Results 91 to 100 of about 265,148 (311)

Machine Learning Application of Generalized Gaussian Radial Basis Function and Its Reproducing Kernel Theory

Mathematics
Gaussian Radial Basis Function Kernels are the most-often-employed kernel function in artificial intelligence for providing the optimal results in contrast to their respective counterparts.
Himanshu Singh
doaj   +1 more source

Boosting Estimation of RBF Neural Networks for Dependent Data [PDF]

This paper develops theoretical results for the estimation of radial basis function neural network specifications, for dependent data, that do not require iterative estimation techniques.
Andrew P. Blake, George Kapetanios
core  

Shape‐Morphing Nanoengineered Hydrogel Ribbons as Hemostats

Advanced Functional Materials, EarlyView.
This study introduces a self‐assembling, shape‐morphing nanoengineered hydrogel ribbon system that rapidly forms porous aggregates in situ for efficient hemostasis in trauma and surgical applications. Abstract Rapid and effective hemorrhage control remains a major challenge in trauma and surgical care, particularly for complex or noncompressible wounds.
Ryan Davis Jr, Saptarshi Biswas, Jacob Aragon, Asaf Dana, Jasmine Sureka, Vaaridhi Ramanuja, Jeevika Thazhaiselvam, Sarah E. Miller, Taylor H. Ware, Akhilesh K. Gaharwar   +9 more
wiley   +1 more source

Artificial intelligence to predict bed bath time in Intensive Care Units [PDF]

Revista Brasileira de Enfermagem
Objectives: to assess the predictive performance of different artificial intelligence algorithms to estimate bed bath execution time in critically ill patients.
Luana Vieira Toledo, Leonardo Lopes Bhering, Flávia Falci Ercole   +2 more
doaj   +1 more source

Packet switching networks traffic prediction based on radial basis function neural network [PDF]

, 2010
New multimedia applications require Quality of Service support, which is still not successfully implemented in current packet-switched networks implementations.
Kacprzak, Tomasz, Zaleski, Arkadiusz
core  

Electrochemically Driven Dissipative Growth of Affinity Hydrogels for Bioresponsive Interfaces

Advanced Functional Materials, EarlyView.
Voltage pulses drive the growth and reinforcement of hydrogel films under dissipative conditions. This biocompatible strategy enables efficient integration of affinity ligands into the hydrogel matrix, enhancing the selective capture of growth factors and allowing precise temporal control over their release, making them well‐suited as adaptive ...
Roberto Baretta, Marco Frasconi
wiley   +1 more source

Adaptive 4D‐Printed Vascular Stents With Low‐Temperature‐Activated and Intelligent Deployment

Advanced Functional Materials, EarlyView.
Microarchitected coronary artery stents were fabricated using a polycaprolactone (PCL)‐based shape memory polymer (SMP) composite via projection micro‐stereolithography (PµSL) 4D printing. By incorporating diethyl phthalate (DEP) as a plasticizer, the thermal transition temperature (Ttran) was modulated to about 37°C, enabling rapid and autonomous ...
Yannan Li, Yifan Pan, Chikahiro Imashiro, Chaolun Xu, Jianxian He, Jingao Xu, Kewei Song, Ze Zhang, Chen Gao, Junbo Jiang, Runhuai Yang, Kayo Hirose, Shinjiro Umezu   +12 more
wiley   +1 more source

Dynamic model updating using neural networks

Computer Assisted Methods in Engineering and Science, 2023
The paper presents an application of Artificial Neural Networks for updating a mathematical model of the structure based on dynamic parameters. Neural networks which predict the value of selected stiffness or concentrated masses on the basis of ...
Leonard Ziemiański, Bartosz Miller
doaj  

Numerical analysis of corrugated tube flow using RBFNs [PDF]

, 2004
This paper reports the application of neural networks for the numerical analysis of steady-state axisymmetric flow through an indefinitely long corrugated tube.
Mai-Duy, Nam, Tanner, Roger I.
core  

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source