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Long Short Term Memory based Neural Network Approach for Prediction of Wintertime Fog over Northern India.

Implementing Organization

Indian Institute Information Technology (IIIT)Kalyani, Nadia, West Bengal
Principal Investigator
PI: Dr. Uma Das Indian Institute Information Technology (IIIT)Kalyani
Nadia, West Bengal – 741235 West Bengal
uma@iiitkalyani.ac.in, umakota@gmail.com
CO-Principal Investigator
Dr. Bandyopadhyay Oishila
IIIT Kalyani WEBEL IT Park Campus, Opp Water Treatment Plant, Kalyani - 741235, Nadia, West Bengal Dt, West Bengal.
oishila@iiitkalyani.ac.in, dalia@iiitkalyani.ac.in
CO-Principal Investigator
Dr. Nandi Dalia
Indian IIIT Kalyani WEBEL IT Park Campus, Opp Water Treatment Plant, Kalyani -741235, Nadia, West Bengal Dt, West Bengal.
oishila@iiitkalyani.ac.in, dalia@iiitkalyani.ac.in

Project Overview

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.

Related Research

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Funding Organization
Funding Organization
Ministry of Earth Sciences (MoES)
Quick Information
Area of Research
Earth, Atmosphere & Environment Sciences
Focus Area
Atmospheric Science
Start Year
2022
Sanction Amount
₹ 24.37 L
Status
Ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :00
Grant :00
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