Background With the advancement in technology the amount of data generated, in almost
every sphere of life, is increasing exponentially. This enormous amount of data needs new …

Although most statistical methods for the analysis of longitudinal data have focused on
retrospective models of association, new advances in mobile health data have presented …

Small ruminant production has the potential to address the global challenge of greatly
increased food production in impoverished rural areas in a manner that is …

The use of robust algorithms in the prediction of egg production is gaining more prominence
in recent times. This study, therefore, aimed at estimating egg number from the age (weeks) …

Ruminant utilization of poor-quality feeds is governed by rates of digestion and of passage
through the rumen. The passage rate of feed material determines the quantity of bypass …

Atrial fibrillation (AF) represents a condition of irregularities of heartbeats. Timely diagnosis
and treatment of AF are crucial to avoid serious consequences such as stroke, heart failure …

Although traditionally used only for their powerful predictive capabilities, neural networks
have utility beyond just prediction, and techniques from classical statistics can be quite …

Secondary Analyses of the National Environmental Literacy Assessment: Phase One &
Phase Two Student, Teacher, Program, and S Page 1 Secondary Analyses of the National …

Time series prediction grabs much attention because of its effect on the vast range of real-
life applications. Traditional time series forecasting tools have some limitations like slow …

The goal of classification is to assign the pre-specified group or class to an instance based
on the observed features related to that instance. The implementation of several …