CNN is inspired from Primary Visual (V1) neurons. It is a typical deep learning technique
and can help teach machine how to see and identify objects. In the most recent decade …

Background and objectives Automatic electrocardiogram (ECG) heartbeat classification is
substantial for diagnosing heart failure. The aim of this paper is to evaluate the effect of …

Cancer has identified a diverse condition of several various subtypes. The timely screening
and course of treatment of a cancer form is now a requirement in early cancer research …

In this work, information on COVID-19 confirmed cases is utilized as a dataset to perform
time series predictions. We propose the design of ensemble neural networks (ENNs) and …

Although the multi-layer perceptron (MLP) neural networks provide a lot of flexibility and
have proven useful and reliable in a wide range of classification and regression problems …

In this paper, the latest global COVID-19 pandemic prediction is addressed. Each country
worldwide has faced this pandemic differently, reflected in its statistical number of confirmed …

Despite the advantages of using seashells in concrete, predictive models have not yet been
proposed for this type of concrete. To fill this gap, the present study utilized three distinctive …

Export is an activity of selling goods to another country. Indonesia's main export capital is
natural wealth. From natural wealth owned, can be produced various kinds of export goods …

The current study aims at predicting the efficiency factor (EF) and durability indicator (DI) of
the natural pozzolana when added as a cement replacement at nano scale. Multiple linear …

This paper reports an experimental comparison of artificial neural network (ANN) and
support vector machine (SVM) ensembles and their “nonensemble” variants for lung cancer …