Results 91 to 100 of about 274,124 (332)

Swelling‐Programmed Topographical Guidance for Dynamic Spheroid Self‐Assembly via a Mechanochemical Hydrogel Niche

open access: yesAdvanced Functional Materials, EarlyView.
A swelling‐programmed micropatterned hydrogel guides adherent cells through a controlled transition from cell–matrix anchoring to cadherin‐mediated cell–cell compaction, enabling rapid assembly of high‐viability spheroids with defined size and morphology.
Han Gyeol Nam   +8 more
wiley   +1 more source

Mathematical Modeling on a Physics-Informed Radial Basis Function Network

open access: yesMathematics
The article is devoted to approximate methods for solving differential equations. An approach based on neural networks with radial basis functions is presented. Neural network training algorithms adapted to radial basis function networks are proposed, in
Dmitry Stenkin, Vladimir Gorbachenko
doaj   +1 more source

Prediksi Harga Saham Perusahaan Kelapa Sawitmenggunakan Pemodelan Mlp dan Rbf [PDF]

open access: yes, 2014
There is great demand estimation method to obtain accurate predictions of the future and use the predictions to the decision making process. This study aims to estimate the daily stock price PT.Astra Agro Lestari Tbk, Indonesia\u27s crude oil company ...
Dewi, L. S. (Linda)
core   +1 more source

Auxeticity‐by‐Assembly: Interlocking Modular Auxetic Metamaterials with Selectively Activatable AgNW–Graphene Oxide‐EGaIn Composite Interconnects for Scalable Freeform Photovoltaic Modules

open access: yesAdvanced Functional Materials, EarlyView.
Auxeticity‑by‑Assembly converts freeform photovoltaics from cut‑defined layouts to assembly‑defined systems. Standardized interlocking units generate negative‑Poisson‑ratio, reconfigurable architectures, while hinge regions are wired by selectively activatable AgNW–GO@EGaIn composite interconnects and a folding‑enabled interconnector layer. A decimeter‑
Seok Joon Hwang   +15 more
wiley   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

open access: yesAdvanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source

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

open access: yesMathematics
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

Optoelectronic Control of Redox Dynamics in POM Memristors for Noise‐Resilient Speech and Hardware‐Level Motion Recognition

open access: yesAdvanced Functional Materials, EarlyView.
Optoelectronic control of redox‐active polyoxometalate clusters in polymer matrices yields hybrid memristors with switchable volatile and non‐volatile modes, enabling reservoir‐type in‐sensor optical preprocessing and stable multilevel synapses for multimodal neuromorphic computing, including noise‐tolerant audiovisual keyword recognition and hardware ...
Xiangyu Ma   +13 more
wiley   +1 more source

Bioactive Conductive Ti3C2Tx‐Ce Hydrogel Facilitates Spinal Cord Injury Repair Through ROS Scavenging and Mitochondrial Regulation

open access: yesAdvanced Functional Materials, EarlyView.
Bioactive conductive Ti3C2Tx‐Ce hydrogels with with scavenging ROS and alleviating neuronal mitochondrial dysfunction are exploited for SCI treatment. This functionality is attributed to interfacial activation modification of Ti3C2Tx with Ce3+ ions to in‐situ form Ce(OH)x‐mediated protective layer, which is beneficial to enabling stable intracellular ...
Weikang Wang   +12 more
wiley   +1 more source

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

open access: yes
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  

Numerical analysis of corrugated tube flow using RBFNs [PDF]

open access: yes, 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  

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