Abhijeet Deshpande
Biographic Data
| ID | 8968733 |
|---|---|
| NAME | Abhijeet Deshpande |
| GIVEN NAMES | Abhijeet |
| FAMILY NAME | Deshpande |
| SIGNATURE | DESHPANDE A |
| AFFILIATIONS | International Institute of Information Technology |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Global Resonances
The modern Indian classical and folk fusion music has become an important musical trend shaped by the increased globalization, the digital spreading, and the transnational artistic interaction. Although these fusion practices are commonly loosely grouped into the term of a world music, the available literature rarely constructs systemic frameworks to examine the manner in which particular global musical influences interact with the Indian musical…
Applying Deep Neural Networks for Automated Restoration of Digitally Degraded Cultural Artifacts
The conservation and repair of culturally important artifacts have become a crucial issue due to the fast digitization of heritage collections. Nevertheless, the noise, blur, compression artifacts, and environmental degradation are some of the common reasons as to why digital forms of artifacts are degraded. The research paper proposes a deep learning representation of automated restoration of culturally damaged artifacts through digitally corrup…
Digital Printmaking Through Ai Style Transfer
The practice of digital printmaking is changing due to the combination of computational accuracy and cultural and artistic expression, which artificial intelligence is bringing. The neural style transfer and diffusion-based generative models make it possible to transform the local art culture like Madhubani, Ukiyo-e, and Cubist abstraction into the digital format and capture their cultural identity and accepted modern aesthetics. The use of AI in…
Employability and Visual Self-Presentation
The digitalized recruitment space is becoming more focused on visual self-presentation to transform the perception and assessment of employability. This paper analyzes the connection that exists between skills and experience in the workplace and digital portfolios with respect to the effect of visual storytelling on the hiring opinion. The discussed issue is the disconnect between real and visual capabilities and visually mediated visuals that ta…
Intelligent Recommendation Systems for Art Courses
This paper will describe a detailed outline of an emotion-based intelligent recommendation system to suit the field of art education. The model proposed unites cognitive modeling, hybrid algorithms of AI, and affective computing to customize the art course recommendation, which fits the creative style and emotional interest of the learners. The system also allows adaptive, context-based learning through the integration of content based, collabora…
Predictive Ai for Rhythm Synchronization in Training
Rhythm synchronization is a predictive type of AI that builds upon temporal modeling and cognitive neuroscience so as to augment the synchronization of auditory and motor responses in the dynamic training environment. This study examines the possibilities of intelligent systems in predicting patterns of rhythm and dynamically supporting the user to have a temporal alignment using multimodal feedback. The framework combines data of music beats, mo…
No prominent works on this page.
Digital Printmaking Through Ai Style Transfer
The practice of digital printmaking is changing due to the combination of computational accuracy and cultural and artistic expression, which artificial intelligence is bringing. The neural style transfer and diffusion-based generative models make it possible to transform the local art culture like Madhubani, Ukiyo-e, and Cubist abstraction into the digital format and capture their cultural identity and accepted modern aesthetics. The use of AI in…
Employability and Visual Self-Presentation
The digitalized recruitment space is becoming more focused on visual self-presentation to transform the perception and assessment of employability. This paper analyzes the connection that exists between skills and experience in the workplace and digital portfolios with respect to the effect of visual storytelling on the hiring opinion. The discussed issue is the disconnect between real and visual capabilities and visually mediated visuals that ta…
Intelligent Recommendation Systems for Art Courses
This paper will describe a detailed outline of an emotion-based intelligent recommendation system to suit the field of art education. The model proposed unites cognitive modeling, hybrid algorithms of AI, and affective computing to customize the art course recommendation, which fits the creative style and emotional interest of the learners. The system also allows adaptive, context-based learning through the integration of content based, collabora…
Predictive Ai for Rhythm Synchronization in Training
Rhythm synchronization is a predictive type of AI that builds upon temporal modeling and cognitive neuroscience so as to augment the synchronization of auditory and motor responses in the dynamic training environment. This study examines the possibilities of intelligent systems in predicting patterns of rhythm and dynamically supporting the user to have a temporal alignment using multimodal feedback. The framework combines data of music beats, mo…
Global Resonances
The modern Indian classical and folk fusion music has become an important musical trend shaped by the increased globalization, the digital spreading, and the transnational artistic interaction. Although these fusion practices are commonly loosely grouped into the term of a world music, the available literature rarely constructs systemic frameworks to examine the manner in which particular global musical influences interact with the Indian musical…
Applying Deep Neural Networks for Automated Restoration of Digitally Degraded Cultural Artifacts
The conservation and repair of culturally important artifacts have become a crucial issue due to the fast digitization of heritage collections. Nevertheless, the noise, blur, compression artifacts, and environmental degradation are some of the common reasons as to why digital forms of artifacts are degraded. The research paper proposes a deep learning representation of automated restoration of culturally damaged artifacts through digitally corrup…
Aesthetic Perception and Analysis (3 works) · Artificial neural network (2 works) · Convolutional neural network (2 works) · Deep learning (2 works) · Generative Adversarial Networks and Image Synthesis (2 works) · Music Technology and Sound Studies (2 works) · Abstraction (1 works) · Affective Computing (1 works) · Cognition (1 works) · Computational Creativity (1 works)