Results 131 to 140 of about 265,148 (311)

Radial basis function network learns ceramic processing and predicts related strength and density [PDF]

Radial basis function (RBF) neural networks were trained using the data from 273 Si3N4 modulus of rupture (MOR) bars which were tested at room temperature and 135 MOR bars which were tested at 1370 C.
Baaklini, George Y., Cios, Krzysztof J., Tjia, Robert E., Vary, Alex   +3 more
core   +1 more source

A Sacrificial 3D Printed Vessel‐on‐Chip Demonstrates a Versatile Approach to Model Granulation Tissue

Advanced Healthcare Materials, EarlyView.
A novel method that combines 3D printing and organ‐on‐chip technology enables the creation of hollow channels lined with endothelial cells through a fibroblast‐populated connective tissue matrix. The model supports stable metabolic culture conditions, angiogenic sprouting, and immune cell migration, thereby demonstrating an easy and versatile method to
Jonas Jäger, Phil Berger, Andrew I. Morrison, Hendrik Erfurth, Maria Thon, Eva‐Maria Dehne, Susan Gibbs, Jasper J. Koning   +7 more
wiley   +1 more source

Smart Catheters for Diagnosis, Monitoring, and Therapy

Advanced Healthcare Materials, EarlyView.
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman, Samiha Ahmed, Majed Othman Althumayri, Megan Guy, Darlenne Chavez Lugo, Frances S. Ligler, George T. Ligler, Rahmi Oklu, Hiroshi Kawahira, Michael J. McShane, Jun Kameoka, Jonathan Bova, Hatice Ceylan Koydemir   +12 more
wiley   +1 more source

Flash-flood forecasting by means of neural networks and nearest neighbour approach ? a comparative study

, 2006
International audienceIn this paper, Multi-Layer Perceptron and Radial-Basis Function Neural Networks, along with the Nearest Neighbour approach and linear regression are utilized for flash-flood forecasting in the mountainous Nysa Klodzka river ...
Napiórkowski, J. J., Piotrowski, A., Rowi?ski, P.M.   +2 more
core  

Patient‐Derived 3D Bioprinted Cardiac Organoid Constructs Reveal Key Pathological Features of Duchenne Muscular Dystrophy

Advanced Healthcare Materials, EarlyView.
Patient‐derived cardiac organoids reveal key features of Duchenne muscular dystrophy cardiomyopathy, including apoptosis, oxidative stress, calcium handling defects, and mechanical remodeling. By integrating organoids into alginate–gelatin bioprinted constructs, disease phenotypes are organized into scalable 3D cardiac tissues displaying extracellular ...
Vittoria Marini, Margalida Campaner Socias, Andreas Dimopoulos, Lorenza Rinvenuto, Enrico Pozzo, Diana Stalkopf, Angelo Serafini, Sara Morri, Ashley Wang, Rita La Rovere, Yoke Chin Chai, Sveva Bollini, Geert Bultynck, H. Llewelyn Roderick, Ioannis Papantoniou, Maurilio Sampaolesi   +15 more
wiley   +1 more source

Incorporating efficient radial basis function networks and significant amino acid pairs for predicting GTP binding sites in transport proteins. [PDF]

BMC Bioinformatics, 2016
Le NQ, Ou YY.
europepmc   +1 more source

A clustering technique for digital communications channel equalization using radial basis function networks

IEEE Trans. Neural Networks, 1993
Sheng Chen, B. Mulgrew, P. Grant
semanticscholar   +1 more source

Dynamic Modulation of the Microenvironment Promotes Functional Maturation of Engineered Tissues

Advanced Healthcare Materials, EarlyView.
Engineered tissues lack the dynamic microenvironment of native tissues. A biocompatible, diffusible small molecule to dynamically modulate tissue microenvironments during maturation is used. Timing‐dependent modulation yields distinct outcomes, producing thicker, more native‐like blood vessels, stronger and more mature cardiac tissues, and optimized ...
Eric Silberman, Hadas Oved, Itay Gil, Amgad Marzook, Ester Sapir Baruch, Yahel Shechter, Assaf Shapira, Tal Dvir   +7 more
wiley   +1 more source

Enhanced Image Reconstruction in Electrical Impedance Tomography using Radial Basis Function Neural Networks

Measurement Science Review
This paper presents a novel cascade algorithm for image reconstruction in electrical impedance tomography (EIT) using radial basis function neural networks. The first subnetwork applies a density-based algorithm and k-nearest neighbors (KNN) to determine
Nomvussi Serge Ayme Kouakouo, Mikulka Jan   +1 more
doaj   +1 more source

Novel Online Dimensionality Reduction Method with Improved Topology Representing and Radial Basis Function Networks. [PDF]

PLoS One, 2015
Ni S, Lv J, Cheng Z, Li M.
europepmc   +1 more source