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Johane H. Bracamonte, Sarah K. Saunders, John S. Wilson, Uyen T. Truong and Joao S. Soares
Inverse modeling approaches in cardiovascular medicine are a collection of methodologies that can provide non-invasive patient-specific estimations of tissue properties, mechanical loads, and other mechanics-based risk factors using medical imaging as in...
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Matthew Fox and Andrew Carter
Thermochronometry is widely used to track exhumation, the motion of rock towards Earth?s surface, and to gain fresh insights into geodynamic and geomorphic processes. Applications require models to reconstruct a rock?s cooling history as it is exhumed fr...
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Konstantinos V. Kostas and Maria Manousaridou
In this work, supervised Machine Learning (ML) techniques were employed to solve the forward and inverse problems of airfoil and hydrofoil design. The forward problem pertains to the prediction of a foil?s aerodynamic or hydrodynamic performance given it...
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Rodrigo Valdés-Pineda, Juan B. Valdés, Sungwook Wi, Aleix Serrat-Capdevila and Tirthankar Roy
The combination of Hydrological Models and high-resolution Satellite Precipitation Products (SPPs) or regional Climatological Models (RCMs), has provided the means to establish baselines for the quantification, propagation, and reduction in hydrological ...
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Giulia Pascoletti, Alessandra Aldieri, Mara Terzini, Pinaki Bhattacharya, Michele Calì and Elisabetta M. Zanetti
Patient-specific, 3D CAD model of the mandible and of the proximal femur can be obtained from a limited set of measurements; these models can be used for custom-made designs or for pre-operative planning.
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Máté Szucs, György Krállics, John Lenard
Pág. 165 - 172
The predictive abilities of several mathematical models of the cold, flat rolling process are tested by comparing their predictions to experimental measurements. The models include an empirical model, a one-dimensional model, a finite element model and a...
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Adam Wawrzynski and Julian Szymanski
To effectively process textual data, many approaches have been proposed to create text representations. The transformation of a text into a form of numbers that can be computed using computers is crucial for further applications in downstream tasks such ...
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Giampaolo D?Alessandro, Pantea Tavakolian and Stefano Sfarra
The present review aims to analyze the application of infrared thermal imaging, aided by bio-heat models, as a tool for the diagnosis of skin and breast cancers. The state of the art of the related technical procedures, bio-heat transfer modeling, and th...
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András Bóta and Lauren Gardner
Modeling the spread of infections in networks is a well-studied and important field of research. Most infection and diffusion models require a real value or probability at the edges of the network as an input, but this is rarely available in real-life ap...
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Jöran Rixen, Nico Blass, Simon Lyra and Steffen Leonhardt
Breast cancer is the leading cause of cancer-related death among women. Early prediction is crucial as it severely increases the survival rate. Although classical X-ray mammography is an established technique for screening, many eligible women do not con...
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Zhen Liu, Zhilong Zhang, Cuiying Zhou, Weihua Ming and Zichun Du
The inverse-distance weighting interpolation is widely used in 3D geological modeling and directly affects the accuracy of models. With the development of ?smart? or ?intelligent? geology, classical inverse-distance weighting interpolation cannot meet th...
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Wederson Leandro Ferreira, Marcelo Ângelo Cirillo
Pág. e34995
This work proposes an evaluation ? through data simulations ? of optimality criteria A and D in mixture designs built from a rotational design, considering a normal model and exploring the edge of zero in parts of simplex components, in addition to the a...
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Wederson Leandro Ferreira, Marcelo Ângelo Cirillo (Author)
Pág. e34995
This work proposes an evaluation ? through data simulations ? of optimality criteria A and D in mixture designs built from a rotational design, considering a normal model and exploring the edge of zero in parts of simplex components, in addition to the a...
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Sungwon Kim and Vijay P. Singh
The objective of this study is to develop artificial neural network (ANN) models, including multilayer perceptron (MLP) and Kohonen self-organizing feature map (KSOFM), for spatial disaggregation of areal rainfall in the Wi-stream catchment, an Internati...
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Pengyu Wei, Chuntong Li, Ze Jiang and Deyu Wang
Digital twins, an innovative technology propelled by data and models, play a seminal role in the digital transformation and intelligent upgrade of ships. This study introduces a digital twin methodology for the real-time monitoring of ship structure defo...
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Hichem Tahraoui, Selma Toumi, Amel Hind Hassein-Bey, Abla Bousselma, Asma Nour El Houda Sid, Abd-Elmouneïm Belhadj, Zakaria Triki, Mohammed Kebir, Abdeltif Amrane, Jie Zhang, Amin Aymen Assadi, Derradji Chebli, Abdallah Bouguettoucha and Lotfi Mouni
Monitoring stations have been established to combat water pollution, improve the ecosystem, promote human health, and facilitate drinking water production. However, continuous and extensive monitoring of water is costly and time-consuming, resulting in l...
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Zeyuan Zhao, Ping Li, Yongjie Dai, Zhaoe Min and Lei Chen
Alzheimer?s disease (AD) is an irreversible neurodegenerative disease. Providing trustworthy AD progression predictions for at-risk individuals contributes to early identification of AD patients and holds significant value in discovering effective treatm...
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Tahani Alqurashi
Arabic dialect identification (ADI) has recently drawn considerable interest among researchers in language recognition and natural language processing fields. This study investigated the use of a character-level model that is effectively unrestricted in ...
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Alysha van Duynhoven and Suzana Dragicevic
An open problem impeding the use of deep learning (DL) models for forecasting land cover (LC) changes is their bias toward persistent cells. By providing sample weights for model training, LC changes can be allocated greater influence in adjustments to m...
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Eyal Klang, Matthew A. Levin, Shelly Soffer, Alexis Zebrowski, Benjamin S. Glicksberg, Brendan G. Carr, Jolion Mcgreevy, David L. Reich and Robert Freeman
The Epic electronic health record (EHR) is a commonly used EHR in the United States. This EHR contain large semi-structured ?flowsheet? fields. Flowsheet fields lack a well-defined data dictionary and are unique to each site. We evaluated a simple free-t...
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