Results 41 to 50 of about 449 (103)

High Resolution Seismic Waveform Generation Using Denoising Diffusion

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Accurate prediction and synthesis of seismic waveforms are crucial for seismic‐hazard assessment and earthquake‐resistant infrastructure design. Existing prediction methods, such as ground‐motion models and physics‐based wavefield simulations, often fail to capture the full complexity of seismic wavefields, particularly at higher frequencies ...
Kadek Hendrawan Palgunadi, Andreas Bergmeister, Andrea Bosisio, Laura A. Ermert, Maria Koroni, Nathanaël Perraudin, Simon Dirmeier, Men‐Andrin Meier   +7 more
wiley   +1 more source

Resolution and Error Constraints of Topographic Measurements for Accurate Lava Flow Forecasting

Geophysical Research Letters, Volume 52, Issue 21, 16 November 2025.
Abstract The main parameters required to forecast lava flows are the eruption effusion rate, the lava viscosity, and the pre‐eruption topography. We focus on how the spatiotemporal resolution and vertical errors of topographic measurements affect lava flow forecasts.
Alberto Roman, Paul Lundgren
wiley   +1 more source

Evolute: una nuova soluzione per la mobilità urbana [PDF]

, 2023
Il progetto seguente si focalizza sull’indagine della futura mobilità all’interno degli scenari urbani. Nel rispetto della sostenibilità ambientale e nell’ottica di apportare innovazione, esso si basa sull’utilizzo della propulsione elettrica tramite ...
Vicaretti, Alessandro
core  

Robust multi‐coil MRI reconstruction via self‐supervised denoising

Magnetic Resonance in Medicine, Volume 94, Issue 5, Page 1859-1877, November 2025.
Abstract Purpose To examine the effect of incorporating self‐supervised denoising as a pre‐processing step for training deep learning (DL) based reconstruction methods on data corrupted by Gaussian noise. K‐space data employed for training are typically multi‐coil and inherently noisy.
Asad Aali, Marius Arvinte, Sidharth Kumar, Yamin I. Arefeen, Jonathan I. Tamir   +4 more
wiley   +1 more source

Virtual Reality Games for Motor Rehabilitation [PDF]

, 2006
This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a ...
Charles, D., Ma, Minhua, McDonough, S., McNeill, M.   +3 more
core  

Insight into Mo2C Nanoplates Growth by Means of Scanning Electrochemical Cell Microscopy for High‐Resolution Electrocatalytic Hydrogen Evolution Activity Mapping

Small Science, Volume 5, Issue 10, October 2025.
High‐resolution scanning electrochemical cell microscopy reveals a size‐activity relationship in hexagonal α‐Mo2C nanoplates for the hydrogen evolution reaction (HER). Smaller nanoplates (<10 μm) show superior catalytic activity due to minimal native oxide species formation, low presence of step‐edges, and residual material.
Geovane Arruda de Oliveira, David E. Sanchez, Alexander J. Sredenschek, Andres Fest, Moonjoo Kim, Carla Santana Santos, Mauricio Terrones, Wolfgang Schuhmann, Daniel Grasseschi   +8 more
wiley   +1 more source

Mapping Spatiotemporal Variations of Near‐Surface Seismic Velocity to Monitor Groundwater in Central Oklahoma

Geophysical Research Letters, Volume 52, Issue 17, 16 September 2025.
Abstract Global climate changes have intensified drought events, necessitating accurate groundwater monitoring. Traditional methods often lack the spatial and temporal resolution to track groundwater variations. This study calculates instantaneous travel‐time shifts, dt(t) $dt(t)$, from ambient noise cross‐correlation functions in central Oklahoma and ...
Shuo Zhang, Bingxu Luo, Yujie Zheng, David Lumley, Mrinal K. Sen, Hejun Zhu   +5 more
wiley   +1 more source

Extracting epilepsy‐related information from unstructured clinic letters using large language models

Epilepsia, Volume 66, Issue 9, Page 3369-3384, September 2025.
Abstract Objective The emergence of large language models (LLMs) and the increasing prevalence of electronic health records (EHRs) present significant opportunities for advancing health care research and practice. However, research that compares and applies LLMs to extract key epilepsy‐related information from unstructured medical free text is under ...
Shichao Fang, Ben Holgate, Anthony Shek, Joel S. Winston, Matthew McWilliam, Pedro F. Viana, James T. Teo, Mark P. Richardson   +7 more
wiley   +1 more source

Controls of Gouge Heterogeneity on Cyclic Reactivation of Fault‐Valve Systems

Geophysical Research Letters, Volume 52, Issue 14, 28 July 2025.
Abstract Fault zones are inherently heterogeneous and exert significant impacts on fluid injection‐induced activities. We conducted Low‐velocity shear experiments on homogeneous (HM) and layered (LM) clay‐quartz mixtures representing gouge heterogeneity under double direct‐shear and constant fluid injection. Cyclic fault‐valve is activated in LM faults
Zhen Zhong, Zheye Song, Bo Li, Derek Elsworth, Yunjin Hu, Fengshou Zhang, Zhiyuan Chen   +6 more
wiley   +1 more source

Stochastic Differential Equation Approach as Uncertainty‐Aware Feature Recalibration Module in Image Classification

International Journal of Imaging Systems and Technology, Volume 35, Issue 4, July 2025.
ABSTRACT Despite significant advancements in image classification, deep learning models struggle to accurately discern fine details in images, producing overly confident and imbalanced predictions for certain classes. These models typically employ feature recalibration techniques but do not account for the underlying uncertainty in predictions ...
Romen Samuel Wabina, Prut Saowaprut, Junwei Yang, Christine Wagas Pitos   +3 more
wiley   +1 more source