Sparse and hybrid modelling of relative humidity: the Krško basin case study-Reference-Cited by-同舟云学术

Sparse and hybrid modelling of relative humidity: the Krško basin case study

Published:2020-01-30 Issue:1 Volume:5 Page:42-48
ISSN:2468-2322
Container-title:CAAI Transactions on Intelligence Technology
language:en
Short-container-title:CAAI trans. intell. technol.

Author:

Kocijan Juš¹²^ORCID,Perne Matija¹,Grašic Boštjan³,Božnar Marija Zlata³,Mlakar Primož³

Affiliation:

1. Department of Systems and ControlJozef Stefan InstituteJamova 39LjubljanaSlovenia

2. Centre for Information Technologies and Applied MathematicsUniversity of Nova GoricaVipavska 13Nova GoricaSlovenia

3. MEIS d.o.o.Mali Vrh pri Šmarju 78Šmarje‐SapSlovenia

Funder

Javna Agencija za Raziskovalno Dejavnost RS

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/trit.2019.0054

Reference23 articles.

1. Dose projection using dispersion models

2. The origins of computer weather prediction and climate modeling

3. Spatial estimation of urban air pollution with the use of artificial neural network models

4. Development of hybrid numerical and statistical short term horizon weather prediction models for building energy management optimisation

5. Artificial Neural Network Modeling of Relative Humidity and Air Temperature Spatial and Temporal Distributions Over Complex Terrains

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