Sunita Samanta
Biographic Data
| ID | 10129055 |
|---|---|
| NAME | Sunita Samanta |
| GIVEN NAMES | Sunita |
| FAMILY NAME | Samanta |
| SIGNATURE | SAMANTA S |
| AFFILIATIONS | Siksha O Anusandhan University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Machine Learning for Color Optimization in Printing
The optimization of colors in printing has been a subject that is more than ever becoming a critical topic because industries are increasingly demanding greater precision, consistency and efficiency in printing on various substrates and equipment. Conventional color management methods are dependent on manual calibration, ICC profiling and deterministic models which sometimes do not cope with nonlinear device operation, ink substrate interactions …
Curating Ai-Generated Artworks Challenges and Solutions
The fast growth of artificial intelligence (AI) in the creative field has changed the way curators do their jobs and brought up difficult psychological, moral, and technical issues. Artworks created by algorithms, neural networks and generative models that are created by AI challenge traditional concepts of creation, ownership and aesthetic judgement. This essay examines how the roles of managers are evolving as they work to link the actions of h…
No prominent works on this page.
Machine Learning for Color Optimization in Printing
The optimization of colors in printing has been a subject that is more than ever becoming a critical topic because industries are increasingly demanding greater precision, consistency and efficiency in printing on various substrates and equipment. Conventional color management methods are dependent on manual calibration, ICC profiling and deterministic models which sometimes do not cope with nonlinear device operation, ink substrate interactions …
Curating Ai-Generated Artworks Challenges and Solutions
The fast growth of artificial intelligence (AI) in the creative field has changed the way curators do their jobs and brought up difficult psychological, moral, and technical issues. Artworks created by algorithms, neural networks and generative models that are created by AI challenge traditional concepts of creation, ownership and aesthetic judgement. This essay examines how the roles of managers are evolving as they work to link the actions of h…
Aesthetic Perception and Analysis (1 works) · Art, Technology, and Culture (1 works) · Artistic and Creative Research (1 works) · Color management (1 works) · Color perception and design (1 works) · Color Science and Applications (1 works) · Creative industries (1 works) · Digital printing (1 works) · Humanity (1 works) · ICC profile (1 works)