Results 131 to 140 of about 24,886 (258)

A Spectral Matching Algorithm Based on the Wasserstein Metric

Journal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT Through visual inspection, scientists can easily judge the similarity of pairs of spectra from different sources, whether they are experimental measurements, spectra libraries, or spectra calculations. Spectral similarity is recognized when the peak patterns appear similar, even if the peak positions are shifted or the peak amplitudes are ...
Klaus Neymeyr, Baoxin Zhang, Christoph Kubis, Mattis Brinker, Lukas Prestin, Tomass Andersons, Mathias Sawall, Jan Hellwig   +7 more
wiley   +1 more source

Covariance Structure Modeling of Engineering Demand Parameters in Cloud‐Based Seismic Analysis

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 7, Page 1533-1551, June 2026.
ABSTRACT Probabilistic seismic demand modeling aims to estimate structural demand as a function of ground motion intensity—a critical stage in seismic risk assessment. Although many models exist to describe the structural demand, few consider the covariance among engineering demand parameters, potentially overlooking a key factor in improving the ...
Archie Rudman, Enrico Tubaldi, Roberto Gentile, John Douglas   +3 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

Learning From Errors in Simulations: How Individual Error Responses Shape Collaborative Problem‐Solving Skills

Journal of Computer Assisted Learning, Volume 42, Issue 3, June 2026.
ABSTRACT Background In collaborative problem‐solving (CPS), individual errors such as failing to share relevant information are common. These moments can hinder performance, but if learners engage with them productively, they may offer powerful learning opportunities.
Constanze Richters, Matthias Stadler, Leah Braun, Martin R. Fischer, Nicole Heitzmann   +4 more
wiley   +1 more source

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

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

MWG-UNet++: Hybrid Transformer U-Net Model for Brain Tumor Segmentation in MRI Scans

Bioengineering
The accurate segmentation of brain tumors from medical images is critical for diagnosis and treatment planning. However, traditional segmentation methods struggle with complex tumor shapes and inconsistent image quality which leads to suboptimal results.
Yu Lyu, Xiaolin Tian
doaj   +1 more source

Propagation of chaos, Wasserstein gradient flows and toric\n Kahler-Einstein metrics [PDF]

, 2015
Robert J. Berman, Magnus Önnheim
openalex   +1 more source

Quadratic Wasserstein metrics for von Neumann algebras via transport plans

, 2022
Rocco Duvenhage
openalex   +2 more sources

Distribution‐Guided Ensemble Postprocessing for S2S Precipitation Forecasts: A Seamless Pathway Using Deep Generative Models

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Atmosphere‐ocean‐land coupled forecasting systems, despite their comprehensiveness, face substantial challenges in the “predictability desert” at subseasonal to seasonal (S2S) timescales, particularly for precipitation—a variable crucial for socioeconomic activities yet of stunning spatiotemporal variance. Post‐processing methods developed for
Wen Shi, Baoxiang Pan, Jianbin Huang, Tingfeng Dou, Jie Feng, Huihui Yuan, Anran Wang, Xin Xia, Lei Huang, Yong Luo   +9 more
wiley   +1 more source

Carbon-aware mobile energy storage system scheduling in active power distribution systems under PV and traffic uncertainties

Energy Reports
Carbon emission flow (CEF) is a promising approach for assessing both generation-and consumption-side carbon footprints in the power system sector. In this study, we propose a carbon-aware mobile energy storage system (MESS) scheduling framework that ...
Panggah Prabawa, Dae-Hyun Choi
doaj   +1 more source