Sulabha Narendra Patil
Biographic Data
| ID | 8967722 |
|---|---|
| NAME | Sulabha Narendra Patil |
| GIVEN NAMES | Sulabha Narendra |
| FAMILY NAME | Patil |
| SIGNATURE | PATIL S N |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
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 …
Multimodal Emotion Recognition Using Audio-Text Fusion and Transformer-Based Contextual Representation Learning
The ability of the affective computing system to recognize emotions is a major aspect of the system that allows intelligent machines to detect the emotional conditions of humans during natural conversations. The complementary affective and semantic information in human communication is usually not reflected in traditional emotion recognition methods based on one modality, e.g. speech or text. In a bid to overcome this shortcoming, the work presen…
No prominent works on this page.
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 …
Multimodal Emotion Recognition Using Audio-Text Fusion and Transformer-Based Contextual Representation Learning
The ability of the affective computing system to recognize emotions is a major aspect of the system that allows intelligent machines to detect the emotional conditions of humans during natural conversations. The complementary affective and semantic information in human communication is usually not reflected in traditional emotion recognition methods based on one modality, e.g. speech or text. In a bid to overcome this shortcoming, the work presen…
3D Surveying and Cultural Heritage (1 work) · Affective Computing (1 work) · Conservation Techniques and Studies (1 work) · Cultural heritage (1 work) · Decision support system (1 work) · Emotion and Mood Recognition (1 work) · Emotion recognition (1 work) · Encoder (1 work) · Feature learning (1 work) · Generalization (1 work)