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 ...

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 ...

There was a reason Brian Callahan was No. 1 on FOX Sports' most recent list of NFL coaches on the hot seat. And it didn’t take a well-embedded league source to understand why. The Tennessee Titans ...

I don't think I've ever met a diecast enthusiast who knows when to stop. Let me rephrase that: I don't know any collector who plans on ever stopping. The more tiny cars in your "garage", the better, ...

LITTLE ROCK, Ark. — Tension over a broken car mirror led to the death of a man and the arrest of another in Hot Springs on Wednesday evening. Officers with the Hot Springs Police Department arrested ...

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 ...

1 Hunan Provincial Key Laboratory of Finance and Economics Big Data Science and Technology, Hunan University of Finance and Economics, Changsha, China 2 College of Information Science and Engineering, ...

Freeze casting is a versatile manufacturing process for producing porous materials with tailored microstructures and properties. However, due to the complexity and variability involved, predicting ...

Sabrina Carpenter has returned to the top of the charts with her latest single “Manchild” debuting at Number One on the Billboard Hot 100. “If I really wanted to, I could have stretched out Short n’ ...

This repository is a comprehensive guide to different Encoding techniques in Machine Learning, explaining when to use each method and best practices. You'll find practical examples, ready-to-use code, ...