Pradnya Yuvraj Patil
Biographic Data
| ID | 10127745 |
|---|---|
| NAME | Pradnya Yuvraj Patil |
| GIVEN NAMES | Pradnya Yuvraj |
| FAMILY NAME | Patil |
| SIGNATURE | PATIL P Y |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Digital Forensics in Photography Education
The digital photographic history has transformed the principle of authenticity and novel educational patterns are to be established based on balanced models of creativity and forensic consciousness. As image manipulation grows and the images created by AI become more sophisticated, however, the education of photography should be not only artistically sophisticated but also analytical and morally capable. Including the digital forensics course in …
Deep Learning for Symbol Recognition in Modern Art
Modern art has symbolism, which goes beyond the literal, bringing its meaning in the form of abstraction, geometry, and color. This paper outlines a hybrid deep-learning model that is a combination between the fields of artistic semiotics and computational perception to conduct automated recognition of symbols in contemporary and modern artworks. The given architecture is a combination of Convolutional Neural Networks (CNNs) to analyze local text…
Predictive Models for Art Gallery Management
The study examines how an efficient and intelligent art gallery management can be developed using predictive models that integrate both data-driven decision-making and creativity and curatorial work. Contemporary art spaces are increasingly struggling with the issue of predicting visitor behavior, arranging the layout of the artwork, controlling the environment, and making sales predictions. In order to deal with such complexities, the work appli…
No prominent works on this page.
Digital Forensics in Photography Education
The digital photographic history has transformed the principle of authenticity and novel educational patterns are to be established based on balanced models of creativity and forensic consciousness. As image manipulation grows and the images created by AI become more sophisticated, however, the education of photography should be not only artistically sophisticated but also analytical and morally capable. Including the digital forensics course in …
Deep Learning for Symbol Recognition in Modern Art
Modern art has symbolism, which goes beyond the literal, bringing its meaning in the form of abstraction, geometry, and color. This paper outlines a hybrid deep-learning model that is a combination between the fields of artistic semiotics and computational perception to conduct automated recognition of symbols in contemporary and modern artworks. The given architecture is a combination of Convolutional Neural Networks (CNNs) to analyze local text…
Predictive Models for Art Gallery Management
The study examines how an efficient and intelligent art gallery management can be developed using predictive models that integrate both data-driven decision-making and creativity and curatorial work. Contemporary art spaces are increasingly struggling with the issue of predicting visitor behavior, arranging the layout of the artwork, controlling the environment, and making sales predictions. In order to deal with such complexities, the work appli…
Aesthetic Perception and Analysis (2 works) · Creativity (2 works) · Semiotics (2 works) · Art History and Market Analysis (1 works) · Attendance (1 works) · Convolutional neural network (1 works) · Cultural Industries and Urban Development (1 works) · Deep learning (1 works) · Digital forensics (1 works) · Digital Media and Visual Art (1 works)