Work

Prediction of Humidity Based on CEEMDAN-LSTM Approach

Year: 2025

Type: conference-paper

DOI: 10.1109/icfts62006.2025.11032059

Authors: Daphin Lilda S, Jayaparvathy R

Institution: Sri Sivasubramaniya Nadar College of Engineering

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Life on land, Climate action

Open Access status: closed

Funder: Ministry of Environment, Forest and Climate Change

OpenAlex ID: W4411485178

FWCI:

Cites: 16

Cited by:

Related to: 10