AIRS: A QGIS plugin for time series forecasting using deep learning models-Reference-Cited by-同舟云学术

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AIRS: A QGIS plugin for time series forecasting using deep learning models

Published:2024-06 Issue: Volume:177 Page:106045
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Naciri Hafssa^ORCID,Ben Achhab Nizar,Ezzaher Fatima Ezahrae,Raissouni Naoufal

Publisher

Elsevier BV

Reference39 articles.

1. TensorFlow: a System for large-scale machine learning;Abadi,2016

2. Fuzzy neural networks for water level and discharge forecasting with uncertainty;Alvisi;Environ. Model. Software,2011

3. Prediction of annual CO2 emissions at the country and sector levels, based on a matrix completion optimization problem;Biancalani;Optimization Letters,2023

4. Monitoring cyanoHABs and water quality in Laguna Lake (Philippines) with Sentinel-2 satellites during the 2020 Pacific typhoon season;Caballero;Sci. Total Environ.,2021

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