Results 111 to 120 of about 23,924 (195)

Canonical Variates in Wasserstein Metric Space

double space 37 pages, 6 ...
Li, Jia, Lin, Lin
openaire   +2 more sources

A Physically Consistent Particle Size Distribution Modeling of the Microphysics of Precipitation for Weather and Climate Models

Geophysical Research Letters, Volume 53, Issue 4, 28 February 2026.
Abstract The probability density function of drops is difficult to model. Current approaches make assumptions that are often problematic, as they allow negative values for the mean of the distribution. While the statistical goodness of fit of those models might be reasonable for precipitation radar estimation, the situation is unsatisfactory if a fully
Francisco J. Tapiador, Kyuhee Shin, Livia J. Leganés, Kyo‐Sun Lim, Gabriela Juárez, Wonbae Bang, Andrés Navarro, Raúl Martín, Sun‐Young Park, GyuWon Lee   +9 more
wiley   +1 more source

Hybrid Proximal Policy Optimization—Wasserstein Generative Adversarial Network Framework for Hosting Capacity Optimization in Renewable-Integrated Power Systems

Energies
The rapid integration of distributed energy resources (DERs) such as photovoltaics (PV), wind turbines, and energy storage systems has transformed modern power systems, with hosting capacity optimization emerging as a critical challenge.
Jun Han, Chao Cai, Wenjie Pan, Hong Liu, Zhengyang Xu   +4 more
doaj   +1 more source

DOTmark – A Benchmark for Discrete Optimal Transport

IEEE Access, 2017
The Wasserstein metric or earth mover's distance is a useful tool in statistics, computer science and engineering with many applications to biological or medical imaging, among others. Especially in the light of increasingly complex data, the computation
Jorn Schrieber, Dominic Schuhmacher, Carsten Gottschlich   +2 more
doaj   +1 more source

Evaluating the impact of deep learning‐based image denoising on low‐dose CT for lung cancer screening

Journal of Applied Clinical Medical Physics, Volume 27, Issue 2, February 2026.
Abstract Purpose Low‐dose CT (LDCT) is increasingly being adopted as a preferred method for lung cancer screening. However, the accompanying rise in image noise necessitates robust denoising strategies. Therefore, this study compared LDCT images with their denoised counterparts using objective image quality metrics and key nodule‐related features ...
Shih‐Sheng Chen, Hsiao‐Hua Liu, Ching‐Ching Yang   +2 more
wiley   +1 more source

A Stable Edge‐Aware GAN Approach for Data Augmentation and Privacy‐Preserving High‐Fidelity CT Synthesis

Applied AI Letters, Volume 7, Issue 1, February 2026.
The framework addresses limitations of conventional GANs by integrating learnable edge kernels and interpolated skip connections with an edge‐aware discriminator, enabling stable training and improved anatomical fidelity. The resulting synthetic CT images exhibit sharper edges, higher realism, and strong diagnostic plausibility, supporting privacy ...
Raja Vavekanand, Muhammad Turab, Teerath Kumar   +2 more
wiley   +1 more source

Automated regime classification in multidimensional time series data using sliced Wasserstein k-means clustering

Data Science in Finance and Economics
Recent work has proposed Wasserstein k-means (Wk-means) clustering as a powerful method to classify regimes in time series data, and one-dimensional asset returns in particular.
Qinmeng Luan, James Hamp
doaj   +1 more source

RESIdual STability (RESIST) Calibration for Improved Hydrological Model Time Generalizability

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Hydrological models are calibrated on specific periods based on how well simulations match streamflow observations by selecting the parameter vector(s) that provide the highest accuracy. This accuracy can decrease significantly during extrapolation to periods not seen during calibration, especially when they are characterized by different ...
Paul C. Astagneau, Jonas Peters, Sandra Pool, Eduardo Muñoz‐Castro, Manuela I. Brunner   +4 more
wiley   +1 more source

Accurate Identification Method of Small-Size Polymetallic Nodules Based on Seafloor Hyperspectral Data

Journal of Marine Science and Engineering
Polymetallic nodules are spherical or ellipsoidal mineral aggregates formed naturally in deep-sea environments. They contain a variety of metallic elements and are important solid mineral resources on the seabed.
Kai Sun, Ziyin Wu, Mingwei Wang, Jihong Shang, Zhihao Liu, Dineng Zhao, Xiaowen Luo   +6 more
doaj   +1 more source

Quantifying functionally equivalent species and ecological network dissimilarity with optimal transport distances

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 301-321, February 2026.
Abstract Quantifying the structure and dynamics of species interactions in ecological communities is fundamental to studying ecology and evolution. While there are numerous approaches to analysing ecological networks, there is not yet an approach that can (1) quantify dissimilarity in the global structure of ecological networks that range from ...
Kai M. Hung, Lydia Beaudrot, Ann E. Finneran, Alex G. Zalles, César A. Uribe   +4 more
wiley   +1 more source