Work

Groundwater Level Prediction: Analyzing the Performance of LSTM and QLSTM Model

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata62323.2024.10825269

Authors: Aditi Saha, Mohammad Rahman, Fan Wu

Institution: Tuskegee University

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

Funder: National Science Foundation

OpenAlex ID: W4406458038

FWCI: 5.293

Cites: 28

Cited by: 5

Related to: 10