Powder‐to‐Film Conversion of Nickel Single‐Atom Catalysts into Binder‐Free and Resistant Electrodes
A reproducible strategy is reported for fabricating standalone thin‐film electrodes composed of CNx‐supported Ni single‐atom catalysts. The resulting binder‐free electrodes exhibit robust stability, enhanced charge transfer, and superior electrochemical performance, offering scalable opportunities for applications in electrochemistry. ABSTRACT Although
Milla Vigliengo +8 more
wiley +1 more source
Monopulse forward-looking imaging algorithm based on Levenberg–Marquardt optimisation
With precise angle measurement, traditional monopulse techniques for forward-looking imaging can acquire exact angle information of one single target within a radar beam. However, when multiple targets exist in a beam, it is difficult to resolve them. To
Tao Zhou +4 more
doaj +1 more source
Parameter estimation of Stochastic Logistic Model : Levenberg-Marquardt Method [PDF]
In this paper, we estimate the drift and diffusion parameters of the stochas- tic logisticmodels for the growth of Clostridium Acetobutylicum P262 using Levenberg- Marquardt optimization method of non linear least squares.
Abd. Rahman, Haliza +5 more
core
Distributed Bragg Reflector Based on Plasmonic Ag: Plasma Polymer Nanocomposites
This paper presents a comprehensive approach for the optical design and validation of silver nanocomposite‐based Distributed Bragg Reflectors (DBRs). It describes deriving material properties (n, k) and using them to predict the performance of the deposited optical stack, as well as to characterize imperfections in the DBR deposition, or even to ...
Zdeněk Krtouš +7 more
wiley +1 more source
EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASE
Artificial Neural Networks as one of the Artificial Intelligence applications, which is the leading candidate for the greatest innovation of the century, has been started to be used in solving the complex problems of the economy for a while. Among them,
Ayça Sarıalioğlu Hayali +1 more
doaj +1 more source
Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution
Motion estimation across low-resolution frames and the reconstruction of high-resolution images are two coupled subproblems of multi-frame super-resolution.
Bercea, Cosmin +2 more
core +1 more source
A feasible and automatic free tool for T1 and ECV mapping [PDF]
Purpose: Cardiac magnetic resonance (CMR) is a useful non-invasive tool for characterizing tissues and detecting myocardial fibrosis and edema. Estimation of extracellular volume fraction (ECV) using T1 sequences is emerging as an accurate biomarker in ...
Altabella, Luisa +8 more
core +1 more source
Continuum Mechanics Modeling of Flexible Spring Joints in Surgical Robots
A new mechanical model of a tendon‐actuated helical extension spring joint in surgical robots is built using Cosserat rod theory. The model can implicitly handle the unknown contacts between adjacent coils and numerically predict spring shapes from straight to significantly bent under actuation forces.
Botian Sun +3 more
wiley +1 more source
This paper presents an analysis of nonsynchronous rotor blade vibrations in the last stage of an LP steam turbine at various condenser pressures. The nonlinear least squares Levenberg–Marquardt method is used in a tip-timing analysis to determine ...
Romuald Rzadkowski +4 more
doaj +1 more source
Online Signature for Attendance Verification System using Levenberg-Marquardt Neural Network [PDF]
This work focuses on the application of Levenberg-Marquardt based Back-propagation Neural Network for training features extracted from online signature images.
Adefuminiyi, Morakinyo A. +2 more
core +1 more source

