Deep learning, a branch of artificial intelligence (AI), imitates human thinking and learning by enabling computers to learn from data examples. At its foundation are ‘artificial neural networks,’ ...

This happens for multiple table_id's and multiple hist_id's, but is_index is always true. It looks like mysql.stats_histograms doesn't have an entry for the table_id/hist_id/is_index combination. The ...

An AI image generator that uses light to produce images, rather than conventional computing hardware, could consume hundreds of times less energy. When an artificial intelligence model produces an ...

Digital astrophotography allows imaging during Full Moon, unlike film-based methods which required dark, New Moon skies. Successful imaging requires image processing techniques to mitigate the ...

Abstract: This paper rethinks image histogram matching (HM) and proposes a differentiable and parametric HM preprocessing for a downstream classifier. Convolutional neural networks have demonstrated ...

A medical image denoising method based on principles of quantum mechanics outperform machine learning, statistical methods, and neural networks. The same approach could aid quantum computing ...

Version 3.1.1 - A Python-based tool for analyzing noise in lamp data according to ASTM standards. This application provides a modern GUI interface with separate plot windows for analyzing noise ...

For some people, noisy environments are just too much for their brains to handle. A loud restaurant, a party with friends, or even waiting in line to catch the next subway to work can make it almost ...

The sonic environment of a city can be described as the urban soundscape. This covers all sounds, including those regarded as pleasant, such as birdsong and children playing. However, cities can be ...