The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …

Simple random sampling is a widely utilized sampling method in quantitative studies with
survey instruments. It is asserted that simple random sampling is favorable in homogeneous …

The interdisciplinary field of knowledge discovery and data mining emerged from a
necessity of big data requiring new analytical methods beyond the traditional statistical …

Abstract Background Banana (Musa spp.) is the most popular marketable fruit crop grown all
over the world, and a dominant staple food in many developing countries. Worldwide …

In recent years, applications of convolutional neural networks (CNNs) to runoff prediction
have received some attention due to their excellent feature extraction capabilities. However …

In this article, we propose an optimal method referred to as SPlit for splitting a dataset into
training and testing sets. SPlit is based on the method of support points (SP), which was …

Statistical models are at the core of the genome-wide association study (GWAS). In this
chapter, we provide an overview of single-and multilocus statistical models, Bayesian, and …

The optimization of the electrodes manufacturing process constitutes a critical step to ensure
high-quality Lithium-Ion Battery (LIB) cells, in particular for automotive applications. Because …

In this paper, we focus on identifying the limitations and shortcomings of existing deepfake
detection frameworks. We identified some key problems surrounding deepfake detection …

Botnets have recently been identified as serious Internet threats that are continually
developing and expanding. Identifying botnets in the domain of network security is regarded …