Arpit Arora
Biographic Data
| ID | 10132485 |
|---|---|
| NAME | Arpit Arora |
| GIVEN NAMES | Arpit |
| FAMILY NAME | Arora |
| SIGNATURE | ARORA A |
| AFFILIATIONS | Chitkara University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Smart Contracts for Ai-Generated Art Rights
The swift AI-generated art development has further fueled the discussion on both authorship and ownership, as well as on whether digital rights can be enforced. The existing intellectual property paradigms lack the ability to recognise works produced by autonomous systems fully or in part, which presents proxies in the maintenance of copyright, derivatives and cross-jurisdictional identification of AI-related rights. With more and more creative o…
Intelligent Curation of Art Biennales and Exhibitions
The study is a detailed proposal of smart curation of art biennials and exhibitions, a combination of artificial intelligence (AI) and human curatorial practices. The paper suggests the method of a multilayered system that integrates multimodal data collection, semantic reasoning, alongside optimization through reinforcement learning as alternative approaches to increase thematic coherence, spatial design, and audience engagement. CNN types of gr…
Identifying Emotional Patterns in Young Musicians and Their Impact on Music Performance
This study explores the emotional patterns experienced by young musicians before performing and examines how their emotional beliefs influence these pre-performance emotions. A total of 320 students aged 10 to 18 years participated, recalling their most recent concert memory through a guided imagery induction. A selection of 10 emotional patterns was used to assess their feelings, and they selected Happy, Sad, Courageous, Angry, Elated, Inquisiti…
No prominent works on this page.
Identifying Emotional Patterns in Young Musicians and Their Impact on Music Performance
This study explores the emotional patterns experienced by young musicians before performing and examines how their emotional beliefs influence these pre-performance emotions. A total of 320 students aged 10 to 18 years participated, recalling their most recent concert memory through a guided imagery induction. A selection of 10 emotional patterns was used to assess their feelings, and they selected Happy, Sad, Courageous, Angry, Elated, Inquisiti…
Smart Contracts for Ai-Generated Art Rights
The swift AI-generated art development has further fueled the discussion on both authorship and ownership, as well as on whether digital rights can be enforced. The existing intellectual property paradigms lack the ability to recognise works produced by autonomous systems fully or in part, which presents proxies in the maintenance of copyright, derivatives and cross-jurisdictional identification of AI-related rights. With more and more creative o…
Intelligent Curation of Art Biennales and Exhibitions
The study is a detailed proposal of smart curation of art biennials and exhibitions, a combination of artificial intelligence (AI) and human curatorial practices. The paper suggests the method of a multilayered system that integrates multimodal data collection, semantic reasoning, alongside optimization through reinforcement learning as alternative approaches to increase thematic coherence, spatial design, and audience engagement. CNN types of gr…
Aesthetic Perception and Analysis (1 works) · Blockchain Technology Applications and Security (1 works) · Cognitive psychology (1 works) · Cultural heritage (1 works) · Data curation (1 works) · Digital curation (1 works) · Diverse Music Education Insights (1 works) · Embodied and Extended Cognition (1 works) · Exhibition (1 works) · General partnership (1 works)