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Academic Articles & Research Papers
Showing 7 of 7 academic articles
J. Schwarz, J. Schwarz, G. Kirchengast, G. Kirchengast et al. • Atmospheric Measurement Techniques
(2018)
Global Navigation Satellite System (GNSS) radio occultation
(RO) observations are highly accurate, long-term stable data sets and are
globally available as a continuous record from 2001. Essential climate
variables for the thermodynamic ...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/amt-11-2601-2018
Salvator Lawrence, Srimuruganandam Bhathmanabhan • Sustainable Environment Research
(2026)
Abstract Accurate prediction of fine particulate matter (PM2.5) remains challenging because atmospheric processes are nonlinear, nonstationary, and influenced by temporal variability, measurement uncertainty, and episodic pollution events. ...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s42834-026-00296-y
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jong‐Seok Lee et al. • Artificial Intelligence Review
(2023)
Abstract Over the last decade, neural networks have reached almost every field of science and become a crucial part of various real world applications. Due to the increasing spread, confidence in neural network predictions has become more a...
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DOI: https://doi.org/10.1007/s10462-023-10562-9
Klemen Istenič, Nuno Gracias, Aurélien Arnaubec, Javier Escartín et al. • Remote Sensing
(2019)
Rapid developments in the field of underwater photogrammetry have given scientists the ability to produce accurate 3-dimensional (3D) models which are now increasingly used in the representation and study of local areas of interest. This pa...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs11182093
Zeynep Akata, Andreas Geiger, Torsten Sattler • International Journal of Computer Vision
(2021)
This special issue covers a wide range of topics from the area of Computer Vision, Pattern Recognition, and Machine Learning.This breadth of scope is reflected by the papers included in this special issue, which touch topics including geome...
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DOI: https://doi.org/10.1007/s11263-021-01522-3
Siwei Yu, Jianwei Ma • Reviews of Geophysics
(2021)
Abstract Recently deep learning (DL), as a new data‐driven technique compared to conventional approaches, has attracted increasing attention in geophysical community, resulting in many opportunities and challenges. DL was proven to have the...
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DOI: https://doi.org/10.1029/2021rg000742
Uyanga Dorjsembe, Ju Hong Lee, Bumghi Choi, Jae Won Song • Computers
(2021)
Deep neural networks have achieved almost human-level results in various tasks and have become popular in the broad artificial intelligence domains. Uncertainty estimation is an on-demand task caused by the black-box point estimation behavi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/computers10040054