Ocean biogeochemical modelling
Ocean biogeochemical models describe the ocean's circulation, physical properties,
biogeochemical properties and their transformations using coupled differential equations …
biogeochemical properties and their transformations using coupled differential equations …
The cardiovascular system: mathematical modelling, numerical algorithms and clinical applications
Mathematical and numerical modelling of the cardiovascular system is a research topic that
has attracted remarkable interest from the mathematical community because of its intrinsic …
has attracted remarkable interest from the mathematical community because of its intrinsic …
[图书][B] Introduction to uncertainty quantification
TJ Sullivan - 2015 - books.google.com
This text provides a framework in which the main objectives of the field of uncertainty
quantification (UQ) are defined and an overview of the range of mathematical methods by …
quantification (UQ) are defined and an overview of the range of mathematical methods by …
[图书][B] Mathematical modelling of the human cardiovascular system: data, numerical approximation, clinical applications
Mathematical and numerical modelling of the human cardiovascular system has attracted
remarkable research interest due to its intrinsic mathematical difficulty and the increasing …
remarkable research interest due to its intrinsic mathematical difficulty and the increasing …
Anomaly detection and string stability analysis in connected automated vehicular platoons
In this study, we develop a comprehensive framework to model the impact of cyberattacks on
safety, security, and head-to-tail stability of connected and automated vehicular platoons …
safety, security, and head-to-tail stability of connected and automated vehicular platoons …
Covariance and uncertainty realism in space surveillance and tracking
AB Poore, JM Aristoff, JT Horwood… - Report of the Air Force …, 2016 - apps.dtic.mil
The characterization of uncertainty in the estimate of the state of a resident space object is
fundamental to many space surveillance tasks including data association, uncorrelated track …
fundamental to many space surveillance tasks including data association, uncorrelated track …
Optimization or Architecture: How to Hack Kalman Filtering
I Greenberg, N Yannay… - Advances in Neural …, 2024 - proceedings.neurips.cc
In non-linear filtering, it is traditional to compare non-linear architectures such as neural
networks to the standard linear Kalman Filter (KF). We observe that this mixes the evaluation …
networks to the standard linear Kalman Filter (KF). We observe that this mixes the evaluation …
Minimax classification under concept drift with multidimensional adaptation and performance guarantees
V Álvarez, S Mazuelas… - … Conference on Machine …, 2022 - proceedings.mlr.press
The statistical characteristics of instance-label pairs often change with time in practical
scenarios of supervised classification. Conventional learning techniques adapt to such …
scenarios of supervised classification. Conventional learning techniques adapt to such …
[HTML][HTML] The role of machine learning in knowledge-based response-adapted radiotherapy
With the continuous increase in radiotherapy patient-specific data from multimodality
imaging and biotechnology molecular sources, knowledge-based response-adapted …
imaging and biotechnology molecular sources, knowledge-based response-adapted …
Reference tag supported RFID tracking using robust support vector regression and Kalman filter
Site operations usually contain potential safety issues and an effective monitoring strategy
for operations is essential to predict and prevent risk. Regarding the status monitoring …
for operations is essential to predict and prevent risk. Regarding the status monitoring …