Article
Computer Science, Information Systems
Mohammad Masroor Ahmed, Saleh Al Shehri, Jawad Osman Arshed, Mahmood Ul Hassan, Muzammil Hussain, Mehtab Afzal
Summary: The study introduces an improved image segmentation model WSCFMM, which shows significant improvement in performance compared to SCMM when segmenting simulated MRI images, achieving higher accuracy and greatly reducing execution time.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Automation & Control Systems
Nurul Afiqah Burhanuddin, Mohd Bakri Adam, Kamarulzaman Ibrahim
Summary: The paper introduces a constrained Dirichlet process mixture model with labels as side information, which can give clusters with similar labels higher preference and handle multiple side information. Empirical results show that the proposed method consistently improves clustering performance with more labeled data, and rarely performs worse than its unsupervised counterpart even with noisy labels.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Review
Physics, Multidisciplinary
Cameron Hoerig, Jamshid Ghaboussi, Yiliang Wang, Michael F. Insana
Summary: The Autoprogressive Method (AutoP) is a new approach to solving the inverse problem in quasi-static ultrasonic elastography (QUSE), which uses artificial neural networks and finite element analysis to build patient specific computational material models. Originally applied in geotechnical and civil engineering applications, AutoP has been adapted for reconstructing material property maps in cancer imaging. By combining rigorous mathematical techniques with machine learning, AutoP offers a unique way to address difficult inverse problems.
FRONTIERS IN PHYSICS
(2021)
Article
Biophysics
Amadeus M. Gebauer, Martin R. Pfaller, Fabian A. Braeu, Christian J. Cyron, Wolfgang A. Wall
Summary: Cardiac growth and remodeling (G & R) patterns are influenced by various factors, such as biomechanical, neurohormonal, and genetic stimuli, leading to changes in ventricular size, shape, and function. Existing models of G & R in the heart focus on bulk tissue growth without considering underlying cellular mechanisms. In this study, a microstructure-motivated model based on the homogenized constrained mixture theory is proposed, which takes into account intra- and extracellular turnover processes and preferred homeostatic stretch state of myocardial tissue constituents. This realistic model has the potential to identify heart failure risks, personalize cardiac therapies, and optimize medical device design.
BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
(2023)
Article
Mechanics
Ahmed A. Shabana, Mahmoud Elbakly, Moataz Abdalla, Ahmed E. Eldeeb
Summary: This paper proposes an approach for thermal analysis of articulated systems subject to boundary and motion constraints. The approach captures large temperature fluctuations, significant change in geometry, and geometric nonlinearity due to large displacements and spinning motion of articulated mechanical systems. It utilizes a new sweeping matrix technique to determine thermal-expansion displacements and defines a new quadratic thermal-energy kinetic form to formulate a dynamic force vector. Nodal thermal displacements are used to formulate differential/algebraic equations, and the proposed approach allows for the integration with multibody system algorithms for the study of various thermo-elasticity problems.
MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES
(2023)
Article
Engineering, Electrical & Electronic
Jianjun Sun, Yan Zhao, Shigang Wang, Jian Wei
Summary: This paper introduces a Gaussian Mixture Model (GMM) constrained by Markov Random Field (MRF) framework for image compression, optimizing parameters selection with adjusted Expectation-Maximization (EM) algorithm and Mixture Model Optimization (MMO). The method encodes parameters using fixed-length bits and uses a codebook to improve efficiency, with the residual encoded using HEVC intra coding. Experimental results demonstrate superior performance compared to HEVC, JPEG 2000, and BPG.
Article
Environmental Sciences
Jie Yu, Bin Wang, Yi Lin, Fengting Li, Jianqing Cai
Summary: Spectral unmixing has attracted attention in data processing. The novel inequality-constrained weighted linear mixture model (IWLMM) proposed in this study outperforms other linear and nonlinear unmixing models by addressing endmember variability and improving decomposing and reconstructing abilities.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Biotechnology & Applied Microbiology
Alvaro Navarrete, Andres Utrera, Eugenio Rivera, Marcos Latorre, Diego J. Celentano, Claudio M. Garcia-Herrera
Summary: The Constrained Mixture Model is a novel approach to describe arterial wall mechanics, which considers the arterial wall as a mixture of load-bearing constituents and determines its material parameters and deposition stretch values through an iterative fitting procedure. Experimental data is used to calibrate the model and establish a strong consistency between the model and experimental data.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Volodymyr Melnykov, Yang Wang
Summary: Finite mixture models may face the risk of overparameterization due to a potentially high number of parameters, even with a moderate number of components. To address this issue, one popular approach is to consider parsimonious models that reduce the number of parameters, often focusing on the reparameterization of covariance matrices. In this study, an alternative approach based on the parsimonious parameterization of location parameters is proposed, which offers remarkable modeling flexibility, especially in the presence of non-compact clusters. The proposed method allows for speedy parameter estimation through the EM algorithm and is demonstrated on synthetic and well-known classification data sets.
PATTERN RECOGNITION
(2023)
Article
Biophysics
Joan D. Laubrie, S. Jamaleddin Mousavi, Stephane Avril
Summary: This article discusses the evolution of mechanical and structural properties in the Ascending Thoracic Aorta (ATA) and addresses the numerical challenges in developing computational models for these processes. The study introduces prestretches with a three-dimensional gradient in the homeostatic reference state to ensure stable growth and remodeling simulations on patient-specific curved vessels. The results highlight the importance of initial prestretches in both the stability of numerical simulations and the growth and remodeling response.
BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
(2022)
Article
Multidisciplinary Sciences
Lauranne Maes, An-Sofie Cloet, Inge Fourneau, Nele Famaey
Summary: By replicating the mechanical stimulus and mechanobiological effects in biomechanical simulations, predictive finite-element models can help predict long-term outcomes of treatments for restenosis, increase understanding of restenosis formation, and optimize treatment strategies. The comparison of model results with clinical and experimental data demonstrates its relevance and ability to predict different remodeling responses and the importance of biomechanical understanding in restenosis formation.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2021)
Article
Engineering, Electrical & Electronic
Ge Zhang, Shaohui Mei, Yan Feng, Qian Du
Summary: This study introduces a spectral-spatial constrained unmixing method based on nonnegative matrix factorization (NMF), which improves the performance of unmixing by imposing spatial and spectral constraints. Experimental results on synthetic and real-world datasets demonstrate the effectiveness of the proposed method in comparison to state-of-the-art NMF-based unmixing algorithms.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Engineering, Industrial
Zhaolin Hu, Wenjie Sun, Shushang Zhu
Summary: This article discusses input modeling and solution techniques for Chance Constrained Programs (CCPs), proposing the use of a Gaussian Mixture Model (GMM) and exploring alternative optimization techniques for practical scenarios. Numerical experiments are conducted to demonstrate the efficiency of the approach, along with an example of a hedge fund portfolio to illustrate the practical application of the method.
Article
Social Sciences, Interdisciplinary
Seuk Yen Phoong, Shi Ling Khek, Seuk Wai Phoong
Summary: This study reviews the literature on finite mixture models through bibliometric analysis, revealing an increasing trend in annual publications and identifying key journals and highly cited articles. Network analysis is also conducted to explore scientific cooperation in the field of finite mixture model studies. The study proposes a research agenda based on the current state and population trends of finite mixture models.
Article
Engineering, Multidisciplinary
Edoardo Mainini, Roberto Ognibene, Danilo Percivale
Summary: This article presents an approximation result for the pure traction problem in linearized elasticity, using local minimizers of finite elasticity under the constraint of vanishing average curl for admissible deformation maps. When suitable rotations are included in the constraint, the limit is shown to be the linear elastic equilibrium associated to rotated loads.
JOURNAL OF ELASTICITY
(2022)
Article
Mathematics, Interdisciplinary Applications
Boris Jalusic, Jurica Soric, Tomislav Jarak
COMPUTATIONAL MECHANICS
(2017)
Article
Engineering, Multidisciplinary
Tomislav Lesicar, Jurica Soric, Zdenko Tonkovic
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2016)
Article
Engineering, Biomedical
Lana Virag, John S. Wilson, Jay D. Humphrey, Igor Karsaj
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
(2017)
Article
Engineering, Mechanical
Tomislav Lesicar, Zdenko Tonkovic, Jurica Soric
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2017)
Article
Mechanics
Filip Putar, Jurica Soric, Tomislav Lesicar, Zdenko Tonkovic
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2017)
Article
Thermodynamics
Mato Peric, Zdenko Tonkovic, Igor Karsaj, Dragi Stamenkovic
Article
Mathematics, Interdisciplinary Applications
Tomislav Lesicar, Zdenko Tonkovic, Jurica Soric
COMPUTATIONAL MECHANICS
(2014)
Article
Engineering, Multidisciplinary
Nino Horvat, Lana Virag, Gerhard A. Holzapfel, Jurica Soric, Igor Karsaj
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2019)
Article
Biophysics
Nino Horvat, Lana Virag, Igor Karsaj
Summary: ILT deposition in abdominal aortic aneurysms (AAAs) helps to slow down growth by redirecting blood pressure loading from axial-radial plane to predominantly radial direction. The ratio of ILT volume to volume sac is an important factor in AAA stabilization, with fully thrombosed aneurysms stabilizing quicker and at smaller maximum diameters compared to partially thrombosed ones. However, ILT formation and the associated mural stress decrease negatively impact the wall constituent production and thickness.
BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
(2021)
Article
Materials Science, Multidisciplinary
Nino Horvat, Lana Virag, Gerhard A. Holzapfel, Igor Karsaj
Summary: This study introduces a fiber dispersion model into a growth and remodeling model of the aortic wall, along with a new definition of the fiber pre-stretch tensor. Results show that changes in fiber dispersions and mean fiber angles significantly affect aneurysm evolution and stress distribution. Increased fiber dispersion in certain layers can slow aneurysm growth, while a mean fiber direction closer to the circumferential direction results in a stiffer response and decreased aneurysm growth rate.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
(2021)
Article
Engineering, Biomedical
Josip Zivic, Lana Virag, Nino Horvat, Marija Smoljkic, Igor Karsaj
Summary: The study found that AAA morphology significantly influences its stability, and models established through numerical analysis have higher reliability. Newly proposed parameters like GRPI and NAL may better predict aneurysm rupture, and these parameters can be quickly computed.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
(2022)
Article
Materials Science, Multidisciplinary
Lana Virag, Nino Horvat, Igor Karsaj
Summary: This study presents a bio-chemo-mechanical mathematical model of thrombus-laden aneurysms, explaining the geometrical and structural spatiotemporal changes in the aneurysmal wall. It is found that later intraluminal thrombus formation is more dangerous than early deposition, and fully thrombosed AAA exhibits slower radial growth but more pronounced axial growth. Thrombus deposition also greatly impacts the shape and volume of the aneurysmal sac.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
(2023)
Proceedings Paper
Engineering, Mechanical
Jurica Soric, Tomislav Lesicar, Filip Putar, Zdenko Tonkovic
MULTISCALE MODELING OF HETEROGENEOUS STRUCTURES
(2018)
Article
Engineering, Biomedical
Lana Virag, John S. Wilson, Jay D. Humphrey, Igor Karsaj
ANNALS OF BIOMEDICAL ENGINEERING
(2015)
Proceedings Paper
Engineering, Mechanical
Tomislav Lesicar, Zdenko Tonkovic, Jurica Soric
ADVANCES IN FRACTURE AND DAMAGE MECHANICS XII
(2014)
Article
Engineering, Multidisciplinary
Tohya Kanahama, Motohiro Sato
Summary: This study theoretically explains the effect of initial deflection and initial slope on self-buckling characteristics of heavy columns and proposes a formula characterizing the self-buckling problem. The results show that the greatest height is proportional to the 2/3 power of radius, and the formula can potentially predict the height of tree-like natural structures.
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE
(2024)
Article
Engineering, Multidisciplinary
Aps Selvadurai, Alexander P. Suvorov
Summary: This paper examines the torsion of a solid cylinder made of a fluid-saturated porous medium with a hyperelastic porous skeleton. It analyzes the mechanics of the twisted cylinder in both short-term and long-term behaviors, using numerical solutions and the ABAQUSTM finite element code.
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE
(2024)
Article
Engineering, Multidisciplinary
S. Kanaun
Summary: This study focuses on spherical radially transverse isotropic heterogeneous inclusions in homogeneous isotropic conductive host media. The volume integral equation for the field in the medium with an isolated inclusion subjected to a constant external field is solved using Mellin-transform technique. The method allows revealing tensor structure of the solution with precision to one scalar function of radial coordinate. The study also investigates the influence of neutral inclusions and conductivity coefficients on the effective conductivity of the composite material.
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE
(2024)
Article
Engineering, Multidisciplinary
Marinos Kattis, Vassilis Tsitsos, Vassilis Karatzaferis
Summary: The proposed model utilizes continuum mechanics to describe the mechanical behavior of a weakened interface between materials with microstructure, simulating the weakened interface using a surface elastic medium adhering on either side with bulk elastic continua. The model is able to investigate the effect of a weakened interface on stress concentration around inhomogeneities embedded in an unbounded matrix of Cosserat materials.
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE
(2024)
Article
Engineering, Multidisciplinary
Shixiang Zhao, Yu. V. Petrov, Yuyi Zhang, G. A. Volkov, Zejian Xu, Fenglei Huang
Summary: This paper theoretically studies the thermal softening related to stress relaxation using the incubation time approach and examines the temperature-time correspondence. The developed relaxation model of plasticity (RP model) is analyzed and compared with other constitutive models and artificial neural networks. The advantages and disadvantages of different models are discussed, and the differences between the ANN model and other constitutive models are examined.
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE
(2024)
Article
Engineering, Multidisciplinary
Ivan I. Argatov, Federico J. Sabina
Summary: This study models a seismic metabarrier as a cluster of single-degree-of-freedom resonator units and considers the scattering effects on pulsed Rayleigh waves caused by the vertical displacements of the resonators and the normal contact forces. The variation of the amplitude reduction factor due to the model parameters variation is studied in detail.
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE
(2024)
