Cell Biology: Structure of prokaryotic and eukaryotic cells; Membrane structure and function ... Integration by parts. Probability & Statistics: Mean, median, mode and standard deviation; Random ...

Abstract: We propose nonparametric methods to obtain the Probability Density Function (PDF) to assess the properties of the underlying data generating process (DGP) without imposing any assumptions on ...

Introduction to probability, random processes and basic statistical methods to address the random nature of signals and systems that engineers analyze, characterize and apply in their designs. It ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...

In a number of situations we are faced with the problem of determining efficient estimates of the mean and variance of a distribution specified by (i) a non-zero probability that the variable assumes ...

Department of Veterinary Sciences, Ludwig-Maximilians-Universität München, Munich, Germany ...

Abstract: The incipient fault is difficult to detect because of its small amplitude and insignificant impact, however, ignoring such fault may cause irreversible damage to the system. In this article, ...

Background to the Geological interpretation of individual deposits is carried out using a systematic approach to ensure that ...

Patterns of spatial structural change are investigated for eight Functional Economic Areas in North Carolina, South Carolina, and Georgia. Residential population density functions are estimated using ...

This family of MNIST classifiers are classicial-quantum hybrid circuits using Keras and Pennylane. The quantum circuit is composed of a data encoding circuit and quantum neural network circuit as ...

(Our code has been tested on Ubuntu 20.04, python 3.10, torch 1.13.1, CUDA 11.7 and RTX 3090) We provide processed data for training CGF which can be downloaded from here and unzip it under ...