Mathematical Modeling and Numerical Simulation of Atherosclerosis Based on a Novel Surgeon's View [0.03%]
基于全新外科医生视角的动脉粥样硬化数学建模与数值模拟研究
Meisam Soleimani,Axel Haverich,Peter Wriggers
Meisam Soleimani
This paper deals with the mathematical modeling of atherosclerosis based on a novel hypothesis proposed by a surgeon, Prof. Dr. Axel Haverich (Circulation 135(3):205-207, 2017). Atherosclerosis is referred as the thickening of the artery wa...
High-Fidelity Simulation of Pathogen Propagation, Transmission and Mitigation in the Built Environment [0.03%]
构筑环境中病原体传播、传染和防治的高保真模拟
Rainald Löhner,Harbir Antil,Ashok Srinivasan et al.
Rainald Löhner et al.
An overview of high-fidelity modeling of pathogen propagation, transmission and mitigation in the built environment is given. In order to derive the required physical and numerical models, the current understanding of pathogen, and in parti...
Risk Assessment of Infection by Airborne Droplets and Aerosols at Different Levels of Cardiovascular Activity [0.03%]
不同心血管水平下飞沫与气溶胶传播感染的危险性评估
Jana Wedel,Paul Steinmann,Mitja Štrakl et al.
Jana Wedel et al.
Since end of 2019 the COVID-19 pandemic, caused by the SARS-CoV-2 virus, is threatening humanity. Despite the fact that various scientists across the globe try to shed a light on this new respiratory disease, it is not yet fully understood....
A Multiscale Approach for the Numerical Simulation of Turbulent Flows with Droplets [0.03%]
一种用于模拟带液滴湍流的大规模计算方法
Juan M Gimenez,Sergio R Idelsohn,Eugenio Oñate et al.
Juan M Gimenez et al.
A multiscale approach for the detailed simulation of water droplets dispersed in a turbulent airflow is presented. The multiscale procedure combines a novel representative volume element (RVE) with the Pseudo Direct Numerical Simulation (P-...
A Digital-Twin and Machine-Learning Framework for Ventilation System Optimization for Capturing Infectious Disease Respiratory Emissions [0.03%]
基于数字孪生和机器学习的通风系统优化框架用于捕获传染病呼吸道排放物
T I Zohdi
T I Zohdi
The pandemic of 2019 has led to an enormous interest in all aspects of modeling and simulation of infectious diseases. One central issue is the redesign and deployment of ventilation systems to mitigate the transmission of infectious diseas...
Grace C Y Peng,Mark Alber,Adrian Buganza Tepole et al.
Grace C Y Peng et al.
Machine learning is increasingly recognized as a promising technology in the biological, biomedical, and behavioral sciences. There can be no argument that this technique is incredibly successful in image recognition with immediate applicat...
An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications [0.03%]
一种关于JAYA算法及其版本和应用的综述文章
Raed Abu Zitar,Mohammed Azmi Al-Betar,Mohammed A Awadallah et al.
Raed Abu Zitar et al.
In this review paper, JAYA algorithm, which is a recent population-based algorithm is intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from evolutionary algorithms as well as the global optimal solut...
Application of Artificial Neural Network for Internal Combustion Engines: A State of the Art Review [0.03%]
人工神经网络在内燃机中的应用：现状及展望综述
Aditya Narayan Bhatt,Nitin Shrivastava
Aditya Narayan Bhatt
The automotive industry is facing a crucial time. The transformation from internal combustion engines to new electrical technologies requires enormous investment, and hence the IC engines are likely to serve as a means of transportation for...
Optimization of Thermal and Structural Design in Lithium-Ion Batteries to Obtain Energy Efficient Battery Thermal Management System (BTMS): A Critical Review [0.03%]
用于获得节能电池热管理系统的锂离子电池热设计和结构优化：综述
H Fayaz,Asif Afzal,A D Mohammed Samee et al.
H Fayaz et al.
Covid-19 has given one positive perspective to look at our planet earth in terms of reducing the air and noise pollution thus improving the environmental conditions globally. This positive outcome of pandemic has given the indication that t...
Spectrum of Advancements and Developments in Multidisciplinary Domains for Generative Adversarial Networks (GANs) [0.03%]
多学科领域的生成对抗网络（GAN）进展与展望
Syed Khurram Jah Rizvi,Muhammad Ajmal Azad,Muhammad Moazam Fraz
Syed Khurram Jah Rizvi
The survey paper summarizes the recent applications and developments in the domain of Generative Adversarial Networks (GANs) i.e. a back propagation based neural network architecture for generative modeling. GANs is one of the most highligh...