Mary Gladence L
Biographic Data
| ID | 8969498 |
|---|---|
| NAME | Mary Gladence L |
| GIVEN NAMES | Mary |
| FAMILY NAME | Gladence L |
| SIGNATURE | L M G |
| AFFILIATIONS | Sathyabama Institute of Science and Technology |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Quantum-Inspired Algorithms for Enhancing Creativity in Generative Digital Art Models
The current speed in generative artificial intelligence has brought major development to the creation of digital art, but the current models are in most cases incapable of producing true creativity because of their dependence on learned data distributions. This article introduces a new model, which includes quantum-inspired algorithms into the generative digital art models to foster creativity, diversity, and originality. Based on the ideas of su…
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 …
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 …
Quantum-Inspired Algorithms for Enhancing Creativity in Generative Digital Art Models
The current speed in generative artificial intelligence has brought major development to the creation of digital art, but the current models are in most cases incapable of producing true creativity because of their dependence on learned data distributions. This article introduces a new model, which includes quantum-inspired algorithms into the generative digital art models to foster creativity, diversity, and originality. Based on the ideas of su…
Aesthetic Perception and Analysis (1 works) · Color management (1 works) · Color perception and design (1 works) · Color Science and Applications (1 works) · Computational Creativity (1 works) · Creativity (1 works) · Creativity in Education and Neuroscience (1 works) · Digital printing (1 works) · Generative grammar (1 works) · Generative model (1 works)