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Artikel 531 A hybrid physics–AI approach using universal differential equations with state-dependent neural networks for learnable, regionalizable, spatially distributed hydrological modeling
Enthalten in Geoscientific model development Bd. 19, 2026, Nr. 3: 1055-1074. 20 S.
Online Ressource
Artikel 532 A probabilistic approach to wildfire spread prediction using a denoising diffusion surrogate model
Enthalten in Geoscientific model development Bd. 19, 2026, Nr. 2: 1027-1054. 28 S.
Online Ressource
Artikel 533 Implementation Challenges of AI in Judicial Decision-Making in Jordan
Enthalten in Law and development review Bd. 19, 2026, Nr. 1: 403-432. 30 S.
Online Ressource
Artikel 534 Exploring the capability of surface-observed spectral irradiance for remote sensing of precipitable water vapor amount under all-sky conditions
Enthalten in Atmospheric measurement techniques Bd. 19, 2026, Nr. 1: 231-247. 17 S.
Online Ressource
Artikel 535 OpenLandMap-soildb: global soil information at 30&thinsp;m spatial resolution for 2000–2022+ based on spatiotemporal Machine Learning and harmonized legacy soil samples and observations
Enthalten in Earth system science data Bd. 18, 2026, Nr. 2: 989-1036. 48 S.
Online Ressource
Artikel 536 Enhancing the resolution of seismic post-stack data based on deep learning
Enthalten in Open Geosciences Bd. 18, 2026, Nr. 1. 13 S.
Online Ressource
Artikel 537 Emotions matter: the influence of emotional precursors on academic achievement in skill-focused English reading
Enthalten in Applied linguistics review Bd. 17, 2026, Nr. 1: 87-116. 30 S.
Online Ressource
Artikel 538 Application of backpropagation neural network algorithm in e-commerce customer churn prediction
Enthalten in Nonlinear engineering Bd. 15, 2026, Nr. 1. 16 S.
Online Ressource
Artikel 539 Spirituelle Momente in gruppendynamischen Trainings? Ein Gespräch
Enthalten in Spiritual care Bd. 15, 2026, Nr. 1: 67-69. 3 S.
Online Ressource
Artikel 540 Two‐Stage Adaptive Wiener Process‐Based Data Reconstruction for Small‐Sample Remaining Useful Life Prediction of Lithium‐Ion Batteries
Enthalten in Energy technology Bd. 14, 2026, Nr. 1. 14 S.
Online Ressource


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