S Soundararajan
Biographic Data
| ID | 7569373 |
|---|---|
| NAME | S Soundararajan |
| GIVEN NAMES | S |
| FAMILY NAME | Soundararajan |
| SIGNATURE | SOUNDARARAJAN S |
| AFFILIATIONS | Velammal Educational Trust |
| ORCID | 0000-0002-4876-8321 |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Cloud-powered efficiency
A consensus statement on dual purpose pathogen surveillance systems
The COVID-19 pandemic progressed pathogen surveillance, from improved wastewater surveillance expertise and infrastructure, increased genomic sequencing capacity, to better integration between large datasets that informed policy decisions. Yet current systems are inadequate for a future facing frequent pandemics threats [1]. There is inequitable access to pathogen surveillance globally, with existing infrastructure favouring high-income countries…
Biomedical image restoration using machine learning GPU acceleration approach for precision improvement
Focusing the image in a single x-ray projection, an algorithm proposed for actual time volumetric image rebuilt and 3-dimensional location of the lump. Using the Principal Component Analysis (PCA) initialize the parameterized Deformation Vector Fields (DVF) of pulmonary movement. By adjusting the PCA coefficients, applied the DVF applied to optimize the reference image so that, the simulated projection of the rebuilt image matches the observed pr…
No prominent works on this page.
Biomedical image restoration using machine learning GPU acceleration approach for precision improvement
Focusing the image in a single x-ray projection, an algorithm proposed for actual time volumetric image rebuilt and 3-dimensional location of the lump. Using the Principal Component Analysis (PCA) initialize the parameterized Deformation Vector Fields (DVF) of pulmonary movement. By adjusting the PCA coefficients, applied the DVF applied to optimize the reference image so that, the simulated projection of the rebuilt image matches the observed pr…
A consensus statement on dual purpose pathogen surveillance systems
The COVID-19 pandemic progressed pathogen surveillance, from improved wastewater surveillance expertise and infrastructure, increased genomic sequencing capacity, to better integration between large datasets that informed policy decisions. Yet current systems are inadequate for a future facing frequent pandemics threats [1]. There is inequitable access to pathogen surveillance globally, with existing infrastructure favouring high-income countries…
Cloud-powered efficiency
Computer Science (3 works) · Artificial Intelligence (2 works) · Acceleration (1 work) · Adversarial system (1 work) · Agriculture (1 work) · Algorithm (1 work) · Animal Disease Management and Epidemiology (1 work) · Bacillus and Francisella bacterial research (1 work) · Biology (1 work) · Business (1 work)