electronic states resulting in shoulders or additional wells in the potential energy curves. Around the shoulders and additional wells, the wave functions exhibit large amplitudes ...

FedCPD: Personalized Federated Learning with Prototype-Enhanced ...

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 ...

METABOLITES OF ARACHIDONIC ACID AND THEIR IMPLICATION IN THE ...

https://scholarshare.temple.edu/bitstreams/3fddbf6c-5dff-4f0e-9502-7839beb8c08e/download

metabolites. Retention behaviors of the lipid biomarkers were characterized by application of QSRR analysis utilizing Austin Model 1 mode semi-empirical computations. The retention data of these fatty acids were obtained from an RP-HPLC method utilizing a Symmetry C18column under gradient elution. Molecular descriptors that take into account the polarity; chemical reactivity and hydrophobicity ...

Online Federated Learning on Distributed Unknown Data Using UAVs

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 ...

Reinforcement Learning-based Dual-Identity Double Auction in ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/Reinforcement_Learning-based_Dual-Identity_Double_Auction_in_Personalized_Federated_Learning.pdf

Reinforcement Learning-based Dual-Identity Auction in Personalized Federated Juan Li, Member, IEEE, Zishang Chen, Tianzi Wu, Fellow, IEEE, Yanmin

Privacy-Preserving Federated Neural Architecture Search With Enhanced ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/Privacy-Preserving_Federated_Neural_Architecture_Search_With_Enhanced_Robustness_for_Edge_Computing.pdf

Abstract—With the development of large-scale artificial intelli-gence services, edge devices are becoming essential providers of data and computing power. However, these edge devices are not immune to malicious attacks. Federated learning (FL), while pro-tecting privacy of decentralized data through secure aggregation, struggles to trace adversaries and lacks optimization for hetero-geneity ...

Modeling Infiltration with Approximate Solutions to Richard s Equation

https://sites.temple.edu/sserrano/files/2020/08/12-Modeling-Infiltration-with-Approximate-Solutions-of-Richards-Equation.pdf

Sergio E. Serrano1 Abstract: Using approximate analytical solutions of the nonlinear Richard’s equation, simple models for the simulation of water content, pressure head, hydraulic head, and infiltration rate profiles, subject to either constant conditions, time-variable rainfall, or redistribution, are developed. New practical expressions for the time to ponding and infiltration rate at the ...