no code implementations • 23 Jan 2024 • Abhishek Narayanan, Rushabh Musthyala, Rahul Sankar, Anirudh Prasad Nistala, Pranav Singh, Jacopo Cirrone
We innovatively augment the SLAKE dataset, enabling our model to respond to a more diverse array of questions, not limited to the immediate content of radiology or pathology images.
no code implementations • 19 Jan 2022 • Rushabh Musthyala, Rudrajit Kargupta, Hritish Jain, Dipanjan Chakraborty
In this work, we present Regional GDP NightLight (ReGNL), a neural network based model which is trained on a custom dataset of historical nightlights and GDP data along with the geographical coordinates of a place, and estimates the GDP of the place, given the other parameters.