Up to 800 mln euro loss seen by 2026 amid restructuring costs Proposes unchanged dividend of 15 euro cents per share Shares fall 13% in morning trading Shares fell as much as 13%, with market ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Representation learning fundamentally determines the classification performance of models on tabular data. However, existing tabular data classification models typically focus on single-modal encoding ...

WASHINGTON, Nov 18 (Reuters) - A divided U.S. Federal Reserve begins receiving updated economic reports from the now-reopened federal government this week as policymakers hope for clarity in their ...

This paper focuses on the nonlinear correlation between investor sentiment and stock returns and conducts in-depth research with the aid of deep learning and text mining techniques. First of all, sort ...

Abstract: Deep learning models have greatly improved various natural language processing tasks. However, their effectiveness depends on large data sets, which can be difficult to acquire. To mitigate ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods, and MRI scanner models vary across sites and datasets. This non-neural variability obscures neural ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.