209 citations · 651 across the 18 of their papers we have counts for
4 papers · 1 filter
COVID-19 sentiment analysis via deep learning during the rise of novel cases
Rohitash Chandra, Aswin Krishna
Social scientists and psychologists take interest in understanding how people express emotions and sentiments when dealing with catastrophic events such as natural disasters, polit…
A review of machine learning in processing remote sensing data for mineral exploration
Hojat Shirmard, Ehsan Farahbakhsh, R. Dietmar Muller +1
The decline of the number of newly discovered mineral deposits and increase in demand for different minerals in recent years has led exploration geologists to look for more efficie…
Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown
Animesh Tiwari, Rishabh Gupta, Rohitash Chandra
Air pollution has a wide range of implications on agriculture, economy, road accidents, and health. In this paper, we use novel deep learning methods for short-term (multi-step-ahe…
Deep learning via LSTM models for COVID-19 infection forecasting in India
Rohitash Chandra, Ayush Jain, Divyanshu Singh Chauhan
The COVID-19 pandemic continues to have major impact to health and medical infrastructure, economy, and agriculture. Prominent computational and mathematical models have been unrel…