Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 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
Imfit: A Fast, Flexible New Program for Astronomical Image Fitting
I describe a new, open-source astronomical image-fitting program called Imfit, specialized for galaxies but potentially useful for other sources, which is fast, flexible, and highly extensible.
Erwin, Peter
core +1 more source
ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq +4 more
wiley +1 more source
Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging
Many graphics and vision problems can be expressed as non-linear least squares optimizations of objective functions over visual data, such as images and meshes.
Bernstein, Gilbert +8 more
core +1 more source
Quantum Levenberg--Marquardt Algorithm for optimization in Bundle Adjustment
In this paper we develop a quantum optimization algorithm and use it to solve the bundle adjustment problem with a simulated quantum computer. Bundle adjustment is the process of optimizing camera poses and sensor properties to best reconstruct the three-dimensional structure and viewing parameters.
Bernecker, Luca, Idini, Andrea
openaire +2 more sources
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao +3 more
wiley +1 more source
Solid Particle Erosion and Predictive Modeling of Epoxy Composites Reinforced With Diatom Frustules
Schematic representation of the solid particle erosion process and predictive modeling workflow for diatom frustule‐reinforced epoxy composites, illustrating the test setup, erosion response curve, and filler‐matrix interaction. ABSTRACT This study examines the solid particle erosion wear behavior of epoxy composites reinforced with 5–20 wt% calcined ...
Elif Gültürk +4 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
Comparison of the Coating Structure of Silicon‐Based PECVD Coatings With Varying Organic Content
Silicon‐based PECVD coatings transition abruptly from organic SiOCH to oxidic SiOx at ~32 at% silicon, exhibiting threshold behavior in barrier performance. Chemical composition seems to dominate over porosity: SiOx coatings unexpectedly show higher porosity yet superior barrier properties, possibly due to rigid cage‐like molecular structures ...
Jonas Franke +7 more
wiley +1 more source

