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phylotree.js - a JavaScript library for application development and ...

https://scholarshare.temple.edu/bitstreams/b1ecc345-7a7c-4776-a366-9b5585e714d6/download

London: J. Murray; 1859. Vaughan TG. IcyTree: rapid browser-based visualization for phylogenetic trees and networks. Bioinformatics. 2017;33:btx155. Kreft Ł, Botzki A, Coppens F, Vandepoele K, Van Bel M. PhyD3: a phylogenetic tree viewer with extended phyloXML support for functional genomics data visualization. Bioinformatics. 2017;33(18):2946 ...

MS in Health Informatics | College of Public Health | College of Public ...

https://cph.temple.edu/marketing/lp/MSHI

Flexible Learning – Complete your degree fully online or on campus in as little as 2.5 years, full-time or part-time. Career-Focused Curriculum – Gain expertise in health data analytics, AI in healthcare, IT strategy, and more.

Analysis of Randomized Householder-Cholesky QR Factorization with ...

https://faculty.cst.temple.edu/~szyld/reports/randCholQR_rev2_report.pdf

Only the trian-gular factor ˆR is needed, so some (exactly) orthogonal Qtmp exists such that Qtmp ˆR = ˆW + E2 = S2S1V + E1 + E2. (17) Analysis of E2 is provided in Section 5.2.4. In step 3, solving the triangular system Q ˆR = V also creates errors. These are analyzed in a row-wise fashion in Section 5.2.5, taking the form

Common Data Elements:

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

Study abroad տ Teacher certification program տ Undergraduate Research տ Weekend college Cooperative education program; Peer Teaching E2. Has been removed from the CDS. E3. Areas in which all or most students are required to complete some course work prior to graduation: տ

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

For the energy consumption during the learning phase, we set e1 = 0.01J and e2 = 80J [18]. To better align with real-world data collection scenarios, we design fine-grained PoI data models from three perspectives: data distribution, data generation patterns, and data quality.

PRESENTATION TITLE - Office of the Vice President for Research

https://research.temple.edu/sites/research/files/media/document/Temple%20University%20Export%20Control%20Introduction%20.pdf

DISCLAIMER This introduction is limited in scope and depth. It is intended to serve as an introduction to export control. It is not intended to be your sole resource for export control expertise. The export control CITI modules will serve as your formal training.