A translation of the visualisation chapters from “R for Data Science” to Python using Plotnine and Pandas. This repository contains all the code and text to generate this tutorial. The tutorial is ...

With information overload, rapidly and effectively communicating complex medical data to healthcare professionals, researchers, and patients is crucial. Today’s audiences not only benefit from, but ...

Turns out it is Benniganahalli to Majestic, with more than 2,500 commuters daily, as per data culled out by public transport enthusiasts Vivek Matthew and Aman Bhargav based on an RTI response. It ...

But not everyone is comfortable with the change. New research has unearthed a “data dilemma”. A global Canva survey of more than 2400 marketing and sales professionals shows while data dependency is ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Did you know that the University has a 3D, large-scale visualisation facility with 72 full HD screens? Do you want to learn more about this facility, the kinds of projects that can benefit from it, ...

The goal of the partnership is to develop synthetic datasets to train vision language action models on various experimental workflows ...

iDaVIE is a data visualisation tool for 3D volumetric data, with analysis tools aimed at astronomical data in particular (e.g. spectral line data cube analysis, such as HI or CO data cubes). It ...

Abstract: Detecting multiple targets of interest within a Synthetic Aperture Radar (SAR) scene is the most commonly addressed problem in Automatic Target Recognition (ATR). As there are not many SAR ...

Abstract: It is difficult to capture ultraviolet images (UV images) using skin diagnostic equipment when wearing makeup with cosmetics containing UV protection. Therefore, a skin diagnostic equipment ...