Mark D. Butala

Orcid: 0000-0002-7992-3750

Affiliations:
  • Zhejiang University, China


According to our database1, Mark D. Butala authored at least 25 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Weighted Joint Maximum Mean Discrepancy Enabled Multi-Source-Multi-Target Unsupervised Domain Adaptation Fault Diagnosis.
CoRR, 2023

Hard Sample Mining Enabled Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis.
CoRR, 2023

DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding.
CoRR, 2023

Electromagnetic Transfer Function Confidence Analysis Evaluated at Usarray Site NDE29.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Development of a Universal Post-processing Tool for Computational Fluid Dynamics Datasets CFD post-processing tool Development, design and optimization of a lightweight and portable CFD post-processing tool based on VTK and QT.
Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering, 2023

2022
Parametric Magnetotelluric Impedance Tensor Estimation.
IEEE Trans. Geosci. Remote. Sens., 2022

Efficient Model Selection in Switching Linear Dynamic Systems by Graph Clustering.
IEEE Signal Process. Lett., 2022

A Parametric Method for Robust Magnetotelluric Transfer Function Estimation Evaluated with Data at Different Sampling Frequencies.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Quantification of Mismatch Error in Randomly Switching Linear State-Space Models.
IEEE Signal Process. Lett., 2021

Spatial-temporal switching estimators for imaging locally concentrated dynamics.
CoRR, 2021

An Evaluation of Robust Remote Reference and Parametric Magnetotelluric Transfer Function Estimation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Knowledge Management Framework for Vehicle Hazard Analysis.
Proceedings of the IEEE International Conference on e-Business Engineering, 2021

2020
Efficient model selection in switching linear dynamic systems.
CoRR, 2020

2019
EMI Radiation Prediction and Structure Optimization of Packages by Deep Learning.
IEEE Access, 2019

2012
A localized ensemble Kalman smoother.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

2011
Resolution assessment in dynamic image formation.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
A state-space approach to dynamic tomography
PhD thesis, 2010

A robust null space method for linear equality constrained state estimation.
IEEE Trans. Signal Process., 2010

2009
Tomographic Imaging of Dynamic Objects With the Ensemble Kalman Filter.
IEEE Trans. Image Process., 2009

Optimal dynamic tomography for wide-sense stationary spatial random fields.
Proceedings of the International Conference on Image Processing, 2009

2008
Dynamic Tomographic Imaging of the Solar Corona.
IEEE J. Sel. Top. Signal Process., 2008

Time-resolved cardiac CT reconstruction using the ensemble Kalman Filter.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Asymptotic convergence of the ensemble Kalman filter.
Proceedings of the International Conference on Image Processing, 2008

2007
A Monte Carlo Technique for Large-Scale Dynamic Tomography.
Proceedings of the IEEE International Conference on Acoustics, 2007

2003
Open-content signal processing laboratories in connexions.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003


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