43 citations · 49 across the 5 of their papers we have counts for
5 papers
Physics-Informed Diffusion Model for Generating Synthetic Extreme Rare Weather Events Data
Marawan Yakout, Tannistha Maiti, Monira Majhabeen +1
Data scarcity is a primary obstacle in developing robust Machine Learning (ML) models for detecting rapidly intensifying tropical cyclones. Traditional data augmentation techniques…
A deep-learning approach to early identification of suggested sexual harassment from videos
Shreya Shetye, Anwita Maiti, Tannistha Maiti +1
Sexual harassment, sexual abuse, and sexual violence are prevalent problems in this day and age. Women's safety is an important issue that needs to be highlighted and addressed. Gi…
The Impact of Large Language Multi-Modal Models on the Future of Job Market
Tarry Singh
The rapid advancements in artificial intelligence, particularly in large language multi-modal models like GPT-4, have raised concerns about the potential displacement of human work…
Digitization of Raster Logs: A Deep Learning Approach
M Quamer Nasim, Narendra Patwardhan, Tannistha Maiti +1
Raster well-log images are digital representations of well-logs data generated over the years. Raster digital well logs represent bitmaps of the log image in a rectangular array of…
Seismic Facies Analysis: A Deep Domain Adaptation Approach
M Quamer Nasim, Tannistha Maiti, Ayush Srivastava +2
Deep neural networks (DNNs) can learn accurately from large quantities of labeled input data, but often fail to do so when labelled data are scarce. DNNs sometimes fail to generali…