Work

Deep shared representation learning for weather elements forecasting

Year: 2019

Type: article

Source: Knowledge-Based Systems

DOI: 10.1016/j.knosys.2019.05.009

Author: Siamak Mehrkanoon

Institution: Maastricht University

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

Funder: Fonds Wetenschappelijk Onderzoek

Award: Semi-Supervised Models with Deep Architectures and Applications

OpenAlex ID: W2943852858

FWCI: 3.939

Cites: 41

Cited by: 83

Related to: 10