Abrupt climate change in arid central Asia during the Holocene: A review
Unlike the long-term (eg, Earth orbital-scale) climatic trend, abrupt climate changes in
westerlies-dominated arid central Asia (ACA) during the Holocene remain unclear. We …
westerlies-dominated arid central Asia (ACA) during the Holocene remain unclear. We …
Gaia May Detect Hundreds of Well-characterized Stellar Black Holes
Detection of black holes (BHs) with detached luminous companions (LCs) can be
instrumental in connecting the BH properties with their progenitors since the latter can be …
instrumental in connecting the BH properties with their progenitors since the latter can be …
Understanding the information content in the hierarchy of model development decisions: Learning from data
Process‐based hydrological models seek to represent the dominant hydrological processes
in a catchment. However, due to unavoidable incompleteness of knowledge, the …
in a catchment. However, due to unavoidable incompleteness of knowledge, the …
An efficient hybrid computer-aided breast cancer diagnosis system with wavelet packet transform and synthetically-generated contrast-enhanced spectral …
Contrast-enhanced spectral mammography (CESM) is an emerging modality for breast
cancer diagnosis. This work investigates the feasibility of a computationally-efficient …
cancer diagnosis. This work investigates the feasibility of a computationally-efficient …
Unsupervised insurance fraud prediction based on anomaly detector ensembles
A Vosseler - Risks, 2022 - mdpi.com
The detection of anomalous data patterns is one of the most prominent machine learning
use cases in industrial applications. Unfortunately very often there are no ground truth labels …
use cases in industrial applications. Unfortunately very often there are no ground truth labels …
A joint approach combining correlation and mutual information to study land and ocean drivers of us droughts: Methodology
Normalized mutual information (NMI) is a nonparametric measure of the dependence
between two variables without assumptions about the shape of their bivariate data …
between two variables without assumptions about the shape of their bivariate data …
Equal-bin-width histogram versus equal-bin-count histogram
P Sulewski - Journal of Applied Statistics, 2021 - Taylor & Francis
The histogram has all its bin widths equal to some non-random number arbitrary set by an
analyst (EBWH). In the result, particular bin counts are random variables. This paper …
analyst (EBWH). In the result, particular bin counts are random variables. This paper …
Λ-enhanced gray molasses in a tetrahedral laser beam geometry
We report the observation of sub-Doppler cooling of lithium using an irregular-tetrahedral
laser beam arrangement, which is produced by a nanofabricated diffraction grating. We are …
laser beam arrangement, which is produced by a nanofabricated diffraction grating. We are …
DPTVAE: Data-driven prior-based tabular variational autoencoder for credit data synthesizing
Data synthesizing is of great significance for the privacy protection of real credit data. Credit
data synthesis poses unique challenges, involving discrete and continuous features, lack of …
data synthesis poses unique challenges, involving discrete and continuous features, lack of …
Modelling the evolution of the Galactic disc scale height traced by open clusters
S Moreira, A Moitinho, A Silva, D Almeida - Astronomy & Astrophysics, 2025 - aanda.org
Context. The scale height (SH) of the spatial distribution of open clusters (OCs) in the Milky
Way exhibits a well-known increase with age that is usually interpreted as evidence for …
Way exhibits a well-known increase with age that is usually interpreted as evidence for …