Shweta Bajaj
Biographic Data
| ID | 8967618 |
|---|---|
| NAME | Shweta Bajaj |
| GIVEN NAMES | Shweta |
| FAMILY NAME | Bajaj |
| SIGNATURE | BAJAJ S |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Managing Cross-Cultural Music Learning With Ai Tools
Teaching cross-cultural music is a pedagogical problem of cross-cultural differences in musical structure or notation, ornamentation, rhythmic patterns, and linguistic articulation. New opportunities to overcome these challenges are introduced by recent advances in artificial intelligence (AI) that allow making music education settings adaptive and culturally informed. This paper gives a proposal of an AI-based framework to regulate the process o…
Intelligent Museum Management Systems
IMMS is an innovative paradigm in the management, conservation, and mediational experience of cultural heritage organizations. IMMS can help transform museums into adaptable, responsive, knowledge-oriented places through artificial intelligence, Internet of Things, data-driven analytics, and cyber-physical infrastructures. This paper conceptualizes IMMS to be socio-technical ecosystems that integrate digital representations of objects, real time …
Deep Learning-Based Camera Settings Optimization
In this paper, a deep learning framework of automatic optimization of camera settings is described and can be used to enhance the quality of images and videos of various real-world scenes. Conventional camera control is based on manual-grasped heuristics or auto modes which tend to malfunction when subject to challenging lighting, motion and texture changes. To overcome these limitations, the proposed method develops camera parameter tuning as a …
Ai-Assisted Analysis of Emotional Expression and Narrative Accuracy in Broadcast Media Practices
This paper proposes an AI-enhanced model of the analysis of affective expression and storytelling validity in the modern broadcasting media practice. The content broadcast is more and more shaping the perception of the masses, but the systematic analysis of the emotional coloring and the factual integrity is mostly subjective and time-consuming. The suggested solution combines the multimodal artificial intelligence models used to analyze visual c…
No prominent works on this page.
Ai-Assisted Analysis of Emotional Expression and Narrative Accuracy in Broadcast Media Practices
This paper proposes an AI-enhanced model of the analysis of affective expression and storytelling validity in the modern broadcasting media practice. The content broadcast is more and more shaping the perception of the masses, but the systematic analysis of the emotional coloring and the factual integrity is mostly subjective and time-consuming. The suggested solution combines the multimodal artificial intelligence models used to analyze visual c…
Managing Cross-Cultural Music Learning With Ai Tools
Teaching cross-cultural music is a pedagogical problem of cross-cultural differences in musical structure or notation, ornamentation, rhythmic patterns, and linguistic articulation. New opportunities to overcome these challenges are introduced by recent advances in artificial intelligence (AI) that allow making music education settings adaptive and culturally informed. This paper gives a proposal of an AI-based framework to regulate the process o…
Intelligent Museum Management Systems
IMMS is an innovative paradigm in the management, conservation, and mediational experience of cultural heritage organizations. IMMS can help transform museums into adaptable, responsive, knowledge-oriented places through artificial intelligence, Internet of Things, data-driven analytics, and cyber-physical infrastructures. This paper conceptualizes IMMS to be socio-technical ecosystems that integrate digital representations of objects, real time …
Deep Learning-Based Camera Settings Optimization
In this paper, a deep learning framework of automatic optimization of camera settings is described and can be used to enhance the quality of images and videos of various real-world scenes. Conventional camera control is based on manual-grasped heuristics or auto modes which tend to malfunction when subject to challenging lighting, motion and texture changes. To overcome these limitations, the proposed method develops camera parameter tuning as a …
3D Surveying and Cultural Heritage (1 work) · Advanced Vision and Imaging (1 work) · Conservation Techniques and Studies (1 work) · Convolutional neural network (1 work) · Cultural heritage (1 work) · Decision support system (1 work) · Deep learning (1 work) · Diverse Music Education Insights (1 work) · Emotion and Mood Recognition (1 work) · Emotional expression (1 work)