This paper proposes a deep learning solution for estimating the compressive strength of rice
husk ash-blended concrete. The deep learning models are trained by the adaptive moment …

In twin support vector regression (TSVR), one can notice that the samples are having the
same importance even they are laying above the up-bound and below the down-bound on …

Twin support vector regression (TSVR) aims at finding 𝜖-insensitive up-and down-bound
functions for the training points by solving a pair of smaller-sized quadratic programming …

LINEX means linear exponential loss function which used in the analysis of statistical
estimation and prediction problem which rises exponentially on one side of zero and almost …

This thesis consists of two parts. The purpose of the first part of the research is to obtain
Bayesian sample size determination (SSD) using loss or utility function with a linear cost …

Sequential analysis (SA) as a sampling technique has notable advantages like smaller
average sample size and reduced value of risk compared to similarly comparable fixed …

In this research, we present two-stage and purely sequential methodologies for estimating
the scale parameter of the Moore and Bilikam family of lifetime distributions (see Moore and …

The problem of Bayes sequential estimation of the unknown parameter in a particular
exponential family of distributions with relative LINEX loss and fixed cost for each …

Sequential analysis as a sampling technique facilitates efficient statistical inference by
considering less number of observations in comparison to the fixed sampling method. The …

We develop an optimization-based algorithm for converting input photographs into
typewriter art. Taking advantage of the typist's ability to move the paper in the typewriter, the …