Results 101 to 110 of about 3,027 (198)

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

When to Adjust for Multiple Testing: A Unifying Guiding Principle

Biometrical Journal, Volume 68, Issue 4, August 2026.
ABSTRACT Most original articles published in the medical literature report the results of multiple statistical tests. In a few simple cases, there is agreement on whether to adjust for the number of performed tests. For many cases encountered in practice, however, this is less clear, and the recommendations in the literature are contradictory, along ...
Sabine Hoffmann, Simon Lemster, Gary Collins, Alexander Hapfelmeier, Georg Heinze, Andreas Mayr, Matthias Schmid, Juliane C. Wilcke, Anne‐Laure Boulesteix   +8 more
wiley   +1 more source

Convergence of the population dynamics algorithm in the Wasserstein metric

Electronic Journal of Probability, 2019
We study the convergence of the population dynamics algorithm, which produces sample pools of random variables having a distribution that closely approximates that of the {\em special endogenous solution} to a stochastic fixed-point equation of the form: $$R\stackrel{\mathcal D}{=} Φ( Q, N, \{ C_i \}, \{R_i\}),$$ where $(Q, N, \{C_i\})$ is a real ...
openaire   +3 more sources

Data Analysis Planning and Reporting for Confirmatory Multi‐Lab Preclinical Trials: A Tutorial

Biometrical Journal, Volume 68, Issue 4, August 2026.
ABSTRACT Confirmatory multi‐lab preclinical trials are a powerful experimental strategy to enable decisions to transition from preclinical to clinical settings. With their complexity, such study designs pose several challenges in statistical planning, analysis, and reporting of experiments.
María Arroyo‐Araujo, Clarissa F. D. Carneiro, Sophie K. Piper, Juliane C. Wilcke, Nicole Ellenbach, Anne‐Laure Boulesteix, Robbert Emprechtinger, Benjamin V. Ineichen, Lars Bjorn Riecken, Bernhard Haller, Bernhard Voelkl, Leonard Held, Frank Konietschke, Ulf Toelch   +13 more
wiley   +1 more source

A Data‐Driven Closed‐Loop Control Approach to Drive Neural State Transitions for Mechanistic Insight

Human Brain Mapping, Volume 47, Issue 11, 01 August 2026.
The study introduces a data‐driven framework combining dynamical systems reconstruction and closed‐loop control to analyze brain‐state transitions in remitted depression. Using fMRI data, we show that these individuals more easily enter but struggle to exit sad mood states, revealing altered connectivity and potential neuromodulation targets for ...
Niklas Emonds, Evelyn Herberg, Martin Fungisai Gerchen, Marc Pritsch, Joshua Rocha, Vera Zamoscik, Peter Kirsch, Roland Herzog, Georgia Koppe   +8 more
wiley   +1 more source

Wasserstein barycenters on metric graphs

In this paper we provide conditions for a Wasserstein barycenter to be absolutely continuous with respect to its Hausdorff measure away from the vertices of the graph. One assumption removed in v2, the result is now optimal.
Bertrand, Jérôme, Ma, Jianyu
openaire   +3 more sources

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance

Naval Research Logistics (NRL), Volume 73, Issue 5, Page 719-742, August 2026.
ABSTRACT The rapid expansion of cross‐border e‐commerce (CBEC) has created significant opportunities for small‐ and medium‐sized sellers, yet financing remains a critical challenge due to their limited credit histories. Third‐party logistics (3PL)‐led supply chain finance (SCF) has emerged as a promising solution, leveraging in‐transit inventory as ...
Qingkai Zhang, L. Jeff Hong, Houmin Yan
wiley   +1 more source

Advancing scenario generation in large-scale clean energy bases via enhanced hyperparameter optimization techniques

International Journal of Electrical Power & Energy Systems
With the rapid expansion of large-scale clean energy bases in major energy-producing countries, high-quality scenario generation has become essential for effective energy management and intelligent scheduling.
Bo Wu, Xiuli Wang, Bangyan Wang, Shixiong Qi, Wenduo Sun, Qihang Huang, Xiang Ma, Yaohong Xie   +7 more
doaj   +1 more source

On the application of the Wasserstein metric to 2D curves classification

CoRR
In this work we analyse a number of variants of the Wasserstein distance which allow to focus the classification on the prescribed parts (fragments) of classified 2D curves. These variants are based on the use of a number of discrete probability measures which reflect the importance of given fragments of curves.
Agnieszka Kaliszewska, Monika Syga
openaire   +2 more sources

Gradient‐Free Online Learning of Subgrid‐Scale Dynamics With Neural Emulators

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract In this paper, we propose a generic algorithm to train machine learning‐based subgrid parametrizations online, that is, with a posteriori loss functions, but for non‐differentiable numerical solvers. The proposed approach leverages a neural emulator to approximate the reduced state‐space solver, which is then used to allow gradient propagation
H. Frezat, R. Fablet, G. Balarac, J. Le Sommer   +3 more
wiley   +1 more source