Separating True V0's from Combinatoric Background with a Neural Network

A feedforward multilayered neural network has been trained to "recognize" true V0's in the presence of a large combinatoric background using simulated data for 2 GeV/nucleon Ni + Cu interactions. The resulting neural network filter has been applied to actual data from the EOS TPC experiment. An enhancement of signal to background over more traditional selection mechanisms has been observed.Comment: 9 pages LaTeX using elsart.sty and psfig, 5 ps figures. Submitted to NI

Justice (Vol. 19, Iss. 13)

Justice was the official publication of the International Ladies’ Garment Workers’ Union ILGWU from 1919 to 1995. Editions of Justice were published in English, Italian, Spanish, and Yiddish. When compared side by side, the content of some of these different editions of Justice shows significant differences. This is the English-language edition of Justice.Justice_19_13.pdf: 32 downloads, before Oct. 1, 2020

Justice (Vol. 17, Iss. 22)

Justice was the official publication of the International Ladies’ Garment Workers’ Union ILGWU from 1919 to 1995. Editions of Justice were published in English, Italian, Spanish, and Yiddish. When compared side by side, the content of some of these different editions of Justice shows significant differences. This is the English-language edition of Justice.Justice_17_24.pdf: 40 downloads, before Oct. 1, 2020

DeepCough: A Deep Convolutional Neural Network in A Wearable Cough Detection System

In this paper, we present a system that employs a wearable acoustic sensor and a deep convolutional neural network for detecting coughs. We evaluate the performance of our system on 14 healthy volunteers and compare it to that of other cough detection systems that have been reported in the literature. Experimental results show that our system achieves a classification sensitivity of 95.1% and a specificity of 99.5%.Comment: BioCAS-201

Justice (Vol. 12, Iss. 17)

Justice was the official publication of the International Ladies’ Garment Workers’ Union ILGWU from 1919 to 1995. Editions of Justice were published in English, Italian, Spanish, and Yiddish. When compared side by side, the content of some of these different editions of Justice shows significant differences. This is the English-language edition of Justice.Justice_12_17.pdf: 55 downloads, before Oct. 1, 2020

Justice (Vol. 11, Iss. 24)

Justice was the official publication of the International Ladies’ Garment Workers’ Union ILGWU from 1919 to 1995. Editions of Justice were published in English, Italian, Spanish, and Yiddish. When compared side by side, the content of some of these different editions of Justice shows significant differences. This is the English-language edition of Justice.Justice_11_23.pdf: 34 downloads, before Oct. 1, 2020

Justice (Vol. 10, Iss. 22)

Justice was the official publication of the International Ladies’ Garment Workers’ Union ILGWU from 1919 to 1995. Editions of Justice were published in English, Italian, Spanish, and Yiddish. When compared side by side, the content of some of these different editions of Justice shows significant differences. This is the English-language edition of Justice.Justice_10_2.pdf: 53 downloads, before Oct. 1, 2020

Justice (Vol. 12, Iss. 16)

Justice was the official publication of the International Ladies’ Garment Workers’ Union ILGWU from 1919 to 1995. Editions of Justice were published in English, Italian, Spanish, and Yiddish. When compared side by side, the content of some of these different editions of Justice shows significant differences. This is the English-language edition of Justice.Justice_12_16.pdf: 89 downloads, before Oct. 1, 2020