Datasets

date: 2017

Total is 279 Results
Visualized layer-wise visual features in deep residual neural network

10.4231/R7PR7T1G

Haiguang Wen, Junxing Shi, Wei Chen, Zhongming Liu, 0000-0002-8773-4204

06/29/2017

Deep residual neural network is a brain-inspired computational model. 50 layers of neuron-like computational units are stacked into a bottom-up hierarchy. Features encoded at units are visualized for intuitively understanding the internal...

Biomedical Engineering deep learning natural vision Neural encoding Object Recognition

Loading variable-precision recurrence coefficients

10.4231/R7T151VZ

Walter Gautschi, 0000-0001-9184-8899

11/02/2017

Loading a text file of variable-precision recurrence coefficients into Matlab symbolic or double-precision arrays

Computer Science Jacobi weight functions Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives

Response of High-Strength Steel Reinforced Concrete Frames to Simulated Earthquakes

10.4231/R7TM7899

Lucas A Laughery, Santiago Pujol, 0000-0002-9888-1867

09/15/2017

This dataset contains data from dynamic tests of four reinforced concrete portal frames. The frames were tested on the unidirectional earthquake simulator at Bowen Laboratory for Large-Scale Civil Engineering Research during the fall of 2015.

Civil Engineering datacenterhub earthquake engineering earthquake simulator high strength steel reinforced concrete shake table test

Drosophila Optical Stimulator

10.4231/R73N21JG

Donald Ready, Taylor Zigon, Vikki Weake, Walter Leon-Salas, Xinping Chen, 0000-0001-6547-7123

06/27/2017

This publication contains the electronic files required to build an optical stimulator for fruit flies. The stimulator uses red and blue light-emitting diodes (LEDs) and an embedded computer to generate light at different power density levels.

Biomedical Engineering Drosophila Embedded Software Embedded System Engineering Technology Optical Stimulation Python Code

Purdue Libraries Graduate Research Focus Group Protocol

10.4231/R7T72FMQ

Clarence Maybee, 0000-0002-9003-0486, David A Zwicky, 0000-0002-2702-0840, Harold P Kirkwood Jr, 0000-0002-8327-5362, Nastasha E Johnson, 0000-0002-5578-475X

07/11/2017

This document is the Purdue Libraries Graduate Research Focus Group Protocol as developed by Nastasha Johnson, Hal Kirkwood, Clarence Maybee, and David Zwicky.

Education Library Science

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