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

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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

About

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.

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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

Technologies (If Any)

No. of PhD Produced

No. of Patents

Filed : 00

Grant : 00

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Research Projects