Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants ...

Abstract: In this letter, we propose a deep learning-based iterative residual encoder-decoder method (IRED), which provides an efficient deep learning framework for electromagnetic modeling over a ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...

Abstract: This study introduces an innovative deep learning framework, the Weber Cross Information Sharing Deep Learning Encoder-Decoder (WCISD-ED) model, designed for emotion recognition through ...

there is no adversarial network, nor any image loss, robustness with regards to JPEG is done by stopping the gradient (see Towards Robust Deep Hiding Under Non-Differentiable Distortions for Practical ...

Introduction: Artificial intelligence algorithms can help understand and predict the complex interactions between dietary intake and health outcomes, especially from large datasets. Precision ...

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