Abstract: Most of the content on various social media platforms has enormous textual data. Before being used in machine learning models, this textual data must be transformed into numerical formats ...

Deep learning methods such as multilayer perceptrons (MLPs) and convolutional neural networks (CNNs) have been applied to predict the complex traits in animal and plant breeding. However, it remains ...

ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...

Introduction: Accurately predicting the on-target activity of sgRNAs remains a challenge in CRISPR-Cas9 applications, due to the limited generalization of existing models across datasets, small-sample ...

Scattered throughout the python hot spots among the cypress and sawgrass of South Florida is the state’s newest weapon in its arsenal to battle the invasive serpent —a mechanical lure meant to entice ...

Burmese pythons have been a persistent problem in Florida for years, significantly disrupting the local ecosystem. These invasive snakes have few natural predators, allowing their population to grow ...