Sayantan Ghosh
Biographic Data
| ID | 7997427 |
|---|---|
| NAME | Sayantan Ghosh |
| GIVEN NAMES | Sayantan |
| FAMILY NAME | Ghosh |
| SIGNATURE | GHOSH S |
| AFFILIATIONS | Indian Institute of Science Education and Research Kolkata |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Infrastructure As Code In AI Engineering
The increasing complexity of Artificial Intelligence (AI) systems has amplified the need for reproducible, scalable, and efficient model deployment infrastructures. This study investigates the role of Infrastructure as Code (IaC) in enhancing reproducibility and operational efficiency within AI engineering environments. Using a mixed-method experimental design, three prominent IaC tools; Terraform, AWS CloudFormation, and Ansible were evaluated a…
Multiscale periodicities in aerosol optical depth over India
Aerosols exhibit periodic or cyclic variations depending on natural and anthropogenic sources over a region, which can get modulated by synoptic meteorological parameters such as winds, rainfall and relative humidity, and long-range transport. Information on periodicity and phase in aerosol properties assumes significance in prediction as well as to examine the radiative and climate effects of aerosols including its association with changes in cl…
No prominent works on this page.
Multiscale periodicities in aerosol optical depth over India
Aerosols exhibit periodic or cyclic variations depending on natural and anthropogenic sources over a region, which can get modulated by synoptic meteorological parameters such as winds, rainfall and relative humidity, and long-range transport. Information on periodicity and phase in aerosol properties assumes significance in prediction as well as to examine the radiative and climate effects of aerosols including its association with changes in cl…
Infrastructure As Code In AI Engineering
The increasing complexity of Artificial Intelligence (AI) systems has amplified the need for reproducible, scalable, and efficient model deployment infrastructures. This study investigates the role of Infrastructure as Code (IaC) in enhancing reproducibility and operational efficiency within AI engineering environments. Using a mixed-method experimental design, three prominent IaC tools; Terraform, AWS CloudFormation, and Ansible were evaluated a…
Aerosol (1 works) · Atmospheric aerosols and clouds (1 works) · Atmospheric optics (1 works) · Atmospheric Ozone and Climate (1 works) · Fourier transform (1 works) · Optical depth (1 works) · Phase (matter (1 works) · Radio Wave Propagation Studies (1 works) · Range (aeronautics (1 works) · Satellite (1 works)