Biswa Mohan Acharya
Biographic Data
| ID | 10128828 |
|---|---|
| NAME | Biswa Mohan Acharya |
| GIVEN NAMES | Biswa Mohan |
| FAMILY NAME | Acharya |
| SIGNATURE | ACHARYA B M |
| AFFILIATIONS | Siksha O Anusandhan University |
| ORCID | 0000-0002-4796-6035 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Predicting Exhibition Success With Neural Networks
The forecast of art and cultural exhibition success has become more of a concern to galleries, museums, and creative institutions aiming at data-driven methods to increase audience attendance, utilize resources to capacity and improve financial performance. Conventional methods of statistics do not provide much potential to model multifaceted, nonlinear relationships between the various factors, including visitor behaviour, marketing impact, soci…
Managing Ai Tools in Traditional Art Curriculum
The swift onslaught of artificial intelligence in the creative domain has disturbed the long-held beliefs regarding the process of learning, rehearsing, and mastering visual arts. Conventional art education has long been based on embodied methods, including observation, repetition, sensual awareness, in which a sense of touching charcoal or feeling a brushstroke is a constituent of knowledge-making. The emergence of AI, starting with search engin…
No prominent works on this page.
Predicting Exhibition Success With Neural Networks
The forecast of art and cultural exhibition success has become more of a concern to galleries, museums, and creative institutions aiming at data-driven methods to increase audience attendance, utilize resources to capacity and improve financial performance. Conventional methods of statistics do not provide much potential to model multifaceted, nonlinear relationships between the various factors, including visitor behaviour, marketing impact, soci…
Managing Ai Tools in Traditional Art Curriculum
The swift onslaught of artificial intelligence in the creative domain has disturbed the long-held beliefs regarding the process of learning, rehearsing, and mastering visual arts. Conventional art education has long been based on embodied methods, including observation, repetition, sensual awareness, in which a sense of touching charcoal or feeling a brushstroke is a constituent of knowledge-making. The emergence of AI, starting with search engin…
Aesthetic Perception and Analysis (1 work) · Art Education and Development (1 work) · Art, Technology, and Culture (1 work) · Artificial neural network (1 work) · Conferences and Exhibitions Management (1 work) · Convolutional neural network (1 work) · Creativity (1 work) · Cultural Industries and Urban Development (1 work) · Curriculum (1 work) · Digital art (1 work)