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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 ...

Fall99 - cst.temple.edu

https://cst.temple.edu/sites/cst/files/AlgebraFall1999.pdf

2. Let R be a commutative ring with 1, and let e ∈ R be an idempotent (e2 = e). Prove:

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

https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedCPD.pdf

0 2 2 2 L1 + E 0G2 + E2 0G2 2 + 2 L2E2 0G2 2 + 2 Theorem 2. (Non-convex FedCPD convergence). 0 < e < 0, e 2 f1 1; 2; : : : ; Eg, where represents the de- 2; cay factor for the learning rate. If the learning rate for each epoch satisfies the following condition, the loss function de-creases monotonically, leading to convergence:

Glossary .pdf - Center for the Advancement of Teaching

https://teaching.temple.edu/sites/teaching/files/resource/pdf/A%20Guide%20to%20LGBTQIA%2B%20Terminology.pdf

A Guide to LGBTQIA+ Terminology This glossary was written to give you the words and meanings to help you feel more comfortable working toward creating an LGBTQIA+ inclusive learning environment. We’d like you to note that language is always evolving and is context dependent, and thus it can never hurt to ask if a term is ok for you to use or what is meant when a term is used by others.

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.

131695-1216654150-Heon_Choul_Kim_s_dissertation

https://scholarshare.temple.edu/bitstreams/a7e8ac09-ba3c-4423-98ed-b3533161c333/download

2.1: The formation of Turkish Sufism (9c – 14c) ............. ...................... 38 2.2: The development of Turkish Sufism (15c – 20c) ...............................85