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Research Guides: Find Data and Statistics: How to Search for Data

https://guides.temple.edu/c.php?g=78598&p=6237506

Discover reliable sources of data and statistics.Finding the right data for your research is easiest when you have a well-thought-out strategy. 1. Define Your Needs Before you start searching, get clear on what you're looking for: Research question: What specific question are you trying to answer with data? Unit of analysis: Who or what are you studying? (Individuals, organizations, countries ...

Research Guides: Using REDCap: Data Import Tool

https://guides.temple.edu/c.php?g=936400&p=8404930

How to use REDCap for collecting clinical data.

Explicit Solution to Green and Ampt Infiltration Equation - Sites

https://sites.temple.edu/sserrano/files/2020/08/16-Explicit-Solution-to-Green-and-Ampt-Infiltration-Equation.pdf

By Sergio E. Serrano1 ABSTRACT: An explicit solution of the Green and Ampt infiltration equation is presented by constructing a decomposition series. Simple expressions for the cumulative infiltration depth and the infiltration rate are pro-posed. These expressions are valid for deep homogeneous soils under ponding conditions resulting from intense rainfall events. The solution was compared ...

Sports Analytics - IBIT

https://ibit.temple.edu/wp-content/uploads/2014/04/IBITSportsanalytics.pdf

Foreword Sports enthusiasts are likely familiar with the growing importance of analytics in sports franchise operations. Sports teams use analytics in a wide range of activities, including game management, player development, marketing, and finance. As a result, sports are becoming a proving ground for tomorrow’s business analytics technologies. This IBIT Report provides a history and the ...

Zhanteng Xie, Pujie Xin, and Philip Dames - Sites

https://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf

Zhanteng Xie, Pujie Xin, and Philip Dames Abstract—This paper proposes a novel neural network-based control policy to enable a mobile robot to navigate safety through environments filled with both static obstacles, such as tables and chairs, and dense crowds of pedestrians. The network architecture uses early fusion to combine a short history of lidar data with kinematic data about nearby ...

CoursePack.book - Temple University

https://cis.temple.edu/~latecki/Courses/CIS750-03/Papers/KalmanFilterSIGGRAPH2001.pdf

An Introduction to the Kalman Filter Greg Welch Gary Bishop