Results 111 to 120 of about 3,027 (198)

Basal Force Probability Distributions in Thin‐Layer Granular Flows

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 8, August 2026.
Abstract Extreme geophysical flows, such as granular and debris flows, can significantly shape the landscape in steep lands and generate seismic signals that can be recorded over long distances. However, direct field measurements needed to constrain the granular physics remain difficult due to the damage potential of those flows.
Jun Fang, Hui Tang, Yifei Cui, Jens M. Turowski, Lu Jing, Clarence Edward Choi   +5 more
wiley   +1 more source

Wasserstein Distance-Based Feature Engineering for Enhancing Forecasting and Asset Allocation Insights

International Journal of Computational Intelligence Systems
This study evaluates the Wasserstein distance — a metric rooted in optimal transport theory — as a distribution-aware feature input to financial price forecasting and as a dissimilarity input to the Hierarchical Risk Parity (HRP) portfolio construction ...
Insu Choi
doaj   +1 more source

From Radar Sensor to Floating Car Data: Evaluating Speed Distribution Heterogeneity on Rural Road Segments Using Non-Parametric Similarity Measures

Sci
Rural roads, often characterized by winding paths and nearby settlements, feature frequent curvature changes, junctions, and closely spaced private accesses that lead to significant speed variations.
Giuseppe Cantisani, Giulia Del Serrone, Raffaele Mauro, Paolo Peluso, Andrea Pompigna   +4 more
doaj   +1 more source

Fine‐Tuning a Weather Foundation Model With Lightweight Decoders for Unseen Physical Processes

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Recent advances in AI weather forecasting have led to the emergence of so‐called “foundation models”, typically defined by expensive pretraining and minimal fine‐tuning for downstream tasks. However, in the natural sciences, a desirable foundation model should also encode meaningful statistical relationships between the underlying physical ...
Fanny Lehmann, Firat Ozdemir, Benedikt Soja, Torsten Hoefler, Siddhartha Mishra, Sebastian Schemm   +5 more
wiley   +1 more source

Metric property of quantum Wasserstein divergences

Physical Review A
Quantum Wasserstein divergences are modified versions of quantum Wasserstein distances defined by channels, and they are conjectured to be genuine metrics on quantum state spaces by De Palma and Trevisan. We prove triangle inequality for quantum Wasserstein divergences for every quantum system described by a separable Hilbert space and any quadratic ...
Gergely Bunth, József Pitrik, Tamás Titkos, Dániel Virosztek   +3 more
openaire   +3 more sources

The Gini index in the representation theory of the general linear group [PDF]

Enumerative Combinatorics and Applications, 2023
Grant Kopitzke
doaj   +1 more source

EnScale: Temporally‐Consistent Multivariate Generative Downscaling via Proper Scoring Rules

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract The practical use of future climate projections from global circulation models (GCMs) is often limited by their coarse spatial resolution, requiring downscaling to generate high‐resolution data. Regional climate models (RCMs) provide this refinement, but are computationally expensive.
Maybritt Schillinger, Maxim Samarin, Xinwei Shen, Reto Knutti, Nicolai Meinshausen   +4 more
wiley   +1 more source

Estimating Baseline Flow Resistance Parameters for Remote Sensing River Discharge (RSQ) From River Morphology Characteristics

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 4, August 2026.
ABSTRACT This study demonstrates that flow resistance in rivers, quantified via calibration of a modified Manning's equation, can inform its estimation from channel hydrometric information available from regional or global datasets for a limited set (N = 14) of rigorously calibrated river reaches in Alaska and with less certainty in a large set (N ...
David M. Bjerklie, Merritt E. Harlan, Ethan J. Shavers, Craig B. Brinkerhoff, Lawrence V. Stanislawski, J. Toby Minear, Robert W. Dudley   +6 more
wiley   +1 more source

Enhancing profits of hybrid wind-battery plants in spot and balancing markets using data-driven two-level optimization

International Journal of Electrical Power & Energy Systems
Nowadays, co-locate renewable power plants and energy storage systems, forming hybrid power plants (HPPs) have raised commercial interests. One popular configuration of HPP is the hybrid wind-battery plant (HWBP). This paper proposes a data-driven energy
Rujie Zhu, Kaushik Das, Poul E. Sørensen, Anca D. Hansen   +3 more
doaj   +1 more source

On Metric Choice in Dimension Reduction for Fréchet Regression

International Statistical Review, Volume 94, Issue 2, Page 325-346, August 2026.
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale, Congli Ma, Siyu Chen, Obed Koomson   +3 more
wiley   +1 more source