Sanket Patil
Biographic Data
| ID | 8969242 |
|---|---|
| NAME | Sanket Patil |
| GIVEN NAMES | Sanket |
| FAMILY NAME | Patil |
| SIGNATURE | PATIL S |
| AFFILIATIONS | University of Mumbai |
| ORCID | 0000-0003-2708-1739 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Data-Based Aesthetics
Data-based aesthetics is a new interdisciplinary paradigm, which aims to measure the beauty of art by providing such computational descriptors that can be quantified. Aesthetic judgment, in terms of sculptural forms, has always been subjective, based on cultural, historical, and perceptual influences, as well. The current paper suggests a systematic approach to measuring beauty in the art of sculpture, a combination of geometric analysis of beaut…
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…
Cloud-Based Print Management Systems
Cloud-Based Print Management Systems represent a paradigm shift of the old style of on-shelf print infrastructures to an innovative, scalable, secure, and cost-effective print systems hosted by the cloud. These systems use cloud computing to print jobs, user authentication, and device communication without any complications in various platforms and network environments. The architecture is usually made up of the following core components which ar…
Deep Learning for Symbol Recognition in Modern Art
Modern art has symbolism, which goes beyond the literal, bringing its meaning in the form of abstraction, geometry, and color. This paper outlines a hybrid deep-learning model that is a combination between the fields of artistic semiotics and computational perception to conduct automated recognition of symbols in contemporary and modern artworks. The given architecture is a combination of Convolutional Neural Networks (CNNs) to analyze local text…
Ethical Concerns in Ai-Generated Sculptural Art
The accelerated development of AI-created sculptural works has set new standards of creativity, authors, and expression of material, but it also delivers some serious ethical issues, questionable by conventional artistic and cultural paradigms. As the roles of generative models, mesh networks in 3D and computational fabrication tools continue to be integrated into the sculptural ideation and production processes, questions of authenticity of the …
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Cloud-Based Print Management Systems
Cloud-Based Print Management Systems represent a paradigm shift of the old style of on-shelf print infrastructures to an innovative, scalable, secure, and cost-effective print systems hosted by the cloud. These systems use cloud computing to print jobs, user authentication, and device communication without any complications in various platforms and network environments. The architecture is usually made up of the following core components which ar…
Deep Learning for Symbol Recognition in Modern Art
Modern art has symbolism, which goes beyond the literal, bringing its meaning in the form of abstraction, geometry, and color. This paper outlines a hybrid deep-learning model that is a combination between the fields of artistic semiotics and computational perception to conduct automated recognition of symbols in contemporary and modern artworks. The given architecture is a combination of Convolutional Neural Networks (CNNs) to analyze local text…
Ethical Concerns in Ai-Generated Sculptural Art
The accelerated development of AI-created sculptural works has set new standards of creativity, authors, and expression of material, but it also delivers some serious ethical issues, questionable by conventional artistic and cultural paradigms. As the roles of generative models, mesh networks in 3D and computational fabrication tools continue to be integrated into the sculptural ideation and production processes, questions of authenticity of the …
Data-Based Aesthetics
Data-based aesthetics is a new interdisciplinary paradigm, which aims to measure the beauty of art by providing such computational descriptors that can be quantified. Aesthetic judgment, in terms of sculptural forms, has always been subjective, based on cultural, historical, and perceptual influences, as well. The current paper suggests a systematic approach to measuring beauty in the art of sculpture, a combination of geometric analysis of beaut…
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…
Aesthetic Perception and Analysis (3 works) · Convolutional neural network (2 works) · Sculpture (2 works) · Software deployment (2 works) · 3D Surveying and Cultural Heritage (1 work) · Access control (1 work) · Affective Computing (1 work) · Architecture and Computational Design (1 work) · Art History and Market Analysis (1 work) · Art, Technology, and Culture (1 work)