Rough McKean–Vlasov dynamics for robust ensemble Kalman filtering

M Coghi, T Nilssen, N Nüsken… - The Annals of Applied …, 2023 - projecteuclid.org
Motivated by the challenge of incorporating data into misspecified and multiscale dynamical
models, we study a McKean–Vlasov equation that contains the data stream as a common …

Random dynamical systems: addressing uncertainty, nonlinearity and predictability

NS Namachchivaya - Meccanica, 2016 - Springer
Nonlinearity and noise play a significant role in an enormous range of subjects across the
entire spectrum of science and engineering. This paper considers several research topics …

[KİTAP][B] Kopos: A Framework to Study and Detect Physical and Cognitive Fatigue Concurrently

V Kanal - 2021 - search.proquest.com
Fatigue is one of the most prevalent phenomena in human beings, and yet its detection is
highly subjective and poorly understood. The phenomenon of fatigue has a huge impact on …

Pneumon: A dddas framework to detect fatigue and dyspnea in copd

V Kanal, A Miller, D Vester, J Liller, M Kyrarini… - Dynamic Data Driven …, 2020 - Springer
Abstract Chronic Obstructive Pulmonary Disease (COPD) is one of the major pulmonary
diseases and a leading cause of morbidity and mortality worldwide. Although there is no …

[PDF][PDF] Dynamic Data-Driven Adaptive Observations in a Vortex Flowfield

R Beeson, HC Yeong, NS Namachchivaya - congressline.hu
The emergence of sensing concepts that capitalize on the rapidly increasing availability of
sensor controllable degrees of freedom, ranging from sensor operating modes to physical …