Earth, Atmosphere & Environment Sciences
Title : | Long Short Term Memory based Neural Network Approach for Prediction of Wintertime Fog over Northern India. |
Area of research : | Earth, Atmosphere & Environment Sciences |
Focus area : | Atmospheric Science |
Principal Investigator : | PI: Dr. Uma Das Indian Institute Information Technology (IIIT)Kalyani, Nadia, West Bengal – 741235 West Bengal |
Timeline Start Year : | 2022 |
Details
Executive Summary : | The project aims to predict occurrence, intensity and duration of fog over Northern India using machine learning techniques. The selected parameters will be investigated via a binary classification algorithm to find if the conditions are favorable for occurrence of fog. The Long Short Term Memory based neural network approach combined with logistic regression is used to select the parameters using atmospheric data from ground and satellite based observations over north India. |
Co-PI: | Dr. Bandyopadhyay Oishila, IIIT Kalyani WEBEL IT Park Campus, Opp Water Treatment Plant, Kalyani - 741235, Nadia, West Bengal Dt, West Bengal. , Dr. Nandi Dalia, Indian IIIT Kalyani WEBEL IT Park Campus, Opp Water Treatment Plant, Kalyani -741235, Nadia, West Bengal Dt, West Bengal. |
Total Budget (INR): | 24,37,354 |
Organizations involved