Ganesh Korwar
Biographic Data
| ID | 8967677 |
|---|---|
| NAME | Ganesh Korwar |
| GIVEN NAMES | Ganesh |
| FAMILY NAME | Korwar |
| SIGNATURE | KORWAR G |
| AFFILIATIONS | International Institute of Information Technology |
| 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 |
Machine Learning Algorithms for Classifying Visual Artistic Styles Across Historical Periods
A broad spectrum of interdisciplinary research problems have been identified in the homogeneous grouping of visual artistic styles through time: as a research topic at the precincts of machine learning and art history. This paper introduces a unified methodology of automatic detection of artistic styles with traditional machine learning algorithms as well as with current deep learning architectures. First, local handcrafted feature extraction met…
Ai-Assisted Notation Systems in Music Pedagogy
In this paper, an AI-assisted notation system is suggested to assist beginners, intermediate, and advanced musicians in the creation of scores with the help of intelligent score generation, a real-time experience, and an intelligent, pedagogically adjusted approach. The paper discusses the drawbacks of traditional teaching notation such as a slow response, fixed display, and and heavy workload among beginners. The proposed method uses a combinati…
Virtual Reality-Based Sculpture Education Frameworks
With the emergence of Virtual Reality (VR) technologies, the field of sculpture education has gained the opportunity to overcome the limitations of physical materials, studio environment, and conventional teaching structures. The proposed paper suggests a cohesive VR-based Sculpture Education Framework consisting of the combination of immersive tools and the recognized sculptural practices to improve learning of creativity, development of technic…
Sentiment Analysis of Folk Art Social Campaigns
Folk art is a deep method of social communication, which shows cultural identity, emotions of the community, and collective stories. The use of folk art in social campaigns is growing in the digital age as the means of triggering the feelings of empathy and reinforcing the awareness of the culture, although there is a lack of systemic assessment of the emotional response. The paper will investigate the combination of sentiment analysis strategies…
Ai for Managing Digital Learning Portfolios in Art
The growing pace of digital art activity and education of creativity requires strong systems that can store, measure, and analyze different multimodal artefacts of learning. The pedagogy of traditional portfolio based learning is constrained by manual tracking, subjectivity, and the amount of student-generated material in sketches, digital art, design version, studio comments, and multimedia stories. The paper describes an AI-based system of mana…
No prominent works on this page.
Virtual Reality-Based Sculpture Education Frameworks
With the emergence of Virtual Reality (VR) technologies, the field of sculpture education has gained the opportunity to overcome the limitations of physical materials, studio environment, and conventional teaching structures. The proposed paper suggests a cohesive VR-based Sculpture Education Framework consisting of the combination of immersive tools and the recognized sculptural practices to improve learning of creativity, development of technic…
Sentiment Analysis of Folk Art Social Campaigns
Folk art is a deep method of social communication, which shows cultural identity, emotions of the community, and collective stories. The use of folk art in social campaigns is growing in the digital age as the means of triggering the feelings of empathy and reinforcing the awareness of the culture, although there is a lack of systemic assessment of the emotional response. The paper will investigate the combination of sentiment analysis strategies…
Ai for Managing Digital Learning Portfolios in Art
The growing pace of digital art activity and education of creativity requires strong systems that can store, measure, and analyze different multimodal artefacts of learning. The pedagogy of traditional portfolio based learning is constrained by manual tracking, subjectivity, and the amount of student-generated material in sketches, digital art, design version, studio comments, and multimedia stories. The paper describes an AI-based system of mana…
Machine Learning Algorithms for Classifying Visual Artistic Styles Across Historical Periods
A broad spectrum of interdisciplinary research problems have been identified in the homogeneous grouping of visual artistic styles through time: as a research topic at the precincts of machine learning and art history. This paper introduces a unified methodology of automatic detection of artistic styles with traditional machine learning algorithms as well as with current deep learning architectures. First, local handcrafted feature extraction met…
Ai-Assisted Notation Systems in Music Pedagogy
In this paper, an AI-assisted notation system is suggested to assist beginners, intermediate, and advanced musicians in the creation of scores with the help of intelligent score generation, a real-time experience, and an intelligent, pedagogically adjusted approach. The paper discusses the drawbacks of traditional teaching notation such as a slow response, fixed display, and and heavy workload among beginners. The proposed method uses a combinati…
Aesthetic Perception and Analysis (3 works) · Deep learning (3 works) · Art Education and Development (2 works) · Creativity (2 works) · Art History and Market Analysis (1 works) · Art, Technology, and Culture (1 works) · Augmented reality (1 works) · Categorization (1 works) · Convolutional neural network (1 works) · Creativity technique (1 works)