Gopal Goyal
Biographic Data
| ID | 8968036 |
|---|---|
| NAME | Gopal Goyal |
| GIVEN NAMES | Gopal |
| FAMILY NAME | Goyal |
| SIGNATURE | GOYAL G |
| AFFILIATIONS | Vivekananda Global University |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Immersive Metaverse Art Installations Challenging Conventional Ideas of Space and Materiality
The artistic world is being transformed by immersive metaversion art installations that are redefining notions of space and materiality in the conventional way. These installations contrast with the conventional physical art in that they are situated in digitally constructed spaces in which the space can be non-Euclidean, fluid and dynamic. The paper discusses the use of metaverse-based art to supplement the computational structures of real-time …
Intelligent Systems for Digital Exhibition Design
The study evaluates the evolution and the use of smart systems in designing digital exhibits with the key aspects of how artificial intelligence (AI), machine learning, and immersive technologies can redefine the conventional exhibition models into responsive, interactive, and data-driven cultural experiences. Combining computational intelligence with the human imagination, the study shows that AI-aided curation can boost aesthetic expression, as…
Ai-Driven Simulation of Material Behavior in Sculptural Arts
The arts of sculpture are adopting digital design and creation, although sculptors are still struggling to anticipate the behaviour of complicated materials like deformation, stress distribution, fracture, and surface reaction during modeling and post-processing. The main goal of the study is to create an AI-based simulation platform that should be able to predict the behavior of materials used in sculptural artworks with high precision to make i…
Emotion Modeling in Sculpture Design Using Neural Networks
The paper introduces a unified method of designing sculptures on a feeling-sensitive neural network basis. The proposed Emotion-Form Neural Embedding Network (EFNEN) is based on the combination of Convolutional Neural Networks (CNNs) and Graph Neural Networks (GNNs) to learn emotion-related correlations between sculptural form and emotion. The system was trained and tested using a selection of 1,200 annotated 3D models that had both geometric and…
Folk Art Festivals and Ai-Driven Visitor Analytics
Folk art festivals are crucial in maintaining cultural heritage, identifying the community, and intergenerational knowledge transfer. Nonetheless, visitor behavior in such culturally saturated settings is difficult to comprehend because of shifting patterns of crowds, differing groups of participants, and different forms of involvement. The latest developments in the field of artificial intelligence (AI) provide a strong toolkit to filter and pro…
No prominent works on this page.
Intelligent Systems for Digital Exhibition Design
The study evaluates the evolution and the use of smart systems in designing digital exhibits with the key aspects of how artificial intelligence (AI), machine learning, and immersive technologies can redefine the conventional exhibition models into responsive, interactive, and data-driven cultural experiences. Combining computational intelligence with the human imagination, the study shows that AI-aided curation can boost aesthetic expression, as…
Ai-Driven Simulation of Material Behavior in Sculptural Arts
The arts of sculpture are adopting digital design and creation, although sculptors are still struggling to anticipate the behaviour of complicated materials like deformation, stress distribution, fracture, and surface reaction during modeling and post-processing. The main goal of the study is to create an AI-based simulation platform that should be able to predict the behavior of materials used in sculptural artworks with high precision to make i…
Emotion Modeling in Sculpture Design Using Neural Networks
The paper introduces a unified method of designing sculptures on a feeling-sensitive neural network basis. The proposed Emotion-Form Neural Embedding Network (EFNEN) is based on the combination of Convolutional Neural Networks (CNNs) and Graph Neural Networks (GNNs) to learn emotion-related correlations between sculptural form and emotion. The system was trained and tested using a selection of 1,200 annotated 3D models that had both geometric and…
Folk Art Festivals and Ai-Driven Visitor Analytics
Folk art festivals are crucial in maintaining cultural heritage, identifying the community, and intergenerational knowledge transfer. Nonetheless, visitor behavior in such culturally saturated settings is difficult to comprehend because of shifting patterns of crowds, differing groups of participants, and different forms of involvement. The latest developments in the field of artificial intelligence (AI) provide a strong toolkit to filter and pro…
Immersive Metaverse Art Installations Challenging Conventional Ideas of Space and Materiality
The artistic world is being transformed by immersive metaversion art installations that are redefining notions of space and materiality in the conventional way. These installations contrast with the conventional physical art in that they are situated in digitally constructed spaces in which the space can be non-Euclidean, fluid and dynamic. The paper discusses the use of metaverse-based art to supplement the computational structures of real-time …
Aesthetic Perception and Analysis (4 works) · Cultural heritage (2 works) · Music Technology and Sound Studies (2 works) · Virtual Reality Applications and Impacts (2 works) · Visitor pattern (2 works) · Affordance (1 works) · Analytics (1 works) · Architecture (1 works) · Architecture and Computational Design (1 works) · Art, Technology, and Culture (1 works)