QTS2D is a Python library for encoding time series data into image representations using quantum computing principles. These image-based representations can then be used as input for various machine ...

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 ...

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ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...

ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...

Large Language Models (LLMs) have become indispensable tools for diverse natural language processing (NLP) tasks. Traditional LLMs operate at the token level, generating output one word or subword at ...

Shares of Advance Auto Parts Inc. pulled a sharp early U-turn to trade higher Thursday, after the company laid out its plan to return to sales growth and to boost margins, including by closing more ...

Abstract: In medical imaging, image compression is used to ease bandwidth and storage requirements. In this paper, we report a Roi based image compression approach for retinal images based on ...

A landmark study has begun to unravel one of the fundamental mysteries in neuroscience -- how the human brain encodes and makes sense of the flow of time and experiences. A landmark study led by UCLA ...

With modern cars, trucks, and SUVs coming equipped with countless new life-saving technological safety features and even a wave of new data-driven safety functions, it can be difficult to figure out ...