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Meshfree and particle methods in biomechanics: Prospects and challenges
The use of meshfree and particle methods in the field of bioengineering and biomechanics
has significantly increased. This may be attributed to their unique abilities to overcome most …
has significantly increased. This may be attributed to their unique abilities to overcome most …
Adaptive noise-resilient deep learning for image reconstruction in multimode fiber scattering
This research offers a comprehensive exploration of three pivotal aspects within the realm of
fiber optics and piezoelectric materials. The study delves into the influence of voltage …
fiber optics and piezoelectric materials. The study delves into the influence of voltage …
A novel and versatile copper-nanomagnetic catalyst for synthesis of propargylamines and diaryl sulfides
Z Liu, D Yuan, Y Su - Catalysis Letters, 2023 - Springer
In this paper, we shown that copper (II) complex supported on the surface of magnetic
nanoparticles modified with 2-methoxy-1-phenylethan-1-imine (Fe3O4@ SiO2-MPI-Cu (II) …
nanoparticles modified with 2-methoxy-1-phenylethan-1-imine (Fe3O4@ SiO2-MPI-Cu (II) …
[PDF][PDF] Magnetic nanofluid temperature distribution with different concentrations and diffusion of MNPs
Hyperthermia therapy using magnetic nanofluid is one method to regulate and optimize
temperature, which is a substantial challenge in practice. The generated heat through the …
temperature, which is a substantial challenge in practice. The generated heat through the …
Three-dimensional dynamics of falling droplet impact on a thin liquid substrate: a lattice Boltzmann study
This paper presents a numerical investigation of the three-dimensional dynamics of droplet
impact on a thin liquid substrate using the lattice Boltzmann method (LBM). The LBM solver …
impact on a thin liquid substrate using the lattice Boltzmann method (LBM). The LBM solver …
[PDF][PDF] A statistical analysis to develop machine learning models: Prediction of user diet type
AR Tayade, H Safari-Katesari - 2023 - researchgate.net
In this paper, we aim to develop a machine learning model to predict a user's diet type
based on various features. With the growing trend of fitness application development and …
based on various features. With the growing trend of fitness application development and …
Deep Learning-Based Image Reconstruction From Multimode Fiber: Comparative Evaluation of Various Approaches
M Mohammadzadeh - 2024 - search.proquest.com
This dissertation presents three distinct methodologies aimed at exploring pivotal aspects
within the domain of fiber optics and piezoelectric materials. The first approach offers a …
within the domain of fiber optics and piezoelectric materials. The first approach offers a …
Electrical Equivalent Circuit of Split-Shaft Wind Energy Conversion Systems
In recent years, hydraulic wind energy conversion systems have been introduced as a split-
shaft drivetrain. This paper presents a methodology to electrically model and design split …
shaft drivetrain. This paper presents a methodology to electrically model and design split …
Split-Shaft Wind Energy Conversion Systems Scalability and Components Selection
This paper presents a methodology to evaluate the scalability and performance of split-shaft
wind energy conversion systems based on a hydraulic transmission system. First, for such a …
wind energy conversion systems based on a hydraulic transmission system. First, for such a …
[PDF][PDF] Numerical Simulation of Fluid Flow with Real Viscosity in a Centrifugal Pump by SPH Method
AA Pirkhalili… - … of Modeling in …, 2023 - modelling.semnan.ac.ir
In this paper, the Smoothed Particle Hydrodynamics (SPH) method with dynamic boundary
condition has been used to simulate 3D fluid flow in a centrifugal pump. Severe fluctuations …
condition has been used to simulate 3D fluid flow in a centrifugal pump. Severe fluctuations …