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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: Representation learning for analog circuits is challenging due to the continuous electrical characteristics of devices, compared to the discrete states of digital circuits. While graph ...

Sometimes courage means facing the impossible… or a 10‑foot python. Follow the story of one fearless young woman who used her instincts - and her bare hands - to secure a giant reptile in the murky ...

My wife often jokes that I'm a man of extremes. And you can see that in my garage as well. One car is loud, fast, and compact. The other is slow, silent, and quite spacious. You could say they're ...

With the calendar flipping from November to December, there's plenty of drama in playoff races across the league and, on the other end of the spectrum, in the job security for several coaches as well.

ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.

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 ...

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

Love movies? Live for TV? USA TODAY's Watch Party newsletter has all the best recommendations, delivered right to your inbox. Sign up now and be one of the cool kids. In the laboratory that is ...