Sapsis相关文献与解析，生知库 | 链接生命科学的每一步

Domènech, Rut; Naimeh, Anna Maria; Putz, Tessa; Grupenhoff, Ashley R; Schlueter, Melanie; Boynton, Ryan M; Williams, John; Sapsis, David B; Restaino, Joseph; Tase, Nadia; Estes, Becky L; Safford, Hugh D

发表日期：2026

文献求助收藏

Multifidelity digital twin for real-time monitoring of structural dynamics in aquaculture net cages

用于实时监测水产养殖网箱结构动态的多保真数字孪生

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-025-27812-1

Katsidoniotaki, Eirini; Su, Biao; Kelasidi, Eleni; Sapsis, Themistoklis P

发表日期：2025

文献求助收藏

Information FOMO: The Unhealthy Fear of Missing Out on Information-A Method for Removing Misleading Data for Healthier Models

信息错失恐惧症：一种不健康的害怕错过信息的方法——一种去除误导性数据以构建更健康模型的方法

期刊:Entropy

影响因子:2

doi:10.3390/e26100835

Pickering, Ethan; Sapsis, Themistoklis P

发表日期：2024

文献求助收藏

Nonlinear wave evolution with data-driven breaking

非线性波演化与数据驱动的破碎

期刊:Nature Communications

影响因子:15.7

doi:10.1038/s41467-022-30025-z

Eeltink, D; Branger, H; Luneau, C; He, Y; Chabchoub, A; Kasparian, J; van den Bremer, T S; Sapsis, T P

发表日期：2022

文献求助收藏

Quantifying pyrodiversity and its drivers

量化火灾多样性及其驱动因素

期刊:Proceedings of the Royal Society B-Biological Sciences

影响因子:3.5

doi:10.1098/rspb.2020.3202

Steel, Zachary L; Collins, Brandon M; Sapsis, David B; Stephens, Scott L

发表日期：2021

文献求助收藏

New perspectives for the prediction and statistical quantification of extreme events in high-dimensional dynamical systems

高维动力系统中极端事件预测和统计量化的新视角

期刊:Philosophical Transactions of the Royal Society A-Mathematical Physical and Engineering Sciences

影响因子:3.7

doi:10.1098/rsta.2017.0133

Sapsis, Themistoklis P

发表日期：2018

文献求助收藏

Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks

基于数据驱动的高维混沌系统长短期记忆网络预测

期刊:Proceedings of the Royal Society A-Mathematical Physical and Engineering Sciences

影响因子:3

doi:10.1098/rspa.2017.0844

Vlachas, Pantelis R; Byeon, Wonmin; Wan, Zhong Y; Sapsis, Themistoklis P; Koumoutsakos, Petros

发表日期：2018

文献求助收藏

Data-assisted reduced-order modeling of extreme events in complex dynamical systems

复杂动力系统中极端事件的数据辅助降阶建模

期刊:PLoS One

影响因子:2.6

doi:10.1371/journal.pone.0197704

Wan, Zhong Yi; Vlachas, Pantelis; Koumoutsakos, Petros; Sapsis, Themistoklis

发表日期：2018

文献求助收藏

Young Women's Perceptions Regarding Communication with Healthcare Providers About Breast Cancer, Risk, and Prevention

年轻女性对与医疗保健提供者沟通乳腺癌、风险和预防的看法

期刊:

影响因子:

doi:10.1089/jwh.2016.6140

Lunsford, Natasha Buchanan; Sapsis, Karena F; Smither, Betsy; Reynolds, Jennifer; Wilburn, Ben; Fairley, Temeika

A minimization principle for the description of modes associated with finite-time instabilities.

用于描述与有限时间不稳定性相关的模态的最小化原理

期刊:Proceedings of the Royal Society A-Mathematical Physical and Engineering Sciences

影响因子:3

doi:10.1098/rspa.2015.0779

Babaee H, Sapsis T P

发表日期：2016

文献求助收藏

California Prescribed Fire Monitoring Program: dataset 2019-2024

加州计划烧除监测项目：2019-2024 年数据集

Multifidelity digital twin for real-time monitoring of structural dynamics in aquaculture net cages

用于实时监测水产养殖网箱结构动态的多保真数字孪生

Information FOMO: The Unhealthy Fear of Missing Out on Information-A Method for Removing Misleading Data for Healthier Models

信息错失恐惧症：一种不健康的害怕错过信息的方法——一种去除误导性数据以构建更健康模型的方法

Nonlinear wave evolution with data-driven breaking

非线性波演化与数据驱动的破碎

Quantifying pyrodiversity and its drivers

量化火灾多样性及其驱动因素

New perspectives for the prediction and statistical quantification of extreme events in high-dimensional dynamical systems

高维动力系统中极端事件预测和统计量化的新视角

Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks

基于数据驱动的高维混沌系统长短期记忆网络预测

Data-assisted reduced-order modeling of extreme events in complex dynamical systems

复杂动力系统中极端事件的数据辅助降阶建模

Young Women's Perceptions Regarding Communication with Healthcare Providers About Breast Cancer, Risk, and Prevention

年轻女性对与医疗保健提供者沟通乳腺癌、风险和预防的看法

A minimization principle for the description of modes associated with finite-time instabilities.

用于描述与有限时间不稳定性相关的模态的最小化原理