Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models [0.03%]
嵌套主动学习以实现高效模型背景化和参数化：使用多尺度计算模型生成模拟人群的途径
Chase Cockrell,Jonathan Ozik,Nick Collier et al.
Chase Cockrell et al.
There is increasing interest in the use of mechanism-based multi-scale computational models (such as agent-based models (ABMs)) to generate simulated clinical populations in order to discover and evaluate potential diagnostic and therapeuti...
Advanced models for centroidal particle dynamics: short-range collision avoidance in dense crowds [0.03%]
先进的质心粒子动力学模型：稠密人群中的短程碰撞避免行为
Omar Hesham,Gabriel Wainer
Omar Hesham
Computer simulation of dense crowds is finding increased use in event planning, congestion prediction, and threat assessment. State-of-the-art particle-based crowd methods assume and aim for collision-free trajectories. That is an idealisti...
Evolving convolutional neural network parameters through the genetic algorithm for the breast cancer classification problem [0.03%]
基于遗传算法演化卷积神经网络参数的乳腺癌分类问题研究
Khatereh Davoudi,Parimala Thulasiraman
Khatereh Davoudi
Breast cancer is the most frequently diagnosed cancer and the leading cause of cancer mortality in women around the world. However, it can be controlled effectively by early diagnosis, followed by effective treatment. Clinical specialists t...
Misinformation making a disease outbreak worse: outcomes compared for influenza, monkeypox, and norovirus [0.03%]
misinformation使疾病爆发恶化：流感、猴痘和诺如病毒的结局比较
Julii Brainard,Paul R Hunter
Julii Brainard
Health misinformation can exacerbate infectious disease outbreaks. Especially pernicious advice could be classified as "fake news": manufactured with no respect for accuracy and often integrated with emotive or conspiracy-framed narratives....
Daniella Niyonkuru,Gabriel Wainer
Daniella Niyonkuru
Development of Embedded Real-Time Systems is prone to error, and developing bug-free applications is expensive and no guarantees can be provided. We introduce the concept of Digital Quadruplet which includes: a 3D virtual representation of ...
JigCell Model Connector: building large molecular network models from components [0.03%]
JigCell模型连接器：基于组件构建大规模分子网络模型
Thomas C Jones Jr,Stefan Hoops,Layne T Watson et al.
Thomas C Jones Jr et al.
The growing size and complexity of molecular network models makes them increasingly difficult to construct and understand. Modifying a model that consists of tens of reactions is no easy task. Attempting the same on a model containing hundr...
Distributed dynamic simulations of networked control and building performance applications [0.03%]
分布式动态网络控制及建筑性能应用仿真技术
Azzedine Yahiaoui
Azzedine Yahiaoui
The use of computer-based automation and control systems for smart sustainable buildings, often so-called Automated Buildings (ABs), has become an effective way to automatically control, optimize, and supervise a wide range of building perf...
A stochastic agent-based model of pathogen propagation in dynamic multi-relational social networks [0.03%]
动态多重社会关系网络中的病原体传播的随机主体模型
Bilal Khan,Kirk Dombrowski,Mohamed Saad
Bilal Khan
We describe a general framework for modeling and stochastic simulation of epidemics in realistic dynamic social networks, which incorporates heterogeneity in the types of individuals, types of interconnecting risk-bearing relationships, and...
Gregory A Silver,John A Miller,Maria Hybinette et al.
Gregory A Silver et al.
Several fields have created ontologies for their subdomains. For example, the biological sciences have developed extensive ontologies such as the Gene Ontology, which is considered a great success. Ontologies could provide similar advantage...
Dennis U Anderson,Thomas J Knopp,James B Bassingthwaighte
Dennis U Anderson
The fitting of mathematical models to physiological systems can be tedious and difficult, whether one uses analog or digital computer methods. Both methods have their pros and cons depending on the available hardware and software and on the...