Results 81 to 90 of about 538,176 (266)

Compactly supported radial basis functions: how and why? [PDF]

open access: yes, 2012
The use of radial basis functions have attracted increasing attention in recent years as an elegant scheme for high-dimensional scattered data approximation, an accepted method for machine learning, one of the foundations of mesh-free methods, an ...
Zhu, S.
core   +3 more sources

Hardware radial basis function neural network automatic generation

open access: yesJournal of Computer Science and Technology, 2011
This paper presents a parallel architecture for a radial basis function (RBF) neural network used for pattern recognition. This architecture allows defining sub-networks which can be activated sequentially.
Lucas Leiva, Nelson Acosta
doaj  

Biodegradable and Recyclable Luminescent Mixed‐Matrix‐Membranes, Hydrogels, and Cryogels based on Nanoscale Metal‐Organic Frameworks and Biopolymers

open access: yesAdvanced Functional Materials, EarlyView.
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner   +4 more
wiley   +1 more source

Combinatorial Synthesis of Next Generation Water‐Soluble Quaternized N‐Halamine Oligomers with Long‐Lasting Antiviral Properties

open access: yesAdvanced Functional Materials, EarlyView.
A combinatorial library of dual‐functional antiviral oligomers incorporating N‐halamine and quaternary ammonium functionalities is developed for long‐lasting antiviral activity. The lead materials exhibit rapid and durable antiviral activity against SARS‐CoV‐2 variants and influenza H1N1, with 4 to 5 log reduction in viral copies at 5 mg mL−1 ...
Eid Nassar‐Marjiya   +14 more
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

Coking energy consumption radial basis function prediction model improved by differential evolution algorithm

open access: yesMeasurement + Control, 2019
This paper presents a radial basis function prediction model improved by differential evolution algorithm for coking energy consumption process, which is very difficult to get online and real time because of the complex process. In the energy consumption
Wenhua Tao   +3 more
doaj   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Electroactive Metal–Organic Frameworks for Electrocatalysis

open access: yesAdvanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska   +7 more
wiley   +1 more source

Auto‐Generated Valence States in Electrocatalysts for Boosting Oxygen and Hydrogen Evolution Kinetics in Alkaline Water/Alkaline Seawater/Simulated Seawater/Natural Seawater

open access: yesAdvanced Functional Materials, EarlyView.
This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari   +4 more
wiley   +1 more source

Electrochemically Driven Dissipative Growth of Affinity Hydrogels for Bioresponsive Interfaces

open access: yesAdvanced 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

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