Intelligent computing with Levenberg-Marquardt artificial neural network for Carbon nanotubes-water between stretchable rotating disks. [PDF]
Ali F +5 more
europepmc +1 more source
ABSTRACT Counterflow heat exchangers (CHXs) thermally couple consumers and producers to a district heating network (DHN). Fluctuating loads and control actions naturally lead to unsteady operation conditions of the network and its components, posing a challenge for DHN models and CHX parameterizations based on Nusselt correlations that assume steady ...
Marten Klein +5 more
wiley +1 more source
Application of Levenberg-Marquardt technique for electrical conducting fluid subjected to variable viscosity. [PDF]
Shah Z +6 more
europepmc +1 more source
Stabilizing Plasmodium falciparum proteins for small molecule drug discovery
Abstract Early‐stage drug discovery relies on the availability of stable protein for reliable biophysical characterization of ligand binding. However, many Plasmodium falciparum proteins are challenging to produce in heterologous systems, which limits their experimental utility.
Marius Amann +3 more
wiley +1 more source
Mathematical model estimation and prediction application of Covid-19 infection in Indonesia using Levenberg-Marquardt Algorithm based on Python. [PDF]
Aryatama FY, Kurniadi FI, Manik NI.
europepmc +1 more source
FilmQADose: Open‐source software for radiochromic film dosimetry
Abstract Purpose FilmQADose is an open‐source, Python‐based software for radiochromic film dosimetry, designed to provide medical physicists with a freely available, extensible tool for two‐dimensional dose verification in radiotherapy. It covers the full film QA workflow, from calibration curve generation to plan‐to‐film comparison, targeting clinical
Eduardo Herrera‐Alba +4 more
wiley +1 more source
Parameters Identification for Lithium-Ion Battery Models Using the Levenberg–Marquardt Algorithm
The increasing adoption of batteries in a variety of applications has highlighted the necessity of accurate parameter identification and effective modeling, especially for lithium-ion batteries, which are preferred due to their high power and energy ...
Ashraf Alshawabkeh +2 more
doaj +1 more source
A Hybrid Levenberg-Marquardt Algorithm on a Recursive Neural Network for Scoring Protein Models. [PDF]
Faraggi E, Jernigan RL, Kloczkowski A.
europepmc +1 more source
Abstract Background Quantitative assessment of myocardial perfusion using 13N‐ammonia PET with compartmental modeling enables evaluation of myocardial flow reserve (MFR) and prediction of patient prognosis. However, the reliability of these assessments can depend on the analytical methods used for quantitation.
Naochika Akiya +13 more
wiley +1 more source
At several applications of computer vision is necessary to estimate parameters for a specific model which best fits an experimental data set. For these cases, a minimization algorithm might be used and one of the most popular is the Levenberg ...
Tiago Polizer da Silva +3 more
doaj

