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View article: Artificial Intelligence in Planetary Science and Astronomy: Applications and Research Potential
Artificial Intelligence in Planetary Science and Astronomy: Applications and Research Potential Open
IntroductionArtificial Intelligence (AI) is one of the most influential fields of the 21st century (Zhang et al., 2021). Rich, E (2019) candidly described it as “the study of how to make computers do things which, at the moment, people do …
View article: Planetary Research: A new diamond open access journal for planetary science
Planetary Research: A new diamond open access journal for planetary science Open
Planetary Research is a new diamond open-access journal for the planetary sciences and is set to be launched in January 2026. Planetary Research will follow an alternative to the traditional model of commercial publishing: the diamond open…
View article: Europlanet Machine Learning Working Group: a year of progress
Europlanet Machine Learning Working Group: a year of progress Open
The rapid advances in machine learning (ML) present unprecedented opportunities for planetary science. We have established a dedicated working group (WG) focused on the application of ML in this field to harness these technological advance…
View article: Value Sliced and Derivative Images for Source Mask in JWST MIRI Photometry
Value Sliced and Derivative Images for Source Mask in JWST MIRI Photometry Open
One of many ways for the James-Webb Space Telescope (JWST) to capture astronomical signals is the Mid-Infrared Instrument (MIRI) Imaging mode. To make this data ready for analysis, the JWST standard reduction pipeline has three stages and …
View article: JWST MIRI Imaging Data Post-Processing Preliminary Study with Fourier Transformation to uncover potentially celestial-origin signals
JWST MIRI Imaging Data Post-Processing Preliminary Study with Fourier Transformation to uncover potentially celestial-origin signals Open
This manuscript reports a part of a dedicated study aiming to disentangle sources of signals from James Webb Space Telescope (JWST) Mid-Infrared Instrument (MIRI) imaging mode. An instrumental introduction and characteristics section is pr…
View article: PCA-based Data Reduction and Signal Separation Techniques for James-Webb Space Telescope Data Processing
PCA-based Data Reduction and Signal Separation Techniques for James-Webb Space Telescope Data Processing Open
Principal Component Analysis (PCA)-based techniques can separate data into different uncorrelated components and facilitate the statistical analysis as a pre-processing step. Independent Component Analysis (ICA) can separate statistically …
View article: Utility of PCA and Other Data Transformation Techniques in Exoplanet Research
Utility of PCA and Other Data Transformation Techniques in Exoplanet Research Open
This paper focuses on the utility of various data transformation techniques, which might be under the principal component analysis (PCA) category, on exoplanet research. The first section introduces the methodological background of PCA and…
View article: On the Use of Dimension Reduction or Signal Separation Methods for Nitrogen River Pollution Source Identification
On the Use of Dimension Reduction or Signal Separation Methods for Nitrogen River Pollution Source Identification Open
Identification of the current and expected future pollution sources to rivers is crucial for sound environmental management. For this purpose numerous approaches were proposed that can be clustered under physical based models, stable isoto…
View article: Modeling irrigation with nitrate contaminated groundwater
Modeling irrigation with nitrate contaminated groundwater Open
ÖzAn alternative method to treat the nitrate-contaminated groundwater under the agricultural fields while providing economic benefit is called pump and fertilize.Pump and fertilize, while removing the nitrate in the groundwater, can reduce…