Smitha K Smitha K
Biographic Data
| ID | 10127046 |
|---|---|
| NAME | Smitha K Smitha K |
| GIVEN NAMES | Smitha K |
| FAMILY NAME | Smitha K |
| SIGNATURE | K S K S |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Data Analytics for Audience Preferences in Photography
Photography as a visual art form and effective medium of communication has experienced a major revolution in the digital era. As the social media platforms and visual content consumption have expanded rapidly, the need to comprehend the preferences of the audience has become the major matter of focus among photographers, brands, and creators of visual content. In this paper, the authors discuss the application of data analytics to analyse, interp…
Ai-Powered Graphic Design Tools
The large-scale, swift development of AI-based graphic designing systems: generative models, intelligent layout systems, automated typography engines, and multimodal creative assistants has triggered a paradigm shift in the art and design education curricula. These technologies do not only hasten the creative work processes, but they also change the very cognitive, aesthetic and pedagogical principles that design education has been founded on. Th…
Crowd-Sourced Folk Art Classification Models
Folk art is a diverse nexus of place identities, craft systems of knowledge and intergenerational cultural memory. However, its visual heterogeneity, including motifs, materials, techniques, and vocabularies of symbols, creates tremendous problems of scalable digital classification. The conventional manual classification of folk art collections is usually limited by a short pool of expertise, subjective knowledge, and archival diversity. To fill …
Predictive Analytics for Sculpture Exhibition Planning
The research paper discusses the use of predictive analytics in the planning of sculpture exhibitions to enhance the curatorial decision-making process using predictive decision-making based on the data. The study incorporates the elements of data science, computational aesthetics, theory of art object/virtual display curator, forming a building of modular prediction and using regression, classification, clustering, ensemble learning, and time-se…
No prominent works on this page.
Data Analytics for Audience Preferences in Photography
Photography as a visual art form and effective medium of communication has experienced a major revolution in the digital era. As the social media platforms and visual content consumption have expanded rapidly, the need to comprehend the preferences of the audience has become the major matter of focus among photographers, brands, and creators of visual content. In this paper, the authors discuss the application of data analytics to analyse, interp…
Ai-Powered Graphic Design Tools
The large-scale, swift development of AI-based graphic designing systems: generative models, intelligent layout systems, automated typography engines, and multimodal creative assistants has triggered a paradigm shift in the art and design education curricula. These technologies do not only hasten the creative work processes, but they also change the very cognitive, aesthetic and pedagogical principles that design education has been founded on. Th…
Crowd-Sourced Folk Art Classification Models
Folk art is a diverse nexus of place identities, craft systems of knowledge and intergenerational cultural memory. However, its visual heterogeneity, including motifs, materials, techniques, and vocabularies of symbols, creates tremendous problems of scalable digital classification. The conventional manual classification of folk art collections is usually limited by a short pool of expertise, subjective knowledge, and archival diversity. To fill …
Predictive Analytics for Sculpture Exhibition Planning
The research paper discusses the use of predictive analytics in the planning of sculpture exhibitions to enhance the curatorial decision-making process using predictive decision-making based on the data. The study incorporates the elements of data science, computational aesthetics, theory of art object/virtual display curator, forming a building of modular prediction and using regression, classification, clustering, ensemble learning, and time-se…
Aesthetic Perception and Analysis (4 works) · Analytics (2 works) · Art History and Market Analysis (2 works) · Creativity (2 works) · Annotation (1 work) · Architecture (1 work) · Art, Technology, and Culture (1 work) · CLARITY (1 work) · Convolutional neural network (1 work) · Craft (1 work)