Michael V. Ruzhansky

According to our database, Michael V. Ruzhansky authored at least 18 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson's disease.

Xuechao Wang, Junqing Huang, Marianna Chatzakou, Sven Nõmm, Elli Valla, Kadri Medijainen, Pille Taba, Aaro Toomela, Michael V. Ruzhansky

Biomed. Signal Process. Control., January, 2024

2023

Intrinsic Image Transfer for Illumination Manipulation.

Junqing Huang, Michael V. Ruzhansky, Qianying Zhang, Haihui Wang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis.

Xuechao Wang, Junqing Huang, Sven Nomm, Marianna Chatzakou, Kadri Medijainen, Aaro Toomela, Michael V. Ruzhansky

CoRR, 2023

Optimal Image Transport on Sparse Dictionaries.

Junqing Huang, Haihui Wang, Andreas Weiermann, Michael V. Ruzhansky

CoRR, 2023

Semi-sparsity Priors for Image Structure Analysis and Extraction.

Junqing Huang, Haihui Wang, Michael V. Ruzhansky

CoRR, 2023

Semi-sparsity on Piecewise Constant Function Spaces for Triangular Mesh Denoising.

Junqing Huang, Haihui Wang, Michael V. Ruzhansky

CoRR, 2023

A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics.

Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nõmm, Michael V. Ruzhansky

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2021

A note on K-functional, Modulus of smoothness, Jackson theorem and Bernstein-Nikolskii-Stechkin inequality on Damek-Ricci spaces.

Vishvesh Kumar, Michael V. Ruzhansky

J. Approx. Theory, 2021

Semi-Sparsity for Smoothing Filters.

Junqing Huang, Haihui Wang, Xuechao Wang, Michael V. Ruzhansky

CoRR, 2021

Explicit solutions for linear variable-coefficient fractional differential equations with respect to functions.

Joel E. Restrepo, Michael V. Ruzhansky, Durvudkhan Suragan

Appl. Math. Comput., 2021

The heat equation with strongly singular potentials.

Arshyn Altybay, Michael V. Ruzhansky, Mohammed Elamine Sebih, Niyaz Tokmagambetov

Appl. Math. Comput., 2021

2020

A parallel hybrid implementation of the 2D acoustic wave equation.

Arshyn Altybay, Michael V. Ruzhansky, Niyaz Tokmagambetov

CoRR, 2020

Tsunami propagation for singular topographies.

Arshyn Altybay, Michael V. Ruzhansky, Mohammed Elamine Sebih, Niyaz Tokmagambetov

CoRR, 2020

2019

Feature extraction for license plate location based on L0-norm smoothing.

Junqing Huang, Michael V. Ruzhansky, Haoxiang Feng, Lingfang Zheng, Xin Huang, Haihui Wang

Open Comput. Sci., 2019

2016

Approximation property and nuclearity on mixed-norm <i>L^p</i>, modulation and Wiener amalgam spaces.

J. Delgado, Michael V. Ruzhansky, B. Wang

J. Lond. Math. Soc., 2016

2010

Criteria for Bochner's extension problem.

Michael V. Ruzhansky, Mitsuru Sugimoto

Asymptot. Anal., 2010

2000

Abstract Optimal Linear Filtering.

Vladimir N. Fomin, Michael V. Ruzhansky

SIAM J. Control. Optim., 2000

Some results in abstract optimal linear filtering.

Vladimir N. Fomin, Michael V. Ruzhansky

Proceedings of the 39th IEEE Conference on Decision and Control, 2000