Work

Novel Insights in Deep Learning for Predicting Climate Phenomena

Year: 2024

Type: conference-paper

Source: International Conference on Computer and Knowledge Engineering

DOI: 10.1109/iccke65377.2024.10874569

Authors: Mohammad Naisipour, Saghar Ganji, Iraj Saeedpanah, Behnam Mehrakizadeh, Arash Adib

Institutions: University of Zanjan, Shiraz University, Islamic Azad University, Shoushtar Branch, Shahid Chamran University of Ahvaz

Language: English

Topic: Climate variability and models

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W4407693255

FWCI: 1.731

Cites: 39

Cited by: 1

Related to: 10