Results 151 to 160 of about 373 (214)

Ceres' Salty Ices: Sublimation‐Driven Evolution From Water Ice Exposures to Na‐Carbonate Deposits

open access: yesJournal of Geophysical Research: Planets, Volume 131, Issue 10, October 2026.
Abstract The dwarf planet Ceres hosts nine geologically recent water ice exposures revealed by NASA's Dawn mission. We investigated the 0.04–11 km2 sites using visible imagery and infrared (1.0–4.3 μm) reflectance spectroscopy. Ice occurrence was mapped, and its abundance, grain size, and mixing mode with local regolith were constrained with Hapke ...
V. V. Kachmar, B. L. Ehlmann
wiley   +1 more source

Hay Fever Symptom Burden From Grass Pollen: Implications for Public Health Warning Thresholds

open access: yesGeoHealth, Volume 10, Issue 10, October 2026.
Abstract This study quantifies the lagged association between grass pollen exposure and the onset of allergic rhinitis (AR) symptoms, including differences between asthmatic and non‐asthmatic subgroups. Data included 114,834 self‐reported AR symptoms collected from 25,194 uniquely identified users of a smartphone application.
Max J. Tyler   +3 more
wiley   +1 more source

How Much Physics Should a Neural Network Know? Thermodynamics‐Informed Neural Networks for Rock Constitutive Modeling With Epistemic Uncertainty

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Machine learning offers a flexible route to constitutive modeling, with two emergent questions for geoscience applications: what level of thermodynamic constraint should be embedded in the network architecture, and how should predictive uncertainty be quantified when extrapolating from laboratory to field conditions? We address both challenges
Kangan Li   +3 more
wiley   +1 more source

Interpolating with generalized Assouad dimensions. [PDF]

open access: yesJ Geom Anal
Banaji A, Rutar A, Troscheit S.
europepmc   +1 more source

FedLucra: Federated Learning With Loss‐Utility Controlled Robust Aggregation

open access: yesExpert Systems, Volume 43, Issue 10, October 2026.
ABSTRACT Federated learning enables collaborative model training without centralizing private data. However, conventional aggregation strategies generally determine client contributions primarily according to local data volume and do not directly consider differences in local model performance. To address this limitation, we propose FedLucra, a modular
Emin Akpinar   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy