Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

See my DrGFreeman/rps-cv-data-science repository where I posted different notebooks demonstrating some cool data science analysis on the image dataset resulting from this project. This project results ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

Cat visual cortex contains a topographic map of visual space, plus superimposed, spatially periodic maps of ocular dominance, spatial frequency and orientation. It is hypothesized that the layout of ...

Abstract: Accurately predicting sea surface temperature (SST) is practically important to many applications, such as weather forecasting, ocean environment protection, and marine disaster prevention.

Ultrasound and artificial intelligence-guided algae microrobots delivered chemotherapy deep into tumors in mice, paving the way to improved bladder cancer care.