Results 121 to 130 of about 129,126 (304)

Timing Is Everything: How Subtle Timing Changes in MRI Echo Planar Imaging Can Significantly Alter Mechanical Vibrations and Sound Level

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Echo‐Planar Imaging (EPI) is central to fMRI, diffusion MRI, and many dynamic clinical applications, yet rapid gradient switching induces strong mechanical vibrations, generates acoustic noise, and contributes to ghosting artifacts—effects that intensify at ultra‐high fields.
Amir Seginer, Alexander Bratch, Shahar Goren, Edna Furman‐Haran, Noam Harel, Essa Yacoub, Rita Schmidt   +6 more
wiley   +1 more source

Reduced‐Order Modeling of Energetic Materials Using Physics‐Aware Recurrent Convolutional Neural Networks in a Latent Space (LatentPARC)

Propellants, Explosives, Pyrotechnics, EarlyView.
Physics‐Aware Recurrent Convolutional Neural Networks (PARC) can reliably learn the thermomechanics of energetic materials as a function of morphology. This work introduces LatentPARC, which accelerates PARC by modeling the dynamics in a low‐dimensional latent space.
Zoë J. Gray, Joseph B. Choi, Youngsoo Choi, H. Keo Springer, H. S. Udaykumar, Stephen S. Baek   +5 more
wiley   +1 more source

Convolution theorem for non-degenerate maps and composite singularities [PDF]

, 1998
Tomohide Terasoma
openalex   +1 more source

Quantum Iterative Methods for Solving Differential Equations with Application to Computational Fluid Dynamics

Advanced Quantum Technologies, EarlyView.
Quantum algorithms for differential equations are developed with applications in computational fluid dynamics. The methods follow an iterative simulation framework, implementing Jacobi and Gauss–Seidel schemes on quantum registers through linear combinations of unitaries.
Chelsea A. Williams, Antonio A. Gentile, Vincent E. Elfving, Daniel Berger, Oleksandr Kyriienko   +4 more
wiley   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Experimental Investigations on the Impact of Operational Conditions on Bubble Dynamics and the Resulting Vibrations in Gas‐Stirred Ladles

steel research international, EarlyView.
This study applies sensitive vibration sensors to investigate gas bubble behavior in liquid metal during argon injection. Analysis of vibration signals provides insights into bubble evolution and the influence of gas flow and surface pressure. The results provide a basis for improved vibration‐based two‐phase flow models, enhancing accuracy in ...
Konstantinos Rigas, Bernd Willers, Sven Eckert, Björn Glaser   +3 more
wiley   +1 more source

A class of analytic functions based on convolution [PDF]

Surveys in Mathematics and its Applications, 2010
We introduce a class TSpg(α) of analytic functions with negative coefficients defined by convolution with a fixed analytic function g(z)=z+Σn=2∞bnzn, bn>0, |z|
H. Silverman, K.G. Subramanian, R. Thirumalaisamy, T.V. Sudharsan   +3 more
doaj  

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

A Berry-Esseen type limit theorem for Boolean convolution [PDF]

, 2018
Octavio Arizmendi, Mauricio Salazar
openalex   +1 more source

Dynamic Bayesian Network for Continuous Health Index Estimation and Condition Assessment of Power Transformers

High Voltage, EarlyView.
ABSTRACT To address the limitations of traditional transformer health index (HI), such as high dependence on data integrity and inability to assist in diagnosing latent faults, this study proposes an HI prediction method based on dynamic Bayesian network (DBN).
Shuaibing Li, Hongyu Li, Yi Cui, Yongqiang Kang   +3 more
wiley   +1 more source