265 citations · 725 across the 26 of their papers we have counts for
4 papers · 1 filter
Stacked transfer learning for tropical cyclone intensity prediction
Ratneel Vikash Deo, Rohitash Chandra, Anuraganand Sharma
Tropical cyclone wind-intensity prediction is a challenging task considering drastic changes climate patterns over the last few decades. In order to develop robust prediction model…
Co-evolutionary multi-task learning for dynamic time series prediction
Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh
Time series prediction typically consists of a data reconstruction phase where the time series is broken into overlapping windows known as the timespan. The size of the timespan ca…
Towards prediction of rapid intensification in tropical cyclones with recurrent neural networks
Rohitash Chandra
The problem where a tropical cyclone intensifies dramatically within a short period of time is known as rapid intensification. This has been one of the major challenges for tropica…
An affective computational model for machine consciousness
Rohitash Chandra
In the past, several models of consciousness have become popular and have led to the development of models for machine consciousness with varying degrees of success and challenges…