A new continuous four-parameter lifetime distribution is introduced by compounding the distribution of the maximum of a sequence of an LIQUID MELATONIN 10MG independently identically exponentiated Lomax distributed random variables and zero truncated Poisson random variable, defined as the complementary exponentiated Lomax Poisson (CELP) distributi
Eva G Katz,1 Brett Hauber,2 Srihari Gopal,3 Angie Fairchild,2 Amy Pugh,4 Rachel B Weinstein,3 Bennett S Levitan3 1Janssen Research & Development, LLC, Raritan, NJ, 2RTI Health Solutions, Research Triangle Park, NC, 3Janssen Research & Development, LLC, Titusville, NJ, 4The University of California, San Francisco (UCSF), CA, USA Purpose: She
The massive number of sensors deployed in the Internet of Things (IoT) produce gigantic amounts of data for facilitating a wide range of applications.Deep Learning (DL) would undoubtedly play a role in generating valuable inferences from this massive volume of data and hence will assist in creating smarter IoT.In this regard, exploring the potentia