We propose a deep generative approach to sampling from conditional distribution based on unified formulation of and generalized nonparametric regression function using the noise-outsourcing lemma. The proposed aims at learning generator, so that random sample target can be obtained by transforming drawn reference distribution. generator is estimated nonparametrically with neural networks matchi...

Covid-19 is a global health emergency and major concern in the industrial residential sectors. It has ability to spread leading problems or death. Wearing mask public locations busy areas most effective COVID-19 prevention measure. Face recognition provides an accurate method that overcomes uncertainties such as false prediction, high cost, time consumption, it understood primary identification...

cars are one of the most important symbols of modern technology which contain various social and cultural messages about concepts like gender, ethnicity, age, social class, etc. and are interpreted differently based on the needs and motivations of users. since the main aim of this research is having a deep look at use of cars among female drivers, we will first take a look at the conceptual rel...

Objectives: Students in Problem-Based Learning (PBL) are assumed to adopt a deep learning approach and not a surface approach. This study investigated: 1) the reliability and validity of version of the Revised Study Process Questionnaire adapted to the PBL context (PBL-R-SPQ) and 2) the extent to which PBL students use deep or surface approaches, and whether this differs between first and secon...

Deep drawing of two-layer sheet is a suitable way to achieve product with a desired shape and desired properties in sheet metal forming technology. Control of deep drawing parameter such as thinning is the most important challenge in this process. The most difficult part of this challenge is differences in material properties and geometry of each layer. In this paper, numerical approach has bee...