A DeepONet multi-fidelity approach for residual learning in reduced order modeling
In the present work, we introduce a novel approach to enhance the precision of reduced
order models by exploiting a multi-fidelity perspective and DeepONets. Reduced models …
order models by exploiting a multi-fidelity perspective and DeepONets. Reduced models …
Data reduction and reconstruction of wind turbine wake employing data driven approaches
M Geibel, G Bangga - Energies, 2022 - mdpi.com
Data driven approaches are utilized for optimal sensor placement as well as for velocity
prediction of wind turbine wakes. In this work, several methods are investigated for suitability …
prediction of wind turbine wakes. In this work, several methods are investigated for suitability …
Data-induced interactions of sparse sensors
Large-dimensional empirical data in science and engineering frequently has low-rank
structure and can be represented as a combination of just a few eigenmodes. Because of …
structure and can be represented as a combination of just a few eigenmodes. Because of …
Constrained optimization of sensor placement for nuclear digital twins
The deployment of extensive sensor arrays in nuclear reactors is infeasible due to
challenging operating conditions and inherent spatial limitations. Strategically placing …
challenging operating conditions and inherent spatial limitations. Strategically placing …
[HTML][HTML] Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods
Groundwater monitoring and specific collection of data on the spatiotemporal dynamics of
the aquifer are prerequisites for effective groundwater management and determine nearly all …
the aquifer are prerequisites for effective groundwater management and determine nearly all …
Parametric studies of subsonic and supersonic reentry phases of the Orion Crew Module through numerical simulations
J Buchmeier, FNU Himanshu, D Ramezanian… - AIAA Scitech 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-1375. vid A parametric study of the
static aerodynamic properties of the Orion Crew Module during supersonic and subsonic …
static aerodynamic properties of the Orion Crew Module during supersonic and subsonic …
[PDF][PDF] Privacy Sensitive Building Monitoring Through Generative Sensors.
A Mitra, D Trystram, C Cérin - IoTBDS, 2024 - scitepress.org
A building equipped with sensors collects heterogeneous data, distributed naturally across
zones. The lack of spatiotemporal awareness can lead to excessive sensors or non-optimal …
zones. The lack of spatiotemporal awareness can lead to excessive sensors or non-optimal …
Leveraging Optimal Sparse Sensor Placement to Aggregate a Network of Digital Twins for Nuclear Subsystems.
Nuclear power plants (NPPs) require continuous monitoring of various systems, structures,
and components to ensure safe and efficient operations. The critical safety testing of new …
and components to ensure safe and efficient operations. The critical safety testing of new …
Sparse pixel image sensor
As conventional frame-based cameras suffer from high energy consumption and latency,
several new types of image sensors have been devised, with some of them exploiting the …
several new types of image sensors have been devised, with some of them exploiting the …
Low-cost singular value decomposition with optimal sensor placement
A Hetherington, SL Clainche - arXiv preprint arXiv:2311.09791, 2023 - arxiv.org
This paper presents a new method capable of reconstructing datasets with great precision
and very low computational cost using a novel variant of the singular value decomposition …
and very low computational cost using a novel variant of the singular value decomposition …