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Detecting, Localizing, and Tracking an Unknown Number of Moving Targets ...

https://sites.temple.edu/pdames/files/2016/07/DamesTokekarKumarISRR2015.pdf

t = fzr 1;t;zr 2;t;:::;zr m;tg to targets that it detects within the field of view (FoV) of its sensor. The number of measurements, mt, varies over time due to false negative and false positive detections and the mo-tion of the robots and the targets.

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 ...

Difference-in-Differences with Multiple Time Periods and an Application ...

https://www.cla.temple.edu/RePEc/documents/DETU_18_04.pdf

CvMn X = p X 1 fg > tg n bJ(u; g; t; ^pg) Fn;X (du) : g=2t=2 X (4.5) This choice of test statistic is similar to the one used by Escanciano (2008) in a di erent context.